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Best Doctorates in Computer Science: Top PhD Programs, Career Paths, and Salaries

Getting a PhD in the field of computer science is the best way to influence the future of technological innovation and research. If you are interested in getting a computer science doctoral degree, then our list of the best PhDs in Computer Science will help you find the program that caters most to your goals.

A PhD in Computer Science can branch out into a wide variety of science and tech fields. Be it information assurance, computational science theory, or cyber operations, you can specialize your computer science PhD to suit your interests. In our guide, we’ve also gone into detail about the average PhD in Computer Science salary and the best computer science jobs PhD students can get.

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What is a phd in computer science.

A PhD in Computer Science is a doctoral degree where graduate students perform research and submit original dissertations covering advanced computing systems topics. Computer science is a broad field that covers artificial intelligence, operating systems, software engineering, and data science.

Your doctoral dissertation will include a research proposal, coursework in advanced topics related to computer science, and a thesis presentation. The wide span of this field allows you to choose a PhD program that can cover topics in any high-performance computing systems area.

How to Get Into a Computer Science PhD Program: Admission Requirements

The admissions requirements to get into a computer science PhD program include submitting your official transcripts from your undergraduate or graduate programs and resume. Your previous university coursework should showcase a strong background in software development, popular programming languages , and scientific computing.

Universities also usually require the submission of your GRE score. A combined score of 1,100 is typically where you want to be when applying to PhD programs. You’ll also usually be required to submit three or more letters of recommendation and a personal essay stating your thesis or research proposal. Keep in mind that each university’s admissions requirements will vary.

PhD in Computer Science Admission Requirements

• 3.0 or higher cumulative GPA
• Three letters of recommendation
• Official transcript from your undergraduate degree or your graduate degree
• Prerequisite courses covering computer science academic programs
• Personal statement highlighting proposal of thesis or research topic

Computer Science PhD Acceptance Rates: How Hard Is It to Get Into a PhD Program in Computer Science?

It is very hard to get into a PhD program in computer science. This is because prospective students need to meet a very competitive GPA, have an excellent academic background, and fulfill other advanced program requirements. Your chances of getting accepted into a computer science doctorate degree program will typically range between 10 to 20 percent.

In fact, less than 10 percent of computer science graduate applicants are accepted at the University of California. Similarly, Duke University reports that only around 15.7 percent of applicants were selected for its 2021 to 2022 computer science PhD program. Your acceptance relies on submitting a compelling thesis proposal statement that displays your passion and high academic competency.

How to Get Into the Best Universities

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Best PhDs in Computer Science: In Brief

Best Universities for Computer Science PhDs: Where to Get a PhD in Computer Science

The best universities for computer science PhDs are Arizona State University, Boston University, Harvard University, Duke University, and Carnegie Mellon University. Each of these universities will help you advance your research and eventually get you a job in artificial intelligence , software development, or computing systems. We’ve also broken down the application process and other details for each program.

According to the US News & World Report, Arizona State University ranks number one on the list of the most innovative schools and number 36 in the best undergraduate engineering programs. It was founded in 1885 and currently offers over 450 graduate programs and employs more than 340 PhD fellows. 

PhD in Computer Science 

Arizona State University offers research opportunities in the fields of artificial intelligence, cyber security, big data, or statistical modeling under the umbrella of this computer science program. In this 84-credit program, you’ll tackle your dissertation, prospectus, and oral and written exams. You’ll also take courses on computational processes, information assurance, and network architecture. 

Your PhD dissertation includes 12 credit hours of experience culmination that can be planned alongside your research and elective credits. This degree is best suited for computer scientists wanting to build a career in machine learning or an academic career. 

PhD in Computer Science Overview

• Program Length: 4 to 6 years
• Acceptance Rate: N/A
• Tuition and Fees: $6,007/semester, nine credits or more (in state); $1,663/hour, under 12 credits or $16,328 per semester, 12 credits or more (out of state) 
• PhD Funding Opportunities: Teaching assistantships, research assistantships
• Three letters of recommendations from former professors or employers 
• One to two-page statement of purpose that covers previous research experiences and reasoning behind your interest in one to two doctoral programs
• Optional submission of GRE scores. Preferred scores are 146 verbal, 159 quantitative, and 4.0 analytical writing
• Official transcripts
• Bachelor’s Degree in Computer Science or computer engineering. Applicants with a master’s degree in a relevant field are preferred 
• Minimum 3.5 cumulative GPA

Founded in 1839, Boston University is a top private research university with a reputable engineering and technology program. It offers over 350 graduate programs and PhDs in topics such as neurobiology, biostatistics, computer engineering, mathematical finance, and systems engineering. 

PhD in Computer Science

If you are interested in advancing in research and academia, then this PhD program is worth looking into. Its curriculum trains you to build a successful professional background in the intelligent control systems, cloud infrastructures, and cryptography fields. Candidates need to clear its qualification, dissertation, and milestone requirements to complete this degree. 

• Program Length: 5 to 6 years
• Acceptance Rate: 10%
• Tuition and Fees: $61,924/year
• PhD Funding Opportunities: Computer Science Fellowship, Teaching Excellence Award, Research Excellence Award, Teaching Fellow Expectations 
• GRE scores normally mandatory, but are optional for fall 2022
• A personal statement stating your interest in the program 
• Resume 

Carnegie Mellon University is a globally recognized university with more than 14,500 students and over 109,900 alumni. The school was founded in the year 1900 and offers over 80 majors and minors. According to the US News & World Report, Carnegie Mellon University ranks number one on the best undergraduate computer science program in the country. 

This on-campus PhD program focuses on computing research, software informatics, and communication technologies. Completing this doctoral degree program will open you up to a wide range of career prospects across the data science, computing technology, and information technology research fields. 

This degree includes 24 units of advanced computing research, 72 units of graduate courses, and the dissertation process of an original research thesis. This PhD is apt for those looking to establish their career in research and academia. During this program, you’ll also serve as a teaching assistant in the computer science department twice as per the degree requirement. 

• Acceptance Rate: 5% to 10%
• Tuition and Fees: $75,272/year 
• PhD Funding Opportunities: Internal funding, external funding, dependency allowance, fellowships
• GRE scores optional but encouraged
• Most recent transcript of the university attended
• One to two-page statement of purpose stating your interest in the program, research interests, PhD objective, and relevant experience
• Three letters of recommendation from previous faculty or employers   

Duke University was established in 1924 and counts among the top universities in the world. It has an undergraduate population of 6,789 and a graduate population of 9,991 students and is most recognized for its computer science, biology, public policy, and economics departments. It offers over 80 doctoral and master’s degrees covering STEM, social sciences, and humanities. 

This computer science PhD is definitely worth it for doctorate students looking to embark on an advanced computer science research path. In it, students tackle a research initiation project, preliminary exam, dissertation process, and core qualification credits. Doctoral candidates are also required to partake in the department’s teaching assistantship program. 

Its curriculum includes core courses in computation theory, artificial intelligence, algorithms, numerical analysis, and computer architecture. Graduates of the program open themselves up to numerous career opportunities across a wide range of computing systems academic and research fields. 

• Program Length: 3 to 4 years
• Acceptance Rate: 15.7%
• Tuition and Fees: $70,185/year for the first three years and $18,165/year each subsequent year
• PhD Funding Opportunities: Teaching assistantships, research assistantships, fellowships
• Official transcripts from all attended universities 
• Statement of purpose
• GRE scores are optional for 2022 but recommended 
• No minimum GPA requirements but high GPA scores are preferred

Harvard University is a top Ivy League institution that has amassed global recognition and top rankings in many of its departments. Founded in 1636, the university is home to many excellent programs across the fields of law, medicine, economics, and computer science. It has more than 400,000 alumni and a total enrollment of 35,276 students. 

According to the US News & World Report, Harvard University ranked number one among the best global universities in 2022 . Its graduate schools offer doctorate programs in the applied sciences, biology, literature, environmental sciences, business, and healthcare fields. 

Attending a computer science PhD program at Harvard University brings high credibility and accolades to your professional candidacy. This program is offered by the university’s Graduate School of Arts and Sciences and provides focus opportunities across the engineering science, applied physics, computer science, and applied mathematics areas.  

Similar to most mainstream PhDs, this program requires the completion of 10 semester-long graduate courses, a dissertation topic, oral and written qualifying exams, a teaching assistantship, and a defense process. After graduating, you’ll easily qualify for some of the most prestigious research and career opportunities available.

• Program Length: 3 or more years
• Acceptance Rate: 6%
• Tuition and Fees: $50,928 for the first two years and $13,240 reduced tuition for the third and fourth year
• PhD Funding Opportunities: Teaching fellowships, research assistantships, GSAS fellowships, external funding 
• Supplemental form for PhD
• Transcripts from all post-secondary education 
• Statement of purpose stating your interest in the program  

Oregon State University is a public research university founded in 1868 with over 210,000 alumni. The school is home to more than 28,607 undergraduate and 5,833 graduate students and offers over 300 academic programs as well as a robust research department. Its doctoral programs can be found in the business, agricultural science, education, engineering, or medicine departments. 

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This PhD is offered by the university’s electrical engineering and computer science department and is perfect for doctoral candidates wanting to work in IT research in the governmental or educational sectors. The program offers research opportunities in topics such as data science, cyber security, artificial intelligence, computer graphics, and human-computer interaction. 

The program’s curriculum includes graduate-level courses in theoretical computer science and requires the completion of your research thesis. You’ll also be required to maintain an overall cumulative GPA of 3.0 and pass all preliminary and oral exams to receive your PhD. 

• Program Length: 4 years
• Tuition and Fees: $557/credit (in state); $1,105/credit (out of state)
• PhD Funding Opportunities: Graduate teaching assistantship, research assistantship, Outstanding Scholars Program
• Three letters of recommendation from previous professors or employers familiar with your technical skills 
• Transcripts and academic history of all attended universities 
• Minimum 3.0 GPA in the last two years of your undergraduate or graduate work 
• Statement of objective listing your interest in the program, career goals, research interests, and relevant experience

Syracuse University is a private institution that was established in 1870 and is most popular for its research and professional training academic programs. It has more than 40 research centers focusing on the STEM, social sciences, and humanities fields. The university has over 400 majors, minors, and advanced degrees its students can choose from. 

It had a total enrollment of 14,479 undergraduate students and 6,193 graduate students in the fall of 2020. Prospective students can pick a PhD focus from many of its applied topics, including data science, statistics, human development, and bioengineering. 

PhD in Computer and Information Science and Engineering

A PhD focused in computer and information science and engineering from Syracuse University can help you advance your career in the information technology, software engineering, or information assurance fields. This program is best suited for computing technology research buffs looking to land senior-level positions in the field. 

The program’s curriculum is an amalgamation of graduate coursework, your dissertation and research presentation, and exams. Your coursework will cover technical topics ranging from algorithms and artificial intelligence to operating systems and hardware systems. 

