Explore what a PhD in Computer Science involves, including affordable options, admissions requirements, timelines, costs/funding, and high‑growth careers
A PhD in computer science is more than a degree. It is a training for leadership in research and technology. Learn about programs, requirements, and career outcomes.

According to the U.S. Bureau of Labor Statistics, employment of Computer and Information Research Scientists is growing much faster than average. This is a career most aligned with a PhD in computer science, which is projected to grow 20% from 2024 to 2034.
Are you thinking about an advanced research path in computer science? Here are the essentials you need to know about pursuing a PhD in Computer Science.
A PhD in computer science is a research‑intensive doctorate that focuses on producing original scholarship. It generally takes 5-6 years to complete. As a doctorate in computer science, it requires a dissertation under faculty mentorship in areas like AI, systems, theory, HCI, security, and data science.
These programs are mostly milestone‑based. For example, you need to qualify exams, proposal, dissertation, and defense, which emphasizes deep research training and independent inquiry rather than just coursework. In practice, a CS PhD culminates in new knowledge contributions and peer‑reviewed outputs that prepare you for advanced research roles in academia, industry, and government labs.
The “best” PhD in Computer Science programs combine strong faculty, active research labs, and proven career outcomes. Below is a list of top universities widely recognized for excellence in doctorate in computer science training.
| Rank | College/University Name | Location State | Type |
|---|---|---|---|
| 1 | Arizona State University | Arizona | OnCampus |
| 2 | Carnegie Mellon University | Pennsylvania | OnCampus |
| 3 | Cornell University | New York | OnCampus |
| 4 | Georgia Institute of Technology | Georgia | OnCampus |
| 5 | Harvard University | Massachusetts | OnCampus |
| 6 | Stanford University | California | OnCampus |
| 7 | Mississippi State University | Mississippi | OnCampus |
| 8 | The George Washington University | Washington, DC | OnCampus |
| 9 | Washington University in St. Louis | Missouri | OnCampus |
| 10 | New York University | New York | OnCampus |
| 11 | University of Memphis | Tennessee | OnCampus |
| 12 | Duke University | North Carolina | OnCampus |
| 13 | University of Colorado Denver | Colorado | OnCampus |
| 14 | National University | California | Online |
| 15 | University of Minnesota | Minnesota | OnCampus |
| 16 | University of North Dakota | North Dakota | OnCampus & Online |
| 17 | University of Notre Dame | Indiana | OnCampus |
| 18 | New Jersey Institute of Technology | New Jersey | OnCampus |
| 19 | Boston University | Massachusetts | OnCampus |
| 20 | Florida Atlantic University | Florida | OnCampus & Online |
Admissions are highly competitive and holistic. They prioritize research potential, strong letters, prior research output/experience, and alignment with faculty research.
Many top CS PhD programs have dropped GRE (Graduate Record Examinations) requirements entirely. For example, Stanford CS does not require or consider GRE scores for PhD applicants.
Some materials needed for computer science PhD programs include:

Yes, especially for research‑driven careers. This degree pays off through high‑growth roles and strong compensation, particularly in R&D, advanced AI/ML, and specialized domains.
The U.S. Bureau of Labor Statistics shows how Computer and Information Research Scientists, roles closely aligned with PhD training, have a much faster than average growth outlook and a high median wage in the most recent data.
In addition, NSF’s doctoral workforce surveys document robust industry and academic employment for doctoral holders across science and engineering.
Students focused on advanced research, innovation leadership, or tenure‑track academic careers typically benefit most from doctoral training, while those targeting applied, development roles may find a master’s degree sufficient.
Most research-oriented CS programs in the US typically require 5-6 years to complete, consistent with timelines published by top programs. For example, Stanford CS notes the PhD is typically completed in 5-6 years, and MIT structures doctoral study around milestones that collectively span multiple years from qualification to defense.
Nationally, NSF’s Doctorate Recipients from U.S. Universities 2023 data tables report field‑level time‑to‑degree medians, with Computer and Information Sciences typically in the mid‑five‑year range from doctoral start to completion.
Time varies with research area (e.g., systems projects can be longer than theory), lab resources, publications, and internship or teaching commitments. Asking advisors and current students about realistic timelines in a specific lab is the best way to set expectations.
A PhD in Computer Science opens doors to diverse careers in academia, industry, and government. Graduates move into roles such as research scientists, AI/ML experts, faculty, and R&D leaders, with strong demand and competitive salaries worldwide. The table below highlights key career paths, typical responsibilities, and salary ranges.
| CAREER PATH | RESPONSIBILITIES | SALARY |
|---|---|---|
| Assistant Professor | Teach undergraduate/graduate courses, supervise grad students, run an active research program, publish, apply for grants, and serve committees. | $74,420 to $98,988/yr is the majority range. Average reported $87,327/yr. |
| Postdoctoral Researcher (CS / ML) | Conduct focused research under a PI, publish papers, mentor students, and sometimes teach. It is a common transitional role before faculty/industry research. | $62,232/yr as per typical US university/NIH/NRSA-based stipends. |
| Computer and Information Research Scientist | Lead or contribute to long-term research projects, publish, prototype/transfer research to product teams, and collaborate across teams. | Median pay of $140,910 per year (varies by company) |
| Machine Learning / Applied AI Engineer (senior/principal) | Design, build, deploy ML systems, productionize models, monitor systems, and collaborate with product/engineering. PhD holders are often in senior/lead roles. | $106,000 – $292,160+ per year is the average salary range for ML engineers. |
| Data Scientist (industry R&D or product analytics) | Lead high-impact projects, mentor teams, design experiments, drive data strategy, and sometimes manage small teams. | Average salary goes around $152,133/yr. |
| R&D Director / VP Engineering (research or AI orgs) | Set research/tech strategy, manage cross-functional teams, budgeting, hiring, and roadmap ownership with leadership + technical vision. | Average annual median compensation of $1,471,000. Top VP/exec packages at major tech firms often reach mid-six-figures to low millions in total. |
| Government / National-lab Researcher (e.g., national labs, defense research) | Conduct mission-driven R&D, collaborate with academia/industry, sometimes in security-cleared roles, publish and manage grants/contract work. | $157,160 – $185,160/yr. It varies by lab, GS pay scale, or lab pay bands. |
Most funded CS PhD students do not pay tuition out of pocket because their offers typically include full tuition coverage and a living stipend via fellowships or RA/TA appointments. So the stated “tuition” on public pages is not the student’s price. Therefore, applicants should prioritize programs with multi‑year support commitments.
Yes, admissions are highly competitive, and the strongest applicants show clear research potential, excellent recommendations, and a tight match with faculty interests and labs. Many programs evaluate holistically and do not require GRE scores.
A 3.6 or above on a scale of 4 is considered good. Since departments prioritize research fit and potential, high‑quality research experiences, publications, and letters can weigh more than small GPA differences at the top end.
In order to get a PhD in Computer Science, you will need a Master’s degree in Computer Science or a related field with a strong academic record, standardized test scores like the GRE or a relevant national exam, and letters of recommendation. You will also be required to submit a compelling statement of purpose and a research or project proposal.