Master of Computer Science
The Master of Computer Science is a 15-month long program that prepares students for immediate entry into the technology workforce as well as enhances students' opportunities for career mobility and growth. The program emphasizes computer science concepts that applies to a wide variety of applications and industries. Students learn or reinforce their knowledge through classroom and project-based learning, as well as through individual and collaborative assignments. Students conclude the program with capstone courses that require design, development, and professional writing components. Students' final projects are showcased to industry partners and hiring managers, with a strong emphasis on supporting networking and community building.
Most of the students in the program have a computing-related undergraduate degree; however, students from other technical backgrounds, as well as non-technical backgrounds, with sufficient preparation and experience in programming are also welcomed and encouraged to apply. Any admitted students who have not taken a course in discrete mathematics and data structures should complete these prior to entering the program in the fall.
For specific information regarding admissions requirements and the application process, please refer to the Graduate Division website.
| A. Complete any three of the following core courses: | |
| Principles of Data Management | |
| Computer and Communication Networks | |
| Operating Systems | |
| Computer Systems Architecture | |
| Algorithms with Applications | |
| Data Structures with Applications | |
| Machine Learning and Data Mining | |
| B. Complete the following three project courses: | |
| COMPSCI 295P | Keystone Project for Computer Science |
| COMPSCI 296P | Capstone Professional Writing and Communication for Computer Science Careers |
| COMPSCI 297P | Capstone Design Project for Computer Science |
| C. Complete at least six of the following elective courses that are not being counted as core courses from Section A: | |
| Computer Security | |
| Applied Cryptography | |
| Network Security | |
| Principles of Scientific Computing | |
| Computer Graphics and Visualization | |
| Databases and Data Management | |
| Principles of Data Management | |
| Transaction Processing and Distributed Data Management | |
| Big Data Management | |
| Parallel and Distributed Computing for Professionals | |
| Computer and Communication Networks | |
| Operating Systems | |
| Compilers and Interpreters | |
| Internet of Things | |
| Computer Systems Architecture | |
| Advanced Programming and Problem Solving | |
| Algorithms with Applications | |
| Data Structures with Applications | |
| Text Processing and Pattern Matching | |
| Optimization Modeling | |
| Artificial Intelligence | |
| Machine Learning and Data Mining | |
| Neural Networks and Deep Learning | |
| Graphical Models and Statistical Learning | |
| Keystone Professional Writing and Communication for Computer Science Careers | |
| D. Select one of the following: | |
| Computer Science Practicum | |
| Individual Study | |
All Master of Computer Science students are expected to maintain a minimum GPA of 3.0 throughout the program, with no individual grade lower than a B. The normative time to degree is four academic quarters plus summer, or sixteen months.