PhD in Computer and Information Science and Engineering Overview

• Program Length: 4 to 5 years
• Acceptance Rate: 14.28%
• Tuition and Fees: $32,110/year 
• PhD Funding Opportunities: Research assistantships, departmental teaching assistantships, university fellowships

PhD in Computer and Information Science and Engineering Admission Requirements

• Minimum GRE scores: Verbal 153, Quantitative 155, and analytical writing 4.5 
• Bachelor of Science or Master of Science in computer engineering, electrical engineering, or computer and information science
• Two or more letters of recommendation from previous faculty or employers 
• Official transcripts of all attended universities 
• 500-word personal statement concerning your interest in the program

The University of Oklahoma is a public school best known for its business, journalism, and petroleum engineering programs. Founded in 1890, it currently has an undergraduate student population of 21,844 and offers over 170 academic programs and graduate degrees in a wide range of subject areas. 

The school’s doctoral topics are numerous and can be found within its business, architecture, fine arts, education, engineering, journalism, or geographics science departments. The University of Oklahoma is also incredibly well known for its athletic programs, having won many national championships.

The university’s computer science PhD has courses in machine learning, data science, computer security, visual analytics, database management, and neural networking subjects. If you’re interested in a data science, network security, artificial intelligence, or cyber security career, then this PhD is for you.

The program allows you to propose a research topic covering anything in the field of advanced computing systems and theories. During your program, you’ll undergo an annual research progress review along with general examinations until your defense. The program also requires you to submit a minimum of two publications before you complete your degree. 

• Program Length: 6 years
• Tuition and Fees: $591.90/credit (in state); $1,219.50/credit (out of state)
• PhD Funding Opportunities: Graduate assistantships, research assistantships, fellowships, scholarships, research grants
• Prerequisite coursework covering computer science, data structures, and math subjects 
• Bachelor’s degree or master’s degree
• Minimum cumulative 3.0 GPA 
• 250-word statement of purpose concerning your interest and goals in the program 
• Three letters of recommendation, with two of them preferably from previous professors

The University of Arizona was founded in 1885 and is a public research institution with over 300 major programs. The school is home to 36,503 undergraduate and 10,429 graduate students and offers PhD programs in over 150 areas of study, including information science, statistics, mechanical engineering, biomedical science, medicine, communication, and economics. 

If you want to become an applications architect or pursue a career in academia focusing on computing or business intelligence technologies, then this PhD is for you. It offers courses in computer networking, system architecture, database systems, machine learning theory, natural processing language, and computer vision. 

The program’s curriculum requires the completion of 12 units of advanced computer science research and 18 units of dissertation presentation and defense. You’ll also need to maintain a minimum cumulative GPA of 3.33 to receive your PhD. 

• Program Length: 5.5 years
• Acceptance Rate: 17.73%
• Tuition and Fees: $989.12/unit (in state); $1,918.12/unit (out of state)
• PhD Funding Opportunities: Graduate assistantships, graduate associate fund, teaching assistantships, research assistantships, graduate college fellowship
• Official transcripts from all attended universities
• Minimum of two letters of recommendation by previous faculty or employers 
• A statement of purpose stating your interest in the school and the program faculty, your career goals, preferred research areas, and research background
• Resume detailing previous research work, published papers, conference presentations, and computer science background 
• Bachelor’s degree in computer science or a related field 
• A background in operating systems, programming languages, discrete mathematics, data structures, and theory of computation 
• Minimum 3.5 undergraduate GPA and 3.7 graduate GPA 

The University of Maryland is a research-focused institution that was founded in 1856. It hosts more than 41,200 students and offers over 217 undergraduate and master’s programs. It also offers 84 doctoral programs and has an extensive research department. According to the US News & World Report, the school ranks number 20 among the top public schools in the country .

This PhD program offers research opportunities in subjects such as robotics, big data, scientific computing, machine learning, geographic information systems, and quantum computing. Doctoral students can participate in a collaborative research journey at any of the school’s research specialized institutions. The program curriculum includes graduate coursework, a research proposal, and a dissertation defense. 

• Tuition and Fees: $11,586/year (in state); $24,718/year (out of state) 2022-2023
• PhD Funding Opportunities:  Research assistantships, departmental teaching assistantships, National Science Foundation Graduate Fellowships, Fulbright Fellowships
• Transcripts from all attended universities
• Writing sample and optional publications or presentations 
• Statement of purpose concerning your interests in the field and program 
• Three letters of recommendation 

Can You Get a PhD in Computer Science Online?

Yes, you can get a PhD in Computer Science online. An online doctoral degree will be more course-based instead of research-based due to the lack of laboratory facilities. Computer science is a broad field that offers doctoral opportunities across a wide range of tech topics. You can get an online PhD in information science, data science, data analytics, or information systems.

Know that online PhDs are rare across most fields, including computer science. Obtaining a non-research-focused doctoral degree won’t be as respected as a traditional computer science PhD. The online PhD programs listed below are best suited for candidates looking to advance into managerial, theoretical research, and academic positions in the technology sector.

Best Online PhD Programs in Computer Science

How Long Does It Take to Get a PhD in Computer Science?

It takes an average of four years to get a PhD in Computer Science. However, the actual duration is entirely dependent on the candidate’s research proposal approval and defense success, and depending on your research pace, it can take up to five or six years to complete. The graduate course portion of your degree is the most straightforward and typically takes around 2.5 years to complete.

Your dissertation topic selection, research journey, publication submissions, and defense presentations will take the most amount of time, usually between three to five years. Some universities also require their PhD students to complete a minimum of two years of graduate teaching assistantship. An online PhD in Computer Science usually only takes three years to finish, as it mostly includes advanced coursework.

Is a PhD in Computer Science Hard?

Yes, a PhD in Computer Science is hard. Computer science is a complex field that incorporates an array of advanced technical topics. Your PhD will require you to submit an original research proposal on an advanced information technology subject such as data science, machine learning, quantum computing, artificial intelligence, and network security topics.

Along with advanced research and a dissertation, you’ll also need to complete advanced graduate courses with a minimum GPA of 3.0. Other requirements often include submitting one or more publications, working in graduate teaching positions, and successfully defending your thesis topic. The combination of all of these academic requirements makes getting a PhD in Computer Science a hard process.

How Much Does It Cost to Get a PhD in Computer Science?

It costs $19,314 per year to get a PhD in Computer Science, according to the National Center for Education Statistics (NCES). However, your total PhD tuition can vary depending on a number of factors, including the university’s ranking, the program’s timeline, and the PhD funding opportunities you’ll have available.

The NCES further categorizes the graduate program tuition according to the institution type and reports that the average fee for public institutions was $12,171 from 2018 to 2019. It also states that private for-profit institutions charged an average of $27,776, and non-profit schools charged $14,208 those same years.

How to Pay for a PhD in Computer Science: PhD Funding Options

The PhD funding options that students can use to pay for a PhD in Computer Science include graduate research assistantships, teaching assistantships, and fellowship opportunities. Your funding options will vary from school to school and can include both external and internal funding.

Some of the popular ways to fund your PhDs include research grants, federal work-study programs, teaching or graduate assistantships, tuition waivers, and graduate research fellowships. You can also apply for scholarships or tuition reimbursement options at your current job. Your graduate advisor and computer science faculty can help you find more funding options.

Best Online Master’s Degrees

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What Is the Difference Between a Computer Science Master’s Degree and PhD?

The difference between a computer science master’s degree and a PhD is the level of each degree. A Master’s Degree in Computer Science is a typical precursor to a PhD and covers the technical field less extensively than a doctoral program. It will last around two to three years and can be fully course-based or thesis-based.

A PhD in Computer Science provides you with higher qualifications and more research and dissertation autonomy. It can last anywhere between four to six years and gives you original publication and research credibility. Both of these computer science degrees are considered graduate degrees, but a PhD provides you with a higher educational accolade.

Master’s vs PhD in Computer Science Job Outlook

The job outlook for a professional with a master’s vs PhD in Computer Science will generally coincide as most senior-level careers can be achieved with a master’s degree. According to the US Bureau of Labor Statistics (BLS), the job outlook for computer and information research scientists is projected to grow by 22 percent between 2020 and 2030.

This job typically requires a master’s degree meaning PhD holders also qualify and can apply for it. The commonality of these job growth statistics also applies to other tech positions, including information security scientists and network architects. That being said, the specific growth rate of your job will also vary depending on your career choice.

For example, university computer science professor positions, which typically only computer science PhD holders are eligible for, have a projected growth rate of 12 percent between 2020 and 2030, according to the BLS. With computer science professionals being high in demand, most PhD in Computer Science jobs have a positive projected growth rate.

Difference in Salary for Computer Science Master’s vs PhD

The difference in salary for computer science master’s vs PhD grads can vary depending on their position and place of employment. According to PayScale, the average salary for a computer science PhD holder is $131,000 per year , which is higher than the average salary of a master’s degree graduate.

According to PayScale, the average salary for a computer science master’s graduate is $105,000 per year . The salary disparity with these degrees stems from the differences in their level of seniority, industry experience, and educational accolades.

Related Computer Science Degrees

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Why You Should Get a PhD in Computer Science

You should get a PhD in Computer Science because it is an advanced and highly reputable degree that will help you land senior technical, academic, and research roles. A PhD is a gateway to a lucrative and innovative technology career, allowing you to follow your research passion across the fields of artificial intelligence, data science, or computing theory.

Reasons for Getting a PhD in Computer Science

• Extensive and advanced research opportunities. A PhD in Computer Science covers many advanced computing science fields. You can learn specialized skills through your research opportunities and eventually work in advanced data science, artificial intelligence, neural networking, information technology, or computing theory.
• Higher salary. PhD graduates qualify for career opportunities working in senior positions as scientists, professors, managers, or heads of departments. These senior positions come with high compensation and job security.
• Rewarding education. A computer science PhD is perfect for those who are interested in contributing toward leading innovation and technology research. As a doctoral student, you can propose and conduct advanced research in the field while contributing to today’s technological growth.
• Increased job candidacy. Having a computer science PhD on your resume and portfolio will enhance your candidacy when applying to tech positions across all industries. A PhD is a highly reputable degree that demonstrates your expertise in the field and ultimately makes you a highly sought-after candidate.

Getting a PhD in Computer Science: Computer Science PhD Coursework

The graduate requirements for getting a PhD in Computer Science and most common PhD coursework are different from program to program and are heavily dependent on your specialization, but often have some commonalities. Here are some examples of courses you may take during your PhD.

System Architecture

A systems architecture course in a computer science PhD covers advanced operating systems, communication technologies, network security, and computer architecture. You’ll also take classes covering topics like network systems and software engineering.

Artificial Intelligence

Artificial intelligence is a rapidly growing field that is integral to the field of computer science and data science. Your program will cover the latest artificial intelligence technologies and research areas such as deep learning, interactive systems, neural networking, and artificial intelligence infrastructure.

Information Assurance

Network security, information assurance, and cyber security are also part of an extensive education coverage of the computer science field. This course will cover vital knowledge concerning information security, system integrity, data privacy, and system authentication.

Data science courses in a computer science PhD program cover topics such as big data, database management, data analytics, data mining, and machine learning subjects. You will learn about data science processes and methods as well as the tools and technologies used in advanced data engineering.

Theory of Computation

A theory of computation course will teach you advanced algorithms, computation models, Turing machines, quantum computing, and automata theories. You’ll also have lessons that cover the Godel Incompleteness theorem and molecular computing.

Best Master’s Degrees

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How to Get a PhD in Computer Science: Doctoral Program Requirements

If you are wondering how to get a PhD in Computer Science and complete the doctoral program requirements, this section will provide you with the answers you’re looking for. The graduation and academic requirements will vary from one PhD program to another, but there are some common requirements across all computer science departments. Here are some of them.

A computer science PhD is an amalgamation of graduate-level courses and research. All PhDs will require you to complete their graduate course requirements which cover topics like data science, computing systems, artificial intelligence, and information assurance. The required number of courses will vary depending on the program but is typically between 10 and 15. 

Maintaining a minimum required cumulative GPA in your courses is a requirement across all PhD programs. The GPA requirement can range anywhere from 3.0 to 3.5. This is one of the major ways your program department tracks your progress and whether or not you are struggling with the work.

Clearing the qualifying exams with a passing grade while maintaining the required GPA is another PhD graduation requirement. Your preliminary exam is a public presentation discussing your research topics with approval committees and other students. Written exams and oral exams come with each course and are a test of your computer science and tech abilities.  

You are typically required to present your research proposal or research initiation project within the first two years of your PhD. You must get your research idea approved by the approval committee and begin the research process within those two years. 

Once you embark on your computer science research process, you are required to present an annual progress report. This presentation is a review process where the approval committee will ask questions and provide feedback on your progression.  

Your PhD milestones may also include publication requirements. For these, you’ll be required to submit one or two peer-reviewed journal or publication entries covering the computer science topics you are researching. 

Universities also require PhD candidates to complete two years of graduate teaching assistantships or research assistantships. These assistantships are one of the best ways to secure funding for your PhD program. 

Getting your dissertation approved and completing your research and thesis is one of the most important milestones of your PhD. Your assigned research committee, thesis advisor, and approval committee will need to approve your research and dissertation for your to be able to graduate. 

Computer science PhDs will have a timeline breakdown that candidates are expected to meet. You will typically need to complete the graduate coursework within two to three years and complete your dissertation and thesis within six years. You can request a timeline extension with your advisor’s approval.

The thesis for your PhD in Computer Science will cover your chosen research subject area. It will include a thesis proposal submission, thesis presentation, and thesis approval process as well as an extensive written document covering your hypothesis, findings, and conclusions. 

Potential Careers With a Computer Science Degree

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PhD in Computer Science Salary and Job Outlook

The salary and job outlook for a PhD in Computer Science will vary according to your job designation but are generally positive. The average salary for some of the highest-paid jobs will range between $86,712 and $179,351. Below are some of the most lucrative career paths a computer science PhD holder can embark on.

What Can You Do With a PhD in Computer Science?

You can work in a wide range of advanced technical positions with a PhD in Computer Science. This doctoral degree qualifies you for positions as a manager, scientist, college professor, and researcher. You could lead an information assurance department or become a computer science professor, chief data scientist, or artificial intelligence researcher.

Best Jobs with a PhD in Computer Science

• Computer Research Scientist
• Computer Science Professor
• Research and Development Lead
• Computer Systems Engineer
• Information Technology Manager

What Is the Average Salary for a PhD in Computer Science?

The average salary for someone with a PhD in Computer Science is $131,000 per year , according to PayScale. Your actual salary will vary depending on your specific position, location, and experience. In fact, with a PhD, you could work as a chief data scientist and make between $136,000 and $272,000 or as a senior software engineer and make $104,000 to $195,000.

Highest-Paying Computer Science Jobs for PhD Grads

Best Computer Science Jobs with a Doctorate

The best computer science jobs with a doctorate degree all earn a high salary and have high projected growth in the next few years. These jobs cover a wide range of computer science disciplines, meaning that you’ll easily be able to find a position doing something you enjoy.

A chief data scientist is in charge of the data analytics and data science departments of an organization. They are responsible for the approval of new database system designs, data strategies, and data management decisions. 

• Salary with a Computer Science PhD: $179,351
• Job Outlook: 22% job growth from 2020 to 2030
• Number of Jobs: 33,000
• Highest-Paying States: Oregon, Arizona, Texas, Massachusetts, Washington

A chief information officer is an IT executive responsible for managing and overseeing the computer and information technology departments of a company. Also known as CTOs, they are responsible for delegating tasks and approving innovation and technology upgrade ideas proposed by their teams. 

• Salary with a Computer Science PhD: $168,680
• Job Outlook: 11% job growth from 2020 to 2030
• Number of Jobs: 482,000
• Highest-Paying States: New York, California, New Jersey, Washington, District of Columbia

A senior computer scientist heads the research department of a computer science, artificial intelligence, or computer engineering field. These professionals, along with their research team, are tasked with developing efficient and optimal computer solutions across a wide range of sectors. 

• Salary with a Computer Science PhD: $153,972

An IT security architect is a cyber and information security professional responsible for developing, maintaining, and upgrading the IT and network security infrastructure of a business or organization. Additionally, they oversee an organization’s data, communication systems, and software systems security aspects. 

• Salary with a Computer Science PhD: $128,414
• Job Outlook : 5% job growth from 2020 to 2030
• Number of Jobs: 165,200
• Highest-Paying States: New Jersey, Rhode Island, Delaware, Virginia, Marlyand

A computer science professor is a university professor who educates college students concerning basic and advanced computer science subjects. They are responsible for creating and instructing a course curriculum as well as testing their students. Some computer science professors also work as research faculty at a university. 

• Salary with a Computer Science PhD: $86,712
• Job Outlook: 12% job growth from 2020 to 2030
• Number of Jobs: 1,276,900 
• Highest-Paying States: California, Oregon, District of Columbia, New York, Massachusetts

Is a PhD in Computer Science Worth It?

Yes, a PhD in Computer Science is worth it for anyone wanting to work in senior professions in the field of technology. This doctoral degree opens its recipients up to numerous career opportunities across academia, research and development, technology management, and chief technical positions.

Getting a computer science PhD equips you with specialized skills and extensive research capabilities. During your studies, you’ll get the opportunity to contribute to the rapidly developing world of technology with your original dissertation and specialize in data science, network security, or computing systems.

Additional Reading About Computer Science

[query_class_embed] https://careerkarma.com/blog/what-is-computer-science/ https://careerkarma.com/blog/is-computer-science-hard/ https://careerkarma.com/blog/computer-science-career-paths/

PhD in Computer Science FAQ

The preferred GPA for a computer science PhD is 3.5 or above. Keep in mind that meeting the minimum requirement doesn’t guarantee acceptance. The higher you can get your GPA during your bachelor’s and master’s, the more likely it is you will be accepted to the PhD program of your choice.

The standardized exam you need to take to get a PhD in Computer Science is the Graduate Record Examination (GRE). The GRE score requirements will vary from university to university and several schools have currently waived GRE requirements due to the coronavirus pandemic.

You can choose from a wide range of potential research subjects for your computer science PhD, including computer algorithms, data science, artificial intelligence , or cyber security. You can also research business process modeling, robotics, quantum computing, machine learning, or other big data topics.

You can get into a computer science PhD program by impressing the admissions committee and the school’s computer science graduate department with your skills, experience, grades, and desired research topic. Students with a 3.5 or higher GPA, a high GRE score, extensive IT skills, and an impressive research topic have a higher chance of admission.

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Computer Science PhD

On this page:.

• Introduction
• 1 Research process
• 2 What is this career path?
• 3.1 You learn cutting edge research skills
• 3.2 Potential for large impact from research
• 3.3 Other benefits
• 4 Reasons not to do a computer science PhD
• 5 Entry requirements
• 6.1 Want to use a CS PhD to make the world a better place? We want to help.

A computer science PhD offers the chance to become a leading researcher in a highly important field with potential for transformational research. Especially consider it if you want to enter computer science academia or do high-level research in industry and expect to be among the top 30% of PhD candidates.

Most people qualified to do a computer science PhD should seriously consider doing a PhD focussed on Machine Learning, which we cover in another profile .

• • Potential for large impact from your research.
• • Opportunity to become an expert in AI.
• • Freedom to pursue research topics that most interest you.
• • Very smart colleagues.
• • Helps you enter technical jobs in industry, providing a backup to academia (though if industry is your aim, it's probably better to enter directly)
• • Less than 10% end up with tenure-track jobs.
• • Takes a long time (5-7 years), with relatively low pay.
• • Doing highly open-ended research provides little feedback which can be unmotivating.
• • About half of those who enter industry afterwards don't end up with research positions.

Key facts on fit  

If you are interested, try out doing computer science research by doing a dissertation as an undergraduate or taking up research assistant jobs in a professor’s lab. Then read this advice on how to get in.

Sometimes recommended

We recommend this career if it is a better fit for you than our other recommended careers.

Review status

Based on a shallow investigation 

Table of Contents

Research process

For this profile, we read eight blogs by computer scientists on whether to do the PhD and reviewed the Taulbee survey ( the full list ). See all the other research we did in our wiki .

What is this career path?

In this profile we focus on doing a Computer Science PhD in the US, which usually takes 5-7 years. There is relatively low emphasis on taking classes – typically you only take classes when they are relevant to your research, and these can be in disciplines outside of computer science, including statistics, operations research, maths, psychology and linguistics. 1 The PhD is heavily research focused – by the end you write a dissertation which is a long and in depth exploration on a topic that you become an expert on.

Why do a computer science PhD?

You learn cutting edge research skills.

The most commonly cited advantage of a computer science PhD is that you learn highly advanced research skills:

• You learn the skill of choosing promising areas of research that are at the edges of a field: “Doing a PhD will force you to cast away from shore and explore the boundary of human knowledge. There’s a real trick to picking good problems, and developing a taste for it is a key skill if you want to become a technical leader.” 2
• You become fluent in both written and verbal technical communication: “I’ve noticed a big gap between the software engineers I’ve worked with who have PhDs and those who don’t in this regard. PhD-trained folks tend to give clear, well-organized talks and know how to write up their work and visualize the result of experiments. As a result they can be much more influential.” 3 This is a skill that’s important for entering data science .
• You learn to run experiments and interpret the results and get every aspect of your methodology closely critiqued.
• You learn how to read and critique research papers.

Potential for large impact from research

• During your PhD you get to work on the hardest problems at the edge of human knowledge, in a field with a strong track record of transformational research , in spite of its short history as an academic discipline. “PhD research is about opening up new avenues of enquiry, and working on problems that the rest of the world hasn’t even articulated yet. If you do it right, you can have tremendous impact.” 4 A computer science PhD opens up the potential to carry on with this research in academia or in industry.
• You have lots of freedom over what research topics to work on during your PhD (though if you want to continue to academia, you’ll need to initially focus on the topics that will most aid your career). 5
• Artificial Intelligence is one of the most important trends of the next century and is currently the most popular area of specialisation among computer science PhD’s. 6 We think it’s especially important that more people work on making sure the development of AI is done safely, and there’s increasing funding available for researchers with this aim, making it a promising area to enter . A computer science PhD opens up jobs focused on AI safety in industry (for example at DeepMind ), non-profits such as the Machine Intelligence Research Institute , and academia. If you want to work on this research, see our full review of the area .

