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 headshot

Allison Small

Graduate Program Coordinator

Current students: csgradmn@umn.edu
Prospective students: csadmit@umn.edu