BS-MS: Data Science
Student Learning Outcomes
Students graduating from this program will:
- develop solutions for advanced problems using appropriate skills and knowledge in data science;
- recognize and apply state of the art techniques and tools in the data science field;
- work effectively in teams;
- demonstrate advanced knowledge in data science.
Admission requirements
- 3.0 undergraduate cumulative GPA and
- Undergraduate degree in Computer Science or Information Technology
| Code | Title | Credits |
|---|---|---|
| Core Requirements | ||
| COMP-SCI 5530 | Principles of Data Science | 3 |
| COMP-SCI 5540 | Principles of Big Data Management | 3 |
| COMP-SCI 5565 | Introduction to Statistical Learning | 3 |
| COMP-SCI 5567 | Deep Learning | 3 |
| COMP-SCI 5588 | Data Science Capstone | 3 |
| Electives: | 15 | |
| Cloud Computing | ||
| Big Data Analytics and Applications | ||
| Advanced Software Engineering | ||
| Knowledge Discovery and Management | ||
| Information Security and Assurance | ||
| Computer Vision | ||
| Special Topics | ||
| Directed Readings | ||
| Mathematical Methods in Data Science | ||
| Business Analytics and Statistics | ||
| Data Management and Data Mining for Business Analytics | ||
| Predictive Analytics Using R | ||
| Statistical Design Of Experiments | ||
| Time Series Analysis | ||
| Total Credits | 30 | |