Other benefits

• You often become the leading world expert on the area of your dissertation.
• You gain a much deeper understanding of complex computer science topics, which can help with reaching technical leadership positions in industry, which are in-demand and well-paid. 7 People with PhD’s also frequently get more freedom in their subsequent jobs than those with bachelor’s or master’s degrees. 5
• Highly intelligent peers, and close mentorship and feedback from some of the smartest people on earth.
• PhD level research can be extremely satisfying. You can discover previously completely unknown knowledge, you gain deep understanding of your area and you get to prioritise accuracy and truth over functionality and speed much more than you do in industry. 8
• It is generally easier to move from a computer science PhD into industry than it is to move from industry into a PhD. 9

Reasons not to do a computer science PhD

• It takes a long time: “Nobody finishes in four years. The typical time to completion is around five or six years, but there is a long tail — I reserve the term “paleo-student” for someone who has been at it more than 10 years.” 10
• You don’t get wide exposure to different career areas during this time – you only learn about academic computer science.
• Currently only around 30% of computer science PhDs get jobs in academia, with less than 10% getting tenure track positions. 11 To get a tenure-track position it is increasingly necessary to do one or more post-docs first, meaning you face even more time with relatively low pay. 12
• Currently only around 55-65% of those who get jobs in industry after their PhD get research positions (suggesting it may have been better for them to enter industry directly). 13 Overall, only around half of computer science PhD’s get research positions immediately after their PhD’s whether this is in academia or in industry. 14
• The PhD is extremely unstructured – you do highly open-ended research with no clear guidelines on progress or how to organise your time. “Research can be very rewarding and very frustrating. Most students describe graduate school as a roller-coaster with tremendous highs and tremendous lows.” 15
• The pay is not that high – median stipends range from $17,000 to $29,000. 16

Entry requirements

You need an undergraduate degree in computer science or a closely related field like engineering, maths or physics (or another major as long as you took a lot of CS classes). A master in computer science can help you enter if your major wasn’t in computer science and you haven’t taken many CS classes. 17

You also typically need:

• Previous research experience
• Excellent letters of recommendation from researchers who can comment on your research ability
• A high GPA (3.5-4.0) in computer science and maths classes and quantitative reasoning GRE scores over 650. 18

Who should most strongly consider a computer science PhD?

You should only consider a computer science PhD if you are incredibly motivated to do high-level computer science research. All the advice we read was emphatic on this point. Here is a representative quote:

The only reason to do a PhD is because you love doing research. If you don’t love research, don’t bother — it is not worth the time, money (in terms of opportunity cost vs. making a real salary in industry), or stress. 19

To get a sense of what academic research in computer science is like, try reading published papers (see for example this paper and this paper ).

Given that only 10% end up with tenure track positions and of those that enter industry immediately after the PhD only 50% end up with research positions, it’s unclear whether the PhD is worth the considerable costs for the bottom 50% or so of candidates.

Overall, especially consider a computer science PhD if:

• You meet the entry requirements.
• You’re highly motivated to do computer science research.
• You expect to be among the top 30% of PhD candidates.
• You want to go into computer science academia or do high-level research in industry, especially if you want to work on artificial intelligence .

Want to use a CS PhD to make the world a better place? We want to help.

We’ve coached dozens of people entering a CS PhD, and can often put you in touch with relevant experts for more guidance, particularly in AI/ML.

Get in touch

Notes and references

• “In contrast, a Ph.D. program typically requires typically less than 10 courses during the entire 6 years (at CMU there are 5 required “core” courses, and 3 required “electives”). The emphasis in the Ph.D. is not on classes, but rather on research. A Ph.D. student will typically take classes only when she feels that they will be useful in her research. The classes she takes may not even be in CS at all. They may be in Statistics, Operations Research, Math, Psychology, Linguistics, or anything else useful for her particular research topic.” Applying to Ph.D. Programs in Computer Science – Carnegie Mellon University ↩
• Matt Welsh – Do you need a PhD? ↩
• Matt Welsh – So, you want to go to grad school? ↩
• “Once you have a PhD — and even during the process of getting one — you are able to be your own boss. Rather than working on someone else’s vision, you are the one to define the vision. This is especially true if you pursue an academic career after grad school, but is also the case in many industrial research labs. Typically, people with Bachelor’s and Master’s degrees aren’t afforded so much freedom.” Matt Welsh – So, you want to go to grad school? ↩
• “Artificial intelligence, networking, software engineering and databases, in that order, continue to be the most popular areas of specialization for doctoral graduates.” Computing Research Associating 2014 Taulbee Survey ↩
• “I do think that doing a PhD is useful for software engineers, especially those that are inclined to be technical leaders. There are many things you can only learn “on the job,” but doing a PhD, and having to build your own compiler, or design a new operating system, or prove a complex distributed algorithm from scratch is going to give you a much deeper understanding of complex Computer Science topics than following coding examples on StackOverflow.” Matt Welsh – Do you need a PhD? ↩
• “For all the frustrations, research can be extremely joyous. For some people, the joy of research is the joy of discovering something new that no one knew about. You might be discovering a new algorithm, a new operating system design idea, a new idea for maximizing the performance of disk arrays, etc.. For others, there’s the joy of truly understanding. You’ve probably noticed that in classes a professor or book will stop just when things are getting really interesting and say, “the rest is beyond the scope of this class.” In research, you can take a problem as far as you want and understand everything about it. For many, the joy of research comes from being able to make an impact – to change the way systems are built and design them in a smarter way. There’s also the joy of doing it right. In a company, the aim is to get a working product and ship it out quickly. In research, you can take your time and plan out your project so that you are proud to defend every one of your design decisions. Research is not about simple heuristics or quick hacks. Many people also relish the joy of being the authority on an area and of having their work read and cited by others.” Applying to Ph.D. Programs in Computer Science – Carnegie Mellon University ↩
• “In my experience, it is quite rare to make the jump from industry to grad school. First off, industry pays so much better than the PhD student stipend that it is quite hard to make this transition. Also, to get into a top PhD program, you need good letters from CS professors, and letters from industry don’t really count. After you’ve been gone for a couple of years it’s hard to get those stellar letters from the professors that may have loved you back when you were in college; newer, brighter, more energetic students have taken your place and you are long forgotten (although maybe Facebook will change all that). Industry experience rarely helps a graduate application, especially if you’re some low-level engineer at a big company writing tests all day.” Matt Welsh – So, you want to go to grad school? ↩
• “Only 27.3 percent of 2013-14 graduates took North American academic jobs, an all-time low since we began tracking this in 1989-90. The fraction taking tenure-track positions in North American doctoral granting computing departments held fairly steady at 7.6 percent for 2013-14 graduates. The fraction taking positions in North American non-Ph.D.-granting computing departments dropped from 2.1 percent to 1.9 percent. The fraction taking North American academic postdoctoral positions dropped from 14.9 percent to 11.6 percent” “The proportion of Ph.D. graduates who were reported taking positions outside of North America, among those whose employment is known, rose to 9.4 percent from 8.2 percent for 2012-13 graduates. About 37 percent of those employed outside of North America went to industry (slightly higher than reported last year), about 26 percent went to tenure-track academic positions (about the same as reported last year) and almost 20 percent went to academic postdoctoral positions (a higher rate than reported last year).” Computing Research Associating 2014 Taulbee Survey ↩
• “Tenure-track positions are increasingly requiring candidates to do one or more postdocs: This trend has been documented by Anita Jones in the article The Explosive Growth of Postdocs in Computer Science (ACM Digital Library subscription required). Since 2007, hiring of Ph.D.’s in academia is increasingly dominated by postdoc positions rather than tenure-track positions. The requirements for a tenure-track position appear to have been redefined to make one or more postdocs nearly mandatory. This has been the case in other disciplines for a long time, but it is relatively new for Computer Science. This delays a Ph.D.’s career and forces people who want to become professors to endure several more years of low pay and status.” Ronald T. Azuma – So long, and thanks for the Ph.D.! ↩
• “Among those doctoral graduates who went to North American industry and for whom the type of industry position was known, about 56 percent took research positions. This is down from the 64 percent reported last year.” “Of the doctoral graduates who went to non-North American industry positions, the positions were research by a three-to-one margin over those that were not research, the same ratio reported last year” Computing Research Associating 2014 Taulbee Survey ↩
• Table D4a. Detail of Industry Employment. Computing Research Associating 2014 Taulbee Survey ↩
• Applying to Ph.D. Programs in Computer Science – Carnegie Mellon University ↩
• Table G2. Fall 2014 Academic-Year Graduate Stipends by Department Type and Support Type. Computing Research Associating 2014 Taulbee Survey ↩
• “The only cases I recommend doing a Masters are for students that aren’t quite prepared to get into a top-ranked PhD program, for example, because their undergrad major is in something other than CS. (Note that if your undergrad major is in an area closely aligned with CS, such as engineering, math, or physics, or you took a lot of CS classes despite majoring in something else, you probably don’t need a Master’s.)” Matt Welsh – So, you want to go to grad school? ↩
• Applying to Ph.D. Programs in Computer Science – Carnegie Mellon University and Matt Welsh – Tips on Getting into Grad School ↩

Doctoral Program

The primary focus of the doctoral program is research, with the philosophy that students learn best by doing—beginning as apprentices and becoming junior colleagues working with faculty on scholarly research projects. The faculty in the department conduct research in all areas of computer science. The doctoral degree requires a dissertation based on the candidate’s original research, which is supervised by a faculty member, and all students in the doctioral program are actively engaged in research throughout the program.

The PhD is the Computer Science Department’s primary doctoral program.  PhD students are expected to be full-time on-campus during every fall and spring academic semester from initial enrollment until the dissertation has been distributed to their defense committee, except during leaves of absence approved by the university.  PhD students spend at least half of their time on research under the direction of their faculty adviser from their first day in the program and devote themselves full time to research after coursework and other preliminaries have been completed. PhD students are also expected to participate in departmental and laboratory activities full time throughout the program, except possibly for summer internships elsewhere, and the department does not consider admission of part-time PhD students. The policy on outside activities by PhD students is here .

DEPARTMENTAL INFORMATION FOR DOCTORAL STUDENTS

• Program Requirements
• MS leading to PhD
• Milestones Chart
• Milestones Registration Form: Candidacy, Thesis Proposal, Thesis Defense
• Doctoral Course Import Forms
• Doctoral Algorithms Prerequisite Form
• Data Science Specialization Option  (further details here )

SCHOOL/UNIVERSITY INFORMATION FOR DOCTORAL STUDENTS

• Registration
• SEAS Doctoral Fieldwork (CPT) Policy
• Time-Off Policy for Doctoral Students on Appointment in the Sciences and Related Research Fields

GENERAL DOCTORAL INFORMATION AND ADVICE

• CAREER Club
• Computer Science Open Data
• Computer Science Graduate Job and Interview Guide
• Background in case you ever need to teach online with two days notice
• The Definitive ‘what do I ask/look for’ in a PhD Advisor Guide
• The Thesis Whisperer
• Prem Devanbu’s Review Anti-Patterns
• Computer Science Rankings
• Michael Ernst’s Compilation of Great Advice
• Productivity Tips for PhD Students
• Getting Admitted to a Top PhD Program
• Tips on the Interview Process
• Networking on the network
• Advice on research and writing
• More advice on writing
• Corporate Lab or Academic Department, Which Fits?
• How To Survive A Thesis Defense
• 10 easy ways to fail a PhD
• Dealing with plagiarism
• Academic job site
• Computing Research Association
• IEEE Computer Society

(link suggestions appreciated; send email to [email protected] )

Last updated on July 11, 2024.

