CS&E has 51 faculty members who provide leadership and expertise to our 600 undergraduate majors, and nearly 400 graduate students.
Our faculty members are highly productive educators and researchers. They are international leaders in their respective fields and authors of widely used software and textbooks. The distinction of our faculty locally and worldwide is confirmed by their long list of awards and honors in research and teaching.
Our graduate programs encourages each student’s capacity for original and creative thinking, to understand the current state of the art of research and to assist him or her in producing innovative research. They are designed to produce graduates who are well prepared to excel in their future careers in industry, academia, and government. In addition, they address the increasing interdisciplinary nature of the computer science and engineering discipline and its role in advancing other disciplines in engineering, life sciences, physical sciences, social sciences, and humanities.
This is a research degree which culminates in a unique dissertation that demonstrates original and creative research.
The M.S. program in the Computer Science and Engineering (CS&E) department has three flexible tracks a student may pursue: a thesis-based degree, a project-based degree, and a course work-only M.S. Degree.
A coursework-only degree for those students seeking to broaden their knowledge without doing research. It is designed to meet the needs of working professionals.
Provides a strong foundation in the science of Big Data and its analysis by gathering in a single program the knowledge, expertise, and educational assets in data.
A full-time, two-year Master's program with a 95% graduation rate designed for working professionals.
M.S. Graduate Minor in Computer Science
A minor in computer science is also available to students outside the Department of Computer Science.
- A bachelor’s degree in computer science or a related field.
- GPA of 3.25 for MS or 3.45 for Ph.D.
- Minimum TOEFL score of 79, 21 in writing and 19 in reading.
Application information: cs.umn.edu/admissions/graduate
Graduate Research Areas
- Architectures, Compiler Optimization, & Embedded Systems
- Bioinformatics & Computational Biology
- Data Mining, Databases & Geographical Information Systems
- Graphics & Visualization
- High Performance Computing
- Human Computer Interaction (HCI)
- Networks, Distributed Systems, Security & Cloud Computing
- Robotics, Artificial Intelligence & Machine Learning
- Software Engineering & Programming Languages
- Theoretical Foundations
More research information: cs.umn.edu/research/research_areas
Contact: | 612-625-1592