Data Science and Artificial Intelligence
MSCS Program Data Science and Artificial Intelligence Track
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 |
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.