Find open faculty positions here .

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In the news, press mentions, dean boyce's statement on amicus brief filed by president bollinger.

President Bollinger announced that Columbia University along with many other academic institutions (sixteen, including all Ivy League universities) filed an amicus brief in the U.S. District Court for the Eastern District of New York challenging the Executive Order regarding immigrants from seven designated countries and refugees. Among other things, the brief asserts that “safety and security concerns can be addressed in a manner that is consistent with the values America has always stood for, including the free flow of ideas and people across borders and the welcoming of immigrants to our universities.”

This recent action provides a moment for us to collectively reflect on our community within Columbia Engineering and the importance of our commitment to maintaining an open and welcoming community for all students, faculty, researchers and administrative staff. As a School of Engineering and Applied Science, we are fortunate to attract students and faculty from diverse backgrounds, from across the country, and from around the world. It is a great benefit to be able to gather engineers and scientists of so many different perspectives and talents – all with a commitment to learning, a focus on pushing the frontiers of knowledge and discovery, and with a passion for translating our work to impact humanity.

I am proud of our community, and wish to take this opportunity to reinforce our collective commitment to maintaining an open and collegial environment. We are fortunate to have the privilege to learn from one another, and to study, work, and live together in such a dynamic and vibrant place as Columbia.

Mary C. Boyce Dean of Engineering Morris A. and Alma Schapiro Professor

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Home > Blog > Academic Degrees > Computer Science News > Why Get a PhD in Computer Science? Your Questions Answered

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Why Get a PhD in Computer Science? Your Questions Answered

Updated: June 19, 2024

Published: August 24, 2019

Computer Science is an ever evolving and massively expanding field of study as technology continues to innovate and data grows exponentially. For those highly interested in research, earning your PhD in Computer Science can offer you top level accessibility to become an expert in the field and pursue either a high-level career within the industry or work in academia.

Most people who have completed the doctorate degree advise doing so only if you really love the subject and research. Earning your PhD in Computer Science has many benefits, although there is no doubt that it’s challenging.

Although a doctorate degree is not required to work in the field, it offers other benefits like allowing you to research cutting-edge technology with adequate funding. As with any graduate degree, it takes both time and money to complete, so before deciding to enroll, let’s go more in depth and answer some questions about why you would want to get a PhD in Computer Science.

Source: Unsplash

What is a phd in computer science.

A PhD in Computer Science is the highest level doctorate degree you can earn. Once you finish your undergraduate degree in Computer Science or a related field like Engineering or Applied Mathematics, you can apply for your doctorate degree .

If you didn’t major in Computer Science, then earning your Master’s degree in the subject will help you on your journey for your doctorate degree. Although it is not required to apply for a PhD, having your Master’s degree first is generally preferable.

Most programs require the following, along with a degree, to apply for a PhD:

• Previous research experience
• Letters of recommendation
• A high GPA (about 3.5-4.0)

Program Length

Earning your PhD in Computer Science is not for the faint of heart as it requires a lot of time, energy and perseverance. Although the length of completion depends on your enrollment status of full or part-time, it typically takes 5-6 years to finish.

Opportunities and Challenges

As the top academic achievement within the field, a PhD exposes students to high-level information, as well as some of the hardest challenges facing the world and technology. A PhD grants students the opportunity to perform the research of their choice and explore the topic that interest them the most.

Upon graduation, a PhD student can continue with academia or enter the industry. However, if you want to enter the field as a Computer Programmer, Software Developer or the like, you don’t have to earn a degree at this level as a Bachelor’s degree will suffice. In fact, some jobs may consider a PhD candidate to be too highly qualified, so you’ll want to assess your future goals before enrolling in a PhD program.

One of the benefits of earning this doctorate degree is the freedom you have. Most programs are quite unstructured, meaning that you get to choose what you want to research. Therefore, you can be a leading expert in the field and help to shape policies around artificial intelligence, automation and technologies that are changing the way the world functions.

The deep and rich education can expand your horizons and help you understand ideas and topics that you would never have otherwise considered.

Potential Jobs

Although it is possible to enter the field of Computer Science without a PhD, having the knowledge will expand possibilities and increase your pay.

Some of the job titles that PhD candidates seek include:

Computer and Information Research Scientist:

People in this position help to invent new programming languages that enhance business practices. With the high amount of data, information and research, these scientists can create changes and also assess their impact through analysis.

Database Administrator:

Database administrators organize and secure data against attacks. Those with a PhD can be trusted to understand the complex nature of various systems and be able to better protect them.

Software Developer:

Software developers create systems and software for various uses. Although a PhD is not required to be a software developer, it further enhances one’s understanding.

Computer Science salaries vary based on position type, location and education. However, the overall field of Computer Science is growing. In fact, Computer and Information Research Scientists are expecting much higher than average growth with the discipline expected to increase its demand by 19% between 2016 and 2026. Those with a PhD will increase their salary potential based on their educational accomplishment.

Furthermore, with a PhD in Computer Science, you can go on to be a professor since you’re a leading expert in the field. The demand for jobs within the field is growing, especially regarding cloud computing, data storage, artificial intelligence and information security.

Online Versus Traditional Programs

The reason you choose to earn your PhD in Computer Science is personal, and how you choose to do it is also a subjective choice. It’s hard to say if an online university or traditional onsite program is better or worse because the reasons for choosing to do one or the other are different.

The benefits of an online program include relatively lower costs, more flexibility and greater accessibility. However, an onsite program offers you more opportunity to perform research and work with those in person who are already advancing the field.

For example, some students who earn their Bachelor’s degree in Computer Science online from University of the People may enjoy the online experience and therefore want to continue their studies remotely by earning their PhD online as well.

Earning your undergraduate degree is the first step in moving towards earning your PhD in Computer Science. While the field is always growing and the opportunity for research multiplies, pursuing a PhD in the discipline is an important decision to make. The program generally offers freedom to select your area of interest, but it also takes time and a lot of dedication to complete.

Those who go on to get their PhD should really have an affinity for the subject matter and love to conduct research. It’s also useful to know that it’s typically easier to earn a PhD then enter the field as opposed to working in the field and then going back to earn your PhD.

Any form of higher education will never serve as a detriment as it helps expand your mind, create more networking opportunities and better hone your skills and knowledge regarding specific subject matter.

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Doctoral Degree in Computer Science

Carnegie Mellon's Ph.D. in Computer Science is, above all, a research degree. When the faculty award a Ph.D., they certify that the student has a broad foundation and awareness of core concepts in computer science, has advanced the field by performing significant original research and has reported that work in a scholarly fashion.

When you begin our Ph.D. program, you’ll take the Introductory Course for Doctoral Students — an intense two week program that orients you to the department, introduces you to research and education topics our faculty are interested in, helps you find a faculty advisor and familiarizes you with Carnegie Mellon’s resources. Next, you’ll gain a broad understanding of fundamental research issues in major areas of computer science through coursework and original research. Finally, you’ll write and orally defend a thesis that guarantees you understand the area well enough to advance the state of knowledge in the field.

During the first two years of the program, you’ll gain the foundation of knowledge that will allow you to become an expert researcher in computer science, primarily by

Mastering a body of graduate material, achieved by passing 96 university units worth of graduate courses (equivalent to eight full-time courses).

Learning how to organize and begin to carry out original research, achieved by participating in directed research.

You will also serve as a teaching assistant, hone your writing and speaking skills and maintain your programming prowess. You’ll also receive periodic evaluation of your progress, and must make satisfactory progress to continue in the program.

Time Commitment:

As a Ph.D. student in computer science at CMU, you'll spend roughly five years acquiring a body of technical knowledge that includes a familiarity with the breadth of the field, as well as a deep understanding of your research area. From your second month in the program, you'll work closely with your faculty advisor, who is charged with guiding your education and monitoring your progress through the program. You'll take courses, teach and perform directed research — all to ensure that you leave Carnegie Mellon as an expert in your field. For a complete breakdown of our program requirements, read our Ph.D. Handbook .

Financial Information:

The Computer Science Department offers all Ph.D. students full financial support while they are in good academic standing in their respective programs. To learn more about Ph.D. funding, visit the SCS  Doctoral Programs  webpage.

Graduate Tuition: https://www.cmu.edu/sfs/tuition/graduate/scs.html

Student Fees: https://www.cmu.edu/sfs/tuition/fees/index.html

Carnegie Mellon Graduate Student Financial Aid: https://www.cmu.edu/sfs/financial-aid/graduate/index.html

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Doctoral Programs in Computational Science and Engineering

Application & admission information.

The Center for Computational Science and Engineering (CCSE) offers two doctoral programs in computational science and engineering (CSE) – one leading to a standalone PhD degree in CSE offered entirely by CCSE ( CSE PhD ) and the other leading to an interdisciplinary PhD degree offered jointly with participating departments in the School of Engineering and the School of Science ( Dept-CSE PhD ).

While both programs enable students to specialize at the doctoral level in a computation-related field via focused coursework and a thesis, they differ in essential ways. The standalone CSE PhD program is intended for students who plan to pursue research in cross-cutting methodological aspects of computational science. The resulting doctoral degree in Computational Science and Engineering is awarded by CCSE via the the Schwarzman College of Computing. In contrast, the interdisciplinary Dept-CSE PhD program is intended for students who are interested in computation in the context of a specific engineering or science discipline. For this reason, this degree is offered jointly with participating departments across the Institute; the interdisciplinary degree is awarded in a specially crafted thesis field that recognizes the student’s specialization in computation within the chosen engineering or science discipline.

Applicants to the standalone CSE PhD program are expected to have an undergraduate degree in CSE, applied mathematics, or another field that prepares them for an advanced degree in CSE. Applicants to the Dept-CSE PhD program should have an undergraduate degree in a related core disciplinary area as well as a strong foundation in applied mathematics, physics, or related fields. When completing the MIT CSE graduate application , students are expected to declare which of the two programs they are interested in. Admissions decisions will take into account these declared interests, along with each applicant’s academic background, preparation, and fit to the program they have selected.  All applicants are asked to specify MIT CCSE-affiliated faculty that best match their research interests; applicants to the Dept-CSE PhD program also select the home department(s) that best match. At the discretion of the admissions committee, Dept-CSE PhD applications might also be shared with a home department beyond those designated in the application. CSE PhD admissions decisions are at the sole discretion of CCSE; Dept-CSE PhD admission decisions are conducted jointly between CCSE and the home departments.

Please note: These are both doctoral programs in Computational Science and Engineering; applicants interested in Computer Science must apply to the Department of Electrical Engineering and Computer Science .

