Requirements
The minor requires 15 semester hours of coursework with a grade of at least a C- in each course.
No transfer credits, credit-by-exam, or CR courses may be used to fulfill minor course requirements unless otherwise stated below. At least nine of the hours used towards the minor cannot also satisfy major degree requirements. The following courses are required:
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Three core courses in each of the following areas (9 credit hours total):
Statistics
Data Science
Programming
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C S 303E Elements of Computers and Programming or C S 312 Introduction to Programming/CS 312H Introduction to Programming: Honors
Note: CBE or transfer credit that comes with a letter grade of C- or better may be used to fulfill this requirement.
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Two additional elective courses, one each from any two of the following areas (6 credit hours total):
Regression/Statistical Modeling
- SDS 324E Elements of Regression Analysis
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STA 372T.21 Time Series Forecasting
Machine Learning
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SDS 326E Elements of Statistical Machine Learning or SDS 323 Statistical Learning and Inference (no longer offered)
Databases
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C S 327E Elements of Databases
Note: only available for students who are also pursuing the Programming and Computation Certificate.
Probability/Mathematical Statistics/Statistical Inference
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SDS 321 Introduction to Probability and Statistics, M 362 K Probability I or M 378K Mathematical Statistics
Data Visualization
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SDS 366 Data Visualization in R or SDS 375 Topic: Data Visualization in R (no longer offered)
Note: Students who have taken SDS major restricted courses including SDS 313, SDS 315, SDS 431, SDS 334, and SDS 336 and who are no longer pursuing the SDS major may use those courses to fulfill minor requirements.