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This minor in data science is primarily for students majoring in computer science and mathematical sciences with a concentration in statistics. The minor consists of a minimum of 19 credits, including the following:
Course | Title | Hours |
---|---|---|
Required courses | ||
CMSC 256 | Introduction to Data Structures | 4 |
CMSC 302 | Introduction to Discrete Structures | 3 |
CMSC 401 | Algorithm Analysis with Advanced Data Structures | 3 |
CMSC 435 | Introduction to Data Science | 3 |
STAT 321 | Introduction to Statistical Computing for Data Science | 3 |
Elective | ||
Select one course from: | 3 | |
Applied Statistical Computing Using R | ||
Nonparametric Statistics | ||
Industrial Statistics | ||
Regression | ||
Introduction to Statistical Data Science | ||
Time Series | ||
Total Hours | 19 |
All courses required for the minor must be completed with a minimum grade of C.