Important Dates

September 15: Application Opens December 1: Deadline to apply for admission* December – March: Application review period January – March: Decisions released on rolling basis

*All supplemental materials (e.g., transcripts, test scores, letters of recommendation) must also be received by December 1. Application review begins on that date, and incomplete applications may not be reviewed. Please be sure that your recommenders are aware of this hard deadline, as we do not make exceptions. We also do not allow students to upload/submit material beyond what is required, such as degree certificates, extra recommendations, publications, etc.

Application

A complete electronic CSE application includes the following:

• Three letters of recommendation ;
• Students admitted to the program will be required to supply official transcripts. Discrepancies between unofficial and official transcripts may result in the revocation of the admission offer.
• Standalone CSE PhD Statement Prompt: Please explain why you are a good candidate for the MIT PhD program in computational science and engineering (CSE). Describe why you wish to attend this program, what you would like to study, and any research experience you have. If your interests primarily involve machine learning, data science, or operations research, please explain why the CSE PhD program (rather than another MIT program focused specifically on one of those areas) is the right choice for you. Describe one or more accomplishments of which you are particularly proud, and that suggest you will succeed in your chosen area of research.
• Dept-CSE PhD Statement Prompt: (please note: joint program applicants will also need to respond to department-specific prompts) Please explain why you are a good candidate for the interdisciplinary PhD in computational science and engineering (CSE). Explain the motivation for your choice of home department or departments, what you would like to study, and any research experience you have. Describe one or more accomplishments of which you are particularly proud, and that suggest you will succeed in your chosen area of research.
• Official GRE General Test score report , sent to MIT by ETS via institute code 3514 GRE REQUIREMENT WAIVED FOR FALL 2025 ;
• Official IELTS score report sent to MIT by IELTS†  (international applicants from non-English speaking countries only; see below for more information)
• Resume or CV , uploaded in PDF format;
• MIT graduate application fee of $90‡.

‡Application Fee

The MIT graduate application fee of $90.00 is a mandatory requirement set by the Institute payable by credit card. Please visit the MIT Graduate Admission Application Fee Waiver page for information about fee waiver eligibility and instructions.

Please note: CCSE cannot issue fee waivers; email requests for fee waivers sent to [email protected] will not receive a response.

Admissions Contact Information

Email: [email protected]

► Current MIT CSE SM Students: Please see the page for Current MIT Graduate Students .

GRE Requirement

GRE REQUIREMENT WAIVED FOR FALL 2025 All applicants are required to take the Graduate Record Examination (GRE) General Aptitude Test. The MIT code for submitting GRE score reports is 3514 (you do not need to list a department code). GRE scores must current; ETS considers scores valid for five years after the testing year in which you tested.

†English Language Proficiency Requirement

The CSE PhD program requires international applicants from non-English speaking countries to take the academic  version of the International English Language Testing System (IELTS).  The IELTS exam measures one’s ability to communicate in English in four major skill areas: listening, reading, writing, and speaking.  A minimum IELTS score of 7 is required for admission.  For more information about the IELTS, and to find out where and how to take the exam, please visit the IELTS web site .

While we will also accept the TOEFL iBT (Test of English as a Foreign Language), we strongly prefer the IELTS. The minimum TOEFL iBT score is 100.

This requirement is waived for those who can demonstrate that one or more of the following are true:

• English is/was the language of instruction in your four-year undergraduate program,
• English is the language of your employer/workplace for at least the last four years,
• English was your language of instruction in both primary and secondary schools.

Degree Requirements for Admission

To be admitted as a regular graduate student, an applicant must have earned a bachelor’s degree or its equivalent from a college, university, or technical school of acceptable standing. Students in their final year of undergraduate study may be admitted on the condition that their bachelor’s degree is awarded before they enroll at MIT.

Applicants without an SM degree may apply to the CSE PhD program, however, the Departments of Aeronautics and Astronautics and Mechanical Engineering nominally require the completion of an SM degree before a student is considered a doctoral candidate. As a result, applicants to those departments holding only a bachelor’s degree are asked in the application to indicate whether they prefer to complete the CSE SM program or an SM through the home department.

Nondiscrimination Policy

The Massachusetts Institute of Technology is committed to the principle of equal opportunity in education and employment.  To read MIT’s most up-to-date nondiscrimination policy, please visit the Reference Publication Office’s nondiscrimination statement page .

Additional Information

For more details, as well as answers to most commonly asked questions regarding the admissions process to individual participating Dept-CSE PhD departments including details on financial support, applicants are referred to the website of the participating department of interest.

Email forwarding for @cs.stanford.edu is changing. Updates and details here .

PhD | Program Requirements

Main navigation.

On average, the program is completed in five to six years, depending on the student’s research and progress. First-year students have the opportunity to rotate in three different labs before selecting their advisor. 

The Computer Science Department also believes that teaching is an integral and important part of graduate-level education in Computer Science. In pursuing the PhD degree, students have clear and defined milestones that help guide them to the successful completion of their dissertation and oral defense. This includes a cumulative list of requirements to be completed in order for students to confer their PhD degree in Computer Science.

For any questions related to CS PhD milestone requirements, please email  [email protected] . 

Form/s should be submitted as a PDF and emailed to  [email protected] .  Jay Subramanian, Director of Graduation Admissions and PhD Program, approves all forms on behalf of the Department chair. The CS PhD Student Services Team will collect her signature after you submit your form/s.

• CS300 Seminar       
• First-Year Research Rotation Program       
• Courses       
• Foundation & Breadth Requirements       
• Candidacy Requirement       
• Qualifying Examination       
• Teaching Requirements       
• Reading Committee       

Thesis Proposal       

Note : A student may go to TGR status after all the Ph.D. requirements above have been completed, and just their orals and dissertation submission remain, see Special Registration Statuses page.

• University Oral Examination       
• Dissertation

Computer Science

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Computer Science is an area of study within the Harvard John A. Paulson School of Engineering and Applied Sciences. Prospective students apply through Harvard Griffin GSAS; in the online application, select “Engineering and Applied Sciences” as your program choice and select "PhD Computer Science" in the Area of Study menu.

In the Computer Science program, you will learn both the fundamentals of computation and computation’s interaction with the world. Your work will involve a wide range of areas including theoretical computer science, artificial intelligence and machine learning, economics and computer science, privacy and security, data-management systems, intelligent interfaces, operating systems, computer graphics, computational linguistics, robotics, networks, architectures, program languages, and visualization.

You will be involved with researchers in several interdisciplinary initiatives across the University, such as the Center for Research on Computation and Society, the Institute for Applied Computational Science, the Data Science Initiative, and the Berkman Klein Center for Internet and Society.

Examples of projects current and past students have worked on include leveraging machine learning to solve real-world sequential decision-making problems and using artificial intelligence to help conservation and anti-poaching efforts around the world.

Graduates of the program have gone on to a range of careers in industry in companies like Riot Games as game directors and lead scientists at Raytheon. Others have positions in academia at University of Pittsburgh, Columbia, and Stony Brook.

Standardized Tests

GRE General:  Not Accepted

APPLICATION DEADLINE

Questions about the program.

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Is it possible to complete a PhD in CS in 3 years?

I have always wanted to get a PhD. I'm in my thirties now and have a full time job. I don't necessarily need to get a PhD for my job, though it could open doors to a few research jobs that I can't apply for now. A few friends and colleagues have gotten their PhDs in about 5 years, they tell me that some have even spent 7 or 8 years.

Is it possible to complete a PhD in 3 years? Why or why not?

This would be a post-masters PhD in the US or Canada.

• computer-science
• united-states

• 2 It's a good idea to ask any institution that you're considering how long it takes (min/max/average) to complete the degree. In many places in the US you'll find that the average is five to six years, much longer than you want. –  Brian Borchers Commented Jul 6, 2019 at 18:10
• 2 @BrianB - To piggy-back on what you said, sometimes this varies not only from department to department, but also from advisor to advisor. It’s definitely best to ask a lot of questions up front. –  J.R. Commented Jul 6, 2019 at 23:06
• Are you looking for a quick PhD because you assume it would be full-time and you can't afford to take more than 3 years off work? It is often possible to study for a PhD either part-time or distance learning - obviously this will take longer, but you can carry on working and earning. Alternatively, if your first Masters was a taught degree, you could consider a reasearch-based Masters (again, part-time or distance learning). –  Owain Commented Jul 7, 2019 at 11:11
• I have always wanted to get a PhD Unless you want it badly enough to see it through regardless of how long it takes then don't start one. You cannot control how long it may take - it could take years longer than the best plan you design - this is outside your control. –  StephenG - Help Ukraine Commented Jul 7, 2019 at 15:26
• I think the best choice for me would be to start a PhD part-time while still working full time. Though I don't know how useful it would be after 8 years of research. –  user12973 Commented Jul 7, 2019 at 15:32

4 Answers 4

In theory, yes, it is possible. In practice it depends on many things. Let me try to list a bunch of the variables that have affect the time required.

The minimum requirements that you are likely to find for a doctorate are (a) pass a set of qualifying exams and (b) write a dissertation acceptable to the faculty. There may be a few exceptions but most of the exceptions will add requirements.

To pass the examinations, you normally take certain courses. You may already have the knowledge needed to take the exams from your masters, but many courses are designed specifically to ready you for the exams. If you don't have the knowledge you need to get it (courses or elsewhere) and that takes time.

The examinations normally guarantee that you have a solid but broad knowledge of your field. Research, on the other hand requires deep but narrow knowledge of a small sub-field. The graduate courses are also fairly broad, but also start to take you into the depths of some subfield and many will stress recent advances in some field.

To write a dissertation requires that in a small area of your discipline you become a subject expert - world class. That may require additional course work in the form of seminars with faculty and a few students. If you start out close to the boundary of the known world in the area in which you want to do research then you can move quickly. Otherwise it may take time and study to gain the required focus.

To write a dissertation, requires some knowledge of research process and in some fields that can take time to master. It is less likely to be an issue in mathematics, say, or in some parts of CS. But if you lack the knowledge of how to do the specific sort of research required of you, it will take time to gain it.

To write a dissertation requires a suitable problem. That problem can come from you or from a suitable advisor. But if there is no problem at hand then it will take time and study just to find a problem. Moreover, the problem has to be suitable . If it is too easy to solve or too hard then it isn't suitable. I worked, briefly, on both too hard and too easy problems in my math degree. But disposing of them and coming to the right problem only took several weeks of study. But it is hard to put a time limit here as research, by definition, is an exploration of the unknown.

To write an acceptable dissertation you have to produce some valuable work at the boundary of knowledge by solving the problem(s) posed. You also have to write it up and make sure there are no gaps that might invalidate the work. This can take time.

You have to make your advisor happy. Sometimes this is easy but sometimes not. Usually, however, there is the question of "How much is enough?" This is a value judgement, of course, and you and your advisor need to come to agreement.

Finally, you need, in most places, to defend your dissertation before a committee or the public and you need to handle a fair amount of paperwork. This can take some time, also, but isn't normally a big issue.

