Graduate Admissions Overview
The Department of Computer Science and Engineering is excited to announce we will be participating in the virtual Grace Hopper Celebration 2020. GHC is the world’s largest gathering of women technologists and will be held from September 29 - October 2, 2020.
The department will be available to discuss our graduate programs in Computer Science and Data Science, including admission requirements, degree requirements, and research opportunities. We hope to see you there!
We encourage you to consider joining our amazing group of students, faculty, and researchers! The Department of Computer Science and Engineering has a large faculty cohort that provide leadership and expertise to our graduate students. Our faculty members are highly productive educators, researchers, and international leaders in their respective fields.
While studying in CS&E, you will have access to state-of-the-art research facilities that provide you with the tools and resources needed to produce innovative technologies. We have teams working on everything from underwater robotics to interactive visualizations to the latest breakthroughs in big data and cloud computing. After working on their cutting-edge research projects here in Minnesota, our graduates often go on to continue their career at top-level universities and companies.
Our Graduate Program in Computer Science is part of a comprehensive research university with amazing facilities and student opportunities. Ranked among the best engineering schools in U.S. News & World Report, we are the only Big 10 University located in a major metropolitan area, Minneapolis/St. Paul, home to 17 Fortune 500 companies. You will join a diverse university community that includes more than 2,700 international graduate and professional degree students in more than 200 fields. Students come from all 50 states and more than 130 countries around the world. Our department takes particular advantage of this diversity, collaborating on projects with colleagues from engineering, design, health sciences, natural sciences, business, social science, humanities, and more. We also have extensive collaborations with companies, universities, and government agencies around the country and around the world.
Prospective students can RSVP for an information session to learn about the following graduate programs:
- Computer Science MS
- Computer Science MCS
- Computer Science Ph.D.
- Data Science MS
- Data Science Post-Baccalaureate Certificate
RSVP at z.umn.edu/csgradinfosessions
*We will likely be moving these information sessions to an online format. If you RSVP, we will provide details on how to connect to the session remotely as the date approaches.
The Graduate School also offers information sessions and campus tours. You can find more information on this webpage.
- Ph.D. in Computer Science. This is a research degree that culminates in a unique dissertation that demonstrates original and creative research. Application instructions can be found here.
- M.S. in Computer Science. The department offers three types of M.S. degrees: (i) Plan A with a research thesis, (ii) Plan B with an independent project, and (iii) Plan C that only requires coursework-based projects. Application instructions can be found here.
- M.C.S. (Masters of Computer Science) This is a coursework-only degree designed to meet the needs of working professionals. Application instructions can be found here.
- M.S. in Software Engineering. This degree focuses on working professionals that want to get a deeper understanding of software engineering and is a coursework-only Plan C.
The department’s faculty members play a significant role in three additional graduate degree programs, which are:
*Note that the respective programs handle admissions in these programs.
The graduate programs in the Computer Science and Engineering department are highly competitive. We receive 1600+ applications each year for approximately 140 total seats in the Ph.D. and M.S. programs. We are only able to admit the most qualified applicants who advance our mission of innovative research.
Statistics for applicants can be found here: