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 |