Note that lots of these things take time, but most of them require an amount of time that is hard to estimate and impossible to bound. If you are well prepared for exams and research and you have a suitable advisor and a suitable problem then three years is feasible, provided that the problem itself doesn't have hidden traps that aren't apparent at the start. Again, the existence of those traps is impossible to predict since you are extending the known world.

• A literature review is generally required and this can take quite some time (months). –  No'am Newman Commented Jul 7, 2019 at 10:51

There are countries where the standard duration of a PhD is 3 years so yes it's possible, but it usually means that the PhD is structured differently and the expectations differ. Even there it's very common that PhD last more than the standard duration: a PhD is research work and even in the best conditions it's often difficult to anticipate how the research is going to pan out. There can be all sorts of unexpected obstacles: somebody might publish some new finding which makes your approach obsolete, insufficient data for an experiment, an initial assumption might not be verified, etc.

So overall it's quite risky to set yourself a hard deadline from the start, as things often take a bit more time than expected. On the other hand, thinking of a serious PhD plan from the start can minimize the risk of delay.

In a US program, it is certainly possible, but it is substantially faster than average. It is easier in some areas (e.g. theory) than others (e.g. systems) where having a few brilliant ideas is sufficient, without the need to build an actual working piece of software. There are two ways I have seen it happen in theory:

1) Be a star: solve a few long standing open problems in your first couple of years, and write them up. This is obviously very hard; if you can pull it off, no need to stick around in the PhD program.

2) Publish a few mediocre papers and decide that research isn't for you. If you have enough material to barely clear the bar for a PhD, you can get out of the PhD program in 3 years, but not with a strong PhD. Usually the people who go this route just take software engineering jobs afterwards: so this isn't the kind of fast PhD you would want if you already have such a job.

Short of being a real star, good PhDs take longer than 3 years.

I did my MS from a public university in US. In my university, since PhDs were government funded, they wanted us to leave early.

So if you did MS from my university, then if you desire to go for PhD further, they’d let you be done in 3 years.

• Would be curious to see a list of universities by average time of completing a CS PhD. –  Andriy Makukha Commented Jul 7, 2019 at 6:07

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Overview of the PhD Program

For specific information on the Computer Science PhD program, see the navigation links to the right. 

What follows on this page is an overview of all Ph.D. programs at the School; additional information and guidance can be found on the  Graduate Policies  pages. 

General Ph.D. Requirements

• 10 semester-long graduate courses, including at least 8 disciplinary.   At least 5 of the 10 should be graduate-level SEAS "technical" courses (or FAS graduate-level technical courses taught by SEAS faculty), not including seminar/reading/project courses.  Undergraduate-level courses cannot be used.  For details on course requirements, see the school's overall PhD course requirements  and the individual program pages linked therein.
• Program Plan (i.e., the set of courses to be used towards the degree) approval by the  Committee on Higher Degrees  (CHD).
• Minimum full-time academic residency of two years .
• Serve as a Teaching Fellow (TF) in one semester of the second year.
• Oral Qualifying Examination Preparation in the major field is evaluated in an oral examination by a qualifying committee. The examination has the dual purpose of verifying the adequacy of the student's preparation for undertaking research in a chosen field and of assessing the student's ability to synthesize knowledge already acquired. For details on arranging your Qualifying Exam, see the exam policies and the individual program pages linked therein.
• Committee Meetings : PhD students' research committees meet according to the guidelines in each area's "Committee Meetings" listing.  For details see the "G3+ Committee Meetings" section of the Policies of the CHD  and the individual program pages linked therein.
• Final Oral Examination (Defense) This public examination devoted to the field of the dissertation is conducted by the student's research committee. It includes, but is not restricted to, a defense of the dissertation itself.  For details of arranging your final oral exam see the  Ph.D. Timeline  page.
• Dissertation Upon successful completion of the qualifying examination, a committee chaired by the research supervisor is constituted to oversee the dissertation research. The dissertation must, in the judgment of the research committee, meet the standards of significant and original research.

Optional additions to the Ph.D. program

Harvard PhD students may choose to pursue these additional aspects:

• a Secondary Field (which is similar to a "minor" subject area).  SEAS offers PhD Secondary Field programs in  Data Science and in  Computational Science and Engineering .   GSAS  lists  secondary fields offered by other programs.
• a Master of Science (S.M.) degree conferred  en route to the Ph.D in one of several of SEAS's subject areas.  For details see here .
• a Teaching Certificate awarded by the Derek Bok Center for Teaching and Learning .

SEAS PhD students may apply to participate in the  Health Sciences and Technology graduate program  with Harvard Medical School and MIT.  Please check with the HST program for details on eligibility (e.g., only students in their G1 year may apply) and the application process.

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PhD in Computer Science: Revolutionize Tech with Cutting-Edge Research

Blog / September 16, 2024

In a world where technology is shaping every single aspect of the lives of human beings, the discipline of Computer Science becomes one of the cornerstones for progress and advancement. From sleek, shiny interfaces on smartphones to complex algorithms fuelling autonomous vehicles, it is Computer Science that stays at the core of modern transformation. The Ph.D. in Computer Science is the highest academic degree, committed to the exploration of frontiers of technological potential, and a contribution towards innovations that are redefining the future. This innovative degree empowers its students to take on the most challenging problems and industry advancements, helping to shape the very fabric of tomorrow's technological landscape.

A Ph.D. in Computer Science will put you at the threshold of an unparalleled digital evolutionary journey. If you are ready to make an impact on the globe like never before, here's your opportunity. So, are you interested in flourishing as a researcher in the field of Computer Science? Then a Doctoral degree in Computer Science is your call!

Is a PhD in Computer Science Worth It?

The  demand for computer science professionals is skyrocketing , especially in India and the United States. According to the Bureau of Labor Statistics (BLS), employment in computer and information technology occupations is projected to grow 11 per cent from 2019 to 2029, much faster than the average for all occupations. This growth is fueled by the increasing reliance on technology and the need for skilled professionals to develop, maintain, and secure complex systems. Hence, it is worth it!

The Career Trajectory after Ph.D. in Computer Science 

A career in the field of Computer Science is promising and one with an internationally reckoned degree like Ph.D. can earn high wages in various positions. It gives the graduates a chance to get associated with institutions as lecturers or research scientists, in this manner, they may be given the challenge to conduct new research and prepare tomorrow’s innovators. Some of the potential career options after Ph.D. in Computer Science are-

• Professors 
• Data Scientist
• Machine Learning Engineer
• Cloud Solutions Architect
• Artificial Intelligence Research Scientist, etc.

These are just a few of the many positions which require technical and soft skills to prosper in computer science. India has emerged as a significant hub of education, possessing numerous world-class universities, offering a Ph.D. program in Computer Science. These universities provide a vibrant academic environment, supported by contemporary facilities and distinguished faculty members; one of those universities is Shiv Nadar University!

Lead the Tech Revolution with Ph.D. in Computer Science and Engineering at Shiv Nadar University (Institution of Eminence)

The Ph.D. program in Computer Science and Engineering at Shiv Nadar University is carefully designed to enable students to pursue challenging and rewarding careers in academia and research. This program addresses the gap, which is likely to grow due to an increase in the demand for good-quality Ph.D. graduates. In its design, the curriculum includes core and elective courses that address different levels of academic preparation among admitted candidates. The program, offered under the School of Engineering , is targeted at a robust mix of scholastic excellence and cutting-edge research. It guides students through the writing of a research proposal that will be of immense value in developing a Ph.D. thesis. 

Students at the university are actively involved in research in various areas of specialization, such as algorithms and complexity, data science and engineering, artificial intelligence and machine learning, security and privacy, wireless mobile computing, and networking. Research work should align with the current interests of the faculty. 

Ph.D. Computer Science and Engineering Admission Requirements

• ME / M.Tech. or equivalent in the relevant discipline from a recognized Technical Institute or University with 60% marks or 6.0 CGPA in qualifying degree.
• B.E./B.Tech in CSE or equivalent degrees OR MCA/ M.Sc. (CS /IT /ECE /Mathematics/ Physics/ Statistics/Operational Research) from a recognized Technical Institute or University with 75% marks or 7.5 CGPA in qualifying degree.
• The PhD admission process comprises a written exam and interview (of the qualifying candidates). Candidates with valid GATE score ≥ 95 percentile are exempted from the written test.
• Applicants waiting for the qualifying examination results are also eligible to apply.

To Consolidate

A Ph.D. in computer science denotes the epitome of infinite opportunities for deep research toward unlimited excellence and, eventually, equipping graduates with advanced knowledge and skills. With demand surging for such experts in the market, this opens doors to several impactful careers in academia, research, and industry that will shape the future in technology and innovation. So, what are you waiting for? Enroll in PhD in Computer Science at Shiv Nadar University.

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PhD in Computer Science

A Doctor of Philosophy in Computer Science is an advanced, intensive program that prepares students for careers in research, teaching, or development in the field of computer science. A program involves courses in core and elective areas of computer science, such as artificial intelligence, databases, and distributed algorithms. A Doctor of Philosophy in Computer Science program requires conducting original research under the guidance of a faculty advisor and writing and defending a dissertation that contributes to the knowledge base of computer science.

Program Objectives

PhD in CS program aims to:

• Equip learners with the ability to design and implement AI algorithms and models to address complex real-world challenges through rigorous research methodologies.
• Provide a strong foundation in machine learning and deep learning techniques for advanced data analysis, enabling students to contribute original findings to the field.
• Enable students to conduct comprehensive research on optimizing business processes through AI-driven automation and intelligent systems.
• Foster skills in artificial intelligence research to develop innovative applications and contribute to scholarly publications.
• Generate vision and strategic direction for creating AI-based solutions, supported by empirical research that aligns with organizational objectives.
• Develop expertise in ethical considerations and compliance related to AI and data usage, emphasizing the importance of responsible research practices.
• Cultivate the ability to lead and manage research projects that leverage AI technologies, ensuring they adhere to professional standards and contribute to the advancement of knowledge within the discipline.

Flexible schedule to accommodate working students

International academic staff and learning environment

Use of blended learning (in-class and online)

Sample curriculum.

Semester II

Semester III

Semester IV

Semester VI

Core Courses

– Research Methodology – Advanced Algorithms and Data Structures – Artificial Intelligence – Research Ethics – Conference Paper and Publications I – Conference Paper and Publications II – Research Paper

Departmental Electives

– Data Design and Visualization – Enterprise and Cloud Computing – Data Mining and Knowledge Management – Machine Learning for Data Analysis – Data Science and Data-Driven Decision-Making – Data Science with Open Source Tools – Enterprise Software Architecture and Design – Data Mining and Knowledge Management – Systems analysis and design – Enterprise architecture and systems integration – Advanced Selected Topic in CS I – Advanced Selected Topic in CS II

Scholarship exam registration is closed now, please contact administrator for more information.

Your Name (required)

Your Email (required)

Please upload your CV. (*pdf, docx, doc, csv)

Khoury College of Computer Sciences

Cybersecurity.

Are you a professional or recent graduate with experience in coding/programming and basic mathematics who wants to leverage technology to build a more secure world? Help advance the field of cybersecurity, assessing and managing ongoing, information security risks to defend key pillars of society.

