M.S. in Data Science

Degree Requirements

The Master of Data Science degree requires a total of 36 credit hours of graduate work consisting of 12 three hour courses. Programming concepts including reading and writing data from and to raw text files, spreadsheets and relational databases will be a part of all course work.

Since this is a 16 month, accelerated program students will take 4 courses every semester.  We will be dividing the semester into 2 eight week terms and students will take 2 courses every eight-week term. 

MS in DSC Curriculum

Semester 1

Semester 1a Semester 1b
DSC 501
Intro Comp Data Science I
DSC 502
Intro Comp Data Science II
DSC 511
Fund. of Stat for Data
DSC 512
Linear Methods for Data Science

Semester 2

Semester 2a Semester 2b
DSC 521
Machine Learning I
DSC 522
Machine Learning  II
DSC 531
Generalized Linear Models
DSC 532
Categorical Data Analysis

Summer Session

DSC 541
Practicum in Data Science I 

Semester 3

Semester 3a Semester 3b
DSC 551
Spatial-Temporal Analysis
DSC 592
Special Topics

DSC 542
Practicum in Data Science II