MS in computer science offers an exciting opportunity to expand your technical skills—or enter the computing field—and take your career to the next level.
DePaul is a perfect place to earn your master’s in computer science:
The ability to design your degree. DePaul sets itself apart with the ability to customize your MS in computer science to your interests. Cybersecurity, app design, AI, data science—whatever your passion, you can tailor your degree to pursue it here.
The flexibility to fit your schedule and learning style. You can complete coursework online, on campus or a mix of both, based on your schedule and preference. With professors trained in online teaching and focused on your success, we offer flexibility without compromising quality.
The DePaul difference. Small classes. Distinguished, you-focused faculty. Practical, real-world focus, with exciting opportunities to participate in cutting-edge research projects. A strong reputation among the world’s leading employers, close ties with Chicago’s tech and start-up communities, and a large, accessible alumni network. This is the DePaul difference, here to help you advance in the computer science field.
Students will be able to:
- Model a computational problem, select appropriate algorithms and data structures for a solution, justify the correctness of the algorithm, and implement an application solving the problem.
- Demonstrate proficiency with fundamental concepts in algorithms, programming languages, software engineering, distributed systems, and databases.
- Demonstrate an in-depth knowledge in at least one area of Computer Science.
- Demonstrate the ability to independently learn and master new software development paradigms, algorithms, APIs, and programming languages.
93% of reporting School of Computing master’s graduates were employed, continuing education, or not seeking employment within six months of graduation
Associate Professor Tanu Malik is the co-director of the Data Systems and Optimization Lab at DePaul. Her research is in scientific data management, and currently spans topics such as efficient databases for scientific research, data provenance management, and data virtualization techniques for reproducible science. Dr. Malik has collaborated with astronomers, geoscientists, and urban scientists across several institutions.
Professor James Riely studies programming language semantics, with applications to type systems and software security. He joined DePaul University's Foundations of Programming Languages group in 1999.
Professor Ljubomir Perkovic joined the faculty at CDM in 2000. His research interests include computational geometry, graph theory and algorithms, distributed computing, computer science education, and computational thinking.
CS faculty perform research in a wide variety of areas. Many projects are funded by the National Science Foundation (NSF) and other agencies. Faculty research areas include artificial intelligence, computational finance, data mining, database systems, high performance and scientific computing, human-computer interaction, programming languages and systems, security, software engineering, technology education, theory, and visual computing.
CDM is home to a number of student organizations to fit your interests and career goals. The Computer Science Society (CSS) provides students the opportunity to collaborate on computer science-related projects, expand their computer science education, and hosts events like DemonHacks, our annual weekend-long hackathon. CSS’s goal is to build a community that computer science students can look to as a resource for academics, networking, career improvement, and enjoyment.
This degree can be completed entirely online. One hundred percent of the program’s lectures—from audio and video to whiteboard writing and supplemental materials—are captured and available online.
DePaul University and Rosalind Franklin University of Science and Medicine are funding faculty research projects that bring together artificial intelligence, biomedical discovery and health care. Projects involving School of Computing faculty will combine wearable, robotic sensors with GPS mapping to predict and prevent falls and injury among patients and members of the military, as well as analyze neurons in the brainstem to discover boundaries that control speech and swallowing.
|Enrollment Quarter||Domestic Student Deadline||International Student Deadline|
|Fall||August 1||June 15|
|Winter||December 1||September 28|
|Spring||March 1||January 15|
|Summer||May 1||April 15|
The graduate application process involves completing an online application, sending in your transcripts and submitting any supplemental material (e.g., letters of recommendation, certifications, etc.). To learn more about your program specific requirements, visit our
Graduate Admission page.
Contact Graduate Admission