At Northeastern University’s Khoury College of Computer Sciences, you’ll learn with top faculty and through direct work with key stakeholders in tech, government, health, finance, defense, and more. Lean into your strengths in one of the best cybersecurity programs available, preparing you for a key information security role in a technical or management position.

Leverage technology to help build a more secure world

Designated as a National Center of Academic Excellence for Cyber Operations by the Department of Defense and National Security Agency, Northeastern offers one of the best cybersecurity programs available to help you: 

• Gain technical computer science skills in information security.
• Develop a contextual and interdisciplinary foundation in law, forensics, criminology, social sciences, policy, and management to break down silos in cybersecurity.
• Hold an optional, full-time, paid co-op or internship.
• Learn from experts who are driving innovation across industries.
• Develop skills for lifelong advancement and collaboration with some of the most diverse thinkers in cybersecurity.

Develop your professional network in Arlington, VA

The program is offered online, in Boston, and in Arlington, VA, a tech-forward city with high activity across important sectors for cybersecurity, such as finance, health, law, and policy. Northeastern’s Arlington campus puts cutting-edge research at your fingertips.

• Vibrant research and development environment—the #4 Best Startup Ecosystem in the World (Startup Genome, 2022)
• Opportunity for interdisciplinary projects with other colleges at Northeastern
• Options to collaborate with businesses, governmental agencies, laboratories, and internationally recognized institutes and centers

Arlington Campus

Located in the Rosslyn, Virginia neighborhood, Northeastern University’s Arlington campus offers small-town charm and big-city entertainment—frequently receiving high rankings for quality of life. As an active, walkable urban neighborhood, you’re steps away from trendy shops, cafés, restaurants, and 75 miles of nature trails. The robust metro system offers access to the entire region, including the nation’s capital. From here, you can easily reach federal research and central intelligence agencies, as well as global leaders in software, cybersecurity, fintech, Big Data, digital media, defense, and aerospace. You can also enjoy more than 55 free museums and attractions surrounding the nation’s capital—including zoos, botanical gardens, and more—to ensure an enriching personal and professional experience in Arlington.

More Details

Unique features.

• Opportunities for paid, full-time co-ops or internships with one of Khoury College’s industry partner organizations, such as Akamai, Amazon/AWS, Bloomberg, Crowdstrike, Raytheon, Salesforce, and more
• Capstone project with companies such as Rapid 7, MITRE, Partners Healthcare, Fidelity, and Raytheon
• The research resources of an R1 institution in cybersecurity, a key area of study for Khoury College, such as the Cybersecurity and Privacy Institute
• A dynamic cohort of students from a wide variety of backgrounds that provides a 360° perspective and strong network across industries
• In-depth knowledge and experience in both technical and contextual aspects of cybersecurity

Career Outlook

Give yourself proven opportunities for career advancement. Cybersecurity is one of the most in-demand areas of expertise for U.S. employers, with a 0% unemployment rate since 2016—and demand is incredibly high globally (TechGenix). Khoury College cybersecurity graduates go on to work at some of the most influential companies and organizations around the world. In recent years, alumni have a record of 100% employment in their chosen field.

• 3.5 million job openings in the cybersecurity field are projected by 2025 ( Cybercrime Magazine )
• 33% job growth is projected in the United States for information security analysts from 2021 to 2031—over four times faster than the average employment growth rate of all occupations nationwide (U.S. Bureau of Labor Statistics)
• The global workforce gap for cybersecurity professionals has grown twice as much as the workforce, with a 26.2% year-over-year surge; 3.4 million cybersecurity professionals are needed (ISC2)
• Key employers of graduates of the program include  Amazon/AWS, Akamai, Google, Raytheon, MITRE, Salesforce, Fidelity Investments, U.S. Navy, U.S. Air Force, and Synopsys
• Program graduates hold positions such as security engineer, cybersecurity analyst, chief information security officer, cybersecurity compliance officer, cyber risk analyst, cloud security engineer, security architect, and more

Curriculum built around a uniquely comprehensive skill set 

This is one of the best cybersecurity programs to help you build an interdisciplinary foundation.

• Two courses in technical areas
• Two courses in contextual areas
• Either technical or contextual electives
• Optional qualifications like the concentration in criminology or a graduate certificate in engineering leadership

Master’s core courses

• Cyberspace Technology and Applications
• Foundations of Information Assurance
• Capstone Project

With a range of electives, such as:

• Applied Cryptography
• Computer System Security
• Network Security Practices
• Software Vulnerabilities and Security
• Software Security Practices
• Network Security
• Wireless and Mobile Systems Security
• Security Risk Management and Assessment
• Information System Forensics
• Cyberlaw: Privacy, Ethics, and Digital Rights
• Decision Making for Critical Infrastructure
• Special Topics in IT Security Governance, Risk, and Compliance
• Special Topics in Privacy Law
• Complexity Theory
• Cyberspace Programming
• Cloud Security
• IoT Security
• Machine Learning in Cybersecurity and Privacy

Full curriculum

Options for Study

• Customize your studies with full-time, part-time, and online options
• Options for students with a strong foundation in computer science as well as for students with more contextual knowledge (e.g., military, health, finance, etc.) who need to strengthen their foundational tech knowledge
• Scholarship for Service for students from other fields

Not sure if you qualify for the Master of Science in Cybersecurity?  Reach out to us.

Looking for something different?

A graduate degree or certificate from Northeastern—a top-ranked university—can accelerate your career through rigorous academic coursework and hands-on professional experience in the area of your interest. Apply now—and take your career to the next level.

Program Costs

Finance Your Education We offer a variety of resources, including scholarships and assistantships.

How to Apply Learn more about the application process and requirements.

Requirements

• Online application and fee 
• Transcripts from all institutions attended 
• Statement of purpose that should include career goals and expected outcomes and benefits from the program
• Recent professional resumé listing detailed position responsibilities
• Three letters of recommendation
• GPA minimums: 3.0 on a 4.0 scale, 8.0 on a 10.0 scale, or 80 on a 100 scale
• Official TOEFL (100 minimum) or IELTS (7.5 minimum) examination scores (international students only)
• GRE Optional

Are You an International Student? Find out what additional documents are required to apply.

Global Engagement Learn how our teaching and research benefit from a worldwide network of students, faculty, and industry partners.

Admissions Dates

Applicants must submit the online application and all required admission materials no later than the stated deadlines to be considered for admission. Admissions decisions are made on a rolling basis.

Industry-aligned courses for in-demand careers.

For 100+ years, we’ve designed our programs with one thing in mind—your success. Explore the current program requirements and course descriptions, all designed to meet today’s industry needs and must-have skills.

View curriculum

Get unique work experience

Apply what you’re learning at Northeastern in your current workplace or take advantage of the opportunity for four to eight months of paid, full-time work experience at one of Khoury College’s 700+ partner companies.

Our Faculty

Northeastern University faculty represents a broad cross-section of professional practices and fields, including finance, education, biomedical science, management, and the U.S. military. They serve as mentors and advisors and collaborate alongside you to solve the most pressing global challenges facing established and emerging markets.

By enrolling in Northeastern, you’ll be connected to students at our 13 campuses, as well as 300,000-plus alumni and more than 3,500 employer partners around the world. Our global university system provides you with unique opportunities to think locally and act globally and serves as a platform for scaling ideas, talent, and solutions.

Below is a look at where our Cybersecurity alumni work, the positions they hold, and the skills they bring to their organization.

Where They Work

• Fidelity Investments
• Sandia National Lab
• US Air Force

What They Do

• Security Engineer
• Cybersecurity Analyst
• Security Architect
• Security Consultant
• Security Engineering Manager

Learn more about Northeastern Alumni on  Linkedin .

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PhD Studentship in Computer Science: Analysing and Visualizing Brain-Heart Interactions in Health and Disease

Newcastle university.

Award Summary

100% Home fees covered and minimum tax-free annual living allowance of £19,237 (2024/25 UKRI rate)

The interaction between the heart and the brain is highly complex, especially in paroxysmal disorders, such epilepsy. Certain epileptic seizures commonly occur in association with changes in heart function; and some patients with cardiac abnormalities (e.g. QT prolongation) can have a primary seizure disorder and intractable focal epilepsy. For example, patients with concealed long QT syndrome (LQTS) can present clinically as syncope, seizures, or sudden cardiac death (SCD), and as such LQTS is often misdiagnosed as epilepsy. This research aims to analyse and visualise brain-heart interactions to predict early signs of ventricular arrhythmia/SCD, and other relevant phenomena in neurological conditions such as epilepsy, using ECG and EEG data. The research aims to build a comprehensive computational framework using AI & data visualisations to have much wider implications for translation and treatment. 

Supervisory environment:  

We offer a rich interdisciplinary research environment in both clinical and computational labs. Dr Alaa Alahmadi is a Lecturer in Computational Medicine at   the Interdisciplinary Computing and Complex BioSystems (ICOS)  research group in the School of Computing. She has excellent track record in cardiac monitoring technologies, human-like explainable AI & data visualisations. Prof Yujiang Wang is a UKRI Future Leaders Fellow and leads the   Computational Neuroscience, Neurology, and Psychiatry (CNNP)   lab in the School of Computing. Wang has extensive experience in both EEG, ECG, and wearable sensor analysis, and has a long track record in epilepsy research using computational and data science approaches with over 70 peer-reviewed papers on the topic. Dr Rhys Thomas is an Epileptologist ( Royal Victoria Infirmary ), Reader in Epilepsy (Newcastle University) and President of the British branch of the International League Against Epilepsy. He has extensive experience in clinical epilepsy research, including studying preventable causes of sudden death unexpected in epilepsy. 

Number Of Awards

January 2025

Award Duration

Application Closing Date

15 November 2024

School of Computing

Supervisors

Dr Alaa Alahmadi  

Professor Yujiang Wang  

Dr Rhys Thomas

Eligibility Criteria

You must have minimum 2:1 Honours degree/and or a merit Masters degree/international equivalent, in a relevant subject. 

Applicants whose first language is not English require IELTS score of 6.5 overall with a minimum of 5.5 in all sub-skills. 

Studentship covers fees at Home rate (UK and EU applicants with pre-settled/settled status and meet the residency criteria). International applicants are welcome to apply but will be required to cover the difference between Home and International fees. 

International applicants may require an ATAS ( Academic Technology Approval Scheme ) clearance certificate before obtaining a visa for this programme.

How To Apply

Apply to Newcastle Portal    

‘Create a Postgraduate Application’.    

Use ‘Course Search’ to identify programme of study:    

• Search ‘Course Title’ using code: 8050F 
• Research Area: Computing Science 
• Select PhD Computer Science as programme of study 

‘Further Questions’ section please upload:    

• ‘Personal Statement’- upload document/write directly into form 
• ‘Research Proposal’- select ‘Write Proposal’. Use the project title from this advert – you don’t need to provide a proposal. 
• Studentship code  COMP2173  in ‘Studentship/Partnership Reference’ field 

In ‘supporting documentation’ please upload:    

• covering letter/CV 
• transcripts/certificates 

Contact Details

Dr Alaa Alahmadi

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