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 30 credit hours in total:
| Computer Science Graduate Core | 15 credits | |
| Electives | 15 credits |
The details are shown in the table below.
|
Computer Science Graduate Core
|
15 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 |
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 30 graduate credit hours for graduation.
|
Computer Science Graduate Electives
|
15 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
- 15 credit hours of MSCS graduate level courses
- 15 credit hours of CS/CE 400 level or above courses
Electives in Artificial Intelligence Focus:
- CS510 Artificial Intelligence
- CS511 Machine Learning
- CS512 Deep Learning
- CS513 Reinforcement Learning
- CS514 Large Language Model
- CS517 MATLAB for Machine Learning
Electives in Data Science Focus:
- CS451 Programming in Python
- CS511 Machine Language
- CS516 Data Science
- CS517 MATLAB for Machine Learning
- CS518 Data Mining and Big Data
- CS519 Web Data Mining
- CS520 Database System Principles
- CS522 Database Administration