Sample M.S. schedules
To see how your classes in the data science program might look, check out the sample schedules below.
3 semester option
Semester 1
Course Title | Credits |
---|---|
CSCI 5523 - Introduction to Data Mining | 3 |
CSCI 5707 - Principles of Database Systems | 3 |
STAT 5302 - Applied Regression Analysis | 4 |
Colloquium | 1 |
Elective | 3 |
Total Credits | 14 |
Semester 2
Course Title | Credits |
---|---|
CSCI 5451 - Introduction to Parallel Computing: Architectures, Algorithms, and Programming | 3 |
EE 5239 - Introduction to Nonlinear Optimization | 3 |
STAT 5401 - Applied Multivariate Methods | 3 |
Elective (8000 level) | 3 |
Total Credits | 12 |
Semester 3
Course Title | Credits |
---|---|
Elective | 3 |
Capstone Project | 3 |
Total Credits | 6 |
4 semester option
Semester 1
Course Title | Credits |
---|---|
CSCI 5523 - Introduction to Data Mining | 3 |
CSCI 5707 - Principles of Database Systems | 3 |
STAT 5302 - Applied Regression Analysis | 4 |
Colloquium (1cr) | 1 |
Total Credits | 11 |
Semester 2
Course Title | Credits |
---|---|
CSCI 5451 - Introduction to Parallel Computing: Architectures, Algorithms, and Programming | 3 |
EE 5239 - Introduction to Nonlinear Optimization | 3 |
STAT 5401 - Applied Multivariate Methods | 3 |
Total Credits | 9 |
Semester 3
Course Title | Credits |
---|---|
Elective | 3 |
Elective (8000 level) | 3 |
Total Credits | 6 |
Semester 4
Course Title | Credits |
---|---|
Elective | 3 |
Capstone Project | 3 |
Total Credits | 6 |
Questions?

Allison Small
Graduate Program Coordinator
Current students: [email protected]
Prospective students: [email protected]