Master of Science in Computer Science (MSCS)
MSCS Program
The MSCS program provides students with a strong theoretical background and practical experience in keeping current with the high tech trends and state-of-the-art technologies in Silicon Valley. Special topics are offered to introduce the latest developments and issues in both academic research and industry application areas.
MSCS Program Computer Science Track
Explore Computer Science Track
The MSCS program offers a Computer Science track, allowing you to take a range of topics that are shaped around your interests. The Computer Science track offers advanced topics in Computer Science, i.e., database system design and administration, computer system design and application, computer networks and network security, wireless communications, artificial intelligence and machine learning, and data science.
MSCS Program Data Science and Artificial Intelligence Track
Explore Data Science and Artificial Intelligence
The MSCS program offers a Data Science and Artificial Intelligence track, allowing you to focus on courses to help develop a deeper understanding of data science and artificial intelligence. The Data Science and Artificial Intelligence track will provide a strong skill set in data cleaning, data analysis, data management, statistical inference, data visualization, data mining, and machine learning algorithms.
Graduate Level Requirements
Required credits:
All MSCS students must complete coursework in the following areas with a minimum of 36 credit hours in total:
| Computer Science Graduate Core | 18 credits | |
| Electives | 18 credits |
The details are shown in the table below.
|
Computer Science Graduate Core
|
18 credits
|
| CE450 | Computer Architecture I | 3 credits | |
| CS440 | Computer Networks I | 3 credits | |
| CS500 | Operating System Design | 3 credits | |
| CS502 | Design and Analysis of Algorithms | 3 credits | |
| CS520 | Database System Principles | 3 credits | |
| CS510 | Artificial Intelligence | 3 credits |
Students in the MSCS program may take any 400 level or above of Computer Engineering or Computer Science as electives. However, no more than four 400 level courses can count towards the minimum of 36 graduate credit hours for graduation.
|
Computer Science Graduate Electives
|
18 credits
|
| CS510 | Artificial Intelligence | 3 credits | |
| CS511 | Machine Learning | 3 credits | |
| CS512 | Deep Learning | 3 credits | |
| CS513 | Reinforcement Learning | 3 credits | |
| CS514 | Large Language Model | 3 credits | |
| CS515 | Business Intelligence and Data Warehousing | 3 credits | |
| CS516 | Data Science | 3 credits | |
| CS517 | MATLAB for Machine Learning | 3 credits | |
| CS518 | Data Mining and Big Data | 3 credits | |
| CS519 | Web Data Mining | 3 credits | |
| CS522 | Database Administration | 3 credits | |
| CS542 | Network Management | 3 credits | |
| CS545 | Network Security | 3 credits | |
| CS546 | Network Design and Analysis | 3 credits | |
| CE550 | Computer Architecture II | 3 credits | |
| CS560 | Software Engineering | 3 credits | |
| CE562 | Embedded Software Design | 3 credits | |
| CS562 | Software Quality Assurance | 3 credits |
| CS596-015 | Cloud Computing | 3 credits | |
| CS596-018 | Computer Performance Evaluation | 3 credits | |
| CS596-023 | Wireless Communication | 3 credits | |
| CS596-025 | Theory of Computation | 3 credits | |
| CS596-026 | OpenStack Cloud Architecture | 3 credits |
| CS596-030 | Internet of Things | 3 credits |
Graduation Requirements
- 18 credit hours of MSCS graduate level courses
- 18 credit hours of CS/CE 400 level or above courses
Notice to Prospective Degree Program Students
This institution is provisionally approved by the Bureau for Private Postsecondary Education to offer degree programs. To continue to offer this degree program, this institution must meet the following requirements:
- Become institutionally accredited by an accrediting agency recognized by the United States Department of Education, with the scope of the accreditation covering at least one degree program.
- Achieve accreditation candidacy or pre-accreditation, as defined in regulations, by May 24, 2023, and full accreditation by May 24, 2026.
If SVU stops pursuing accreditation, it must:
- Stop all enrollment in its degree program.
- Provide a teach-out to finish the educational program or provide a refund.
An institution that fails to comply with accreditation requirements by the required dates shall have its approval to offer degree program automatically suspended.