Program Requirements
Minor in Data Science
A grade point average of 2.00 is required for all courses taken in residence that may be applied to the data science minor.
Requirements
Foundation Courses – 12 credits
- STAT 160 – P4 Introduction to Data Science (3)
- Choose ONE:
- CSCI 260 – Introduction to Databases (3)
- CSCI 353 – Database Structures (3)
- STAT 345 – Predictive Analytics (3)
- STAT 375 – Data Analysis and Statistical Computing (3)
Electives – 6 credits
While students may choose any two of the following elective courses in consultation with their major advisor or director of the statistics program, they are encouraged to pick electives which link the minor with their major fields.
- BIOL 312 – Parasitology (3)
- BIOL 405 – Evolution (3)
- BIOL 408 – Ecology (3)
- COMM 349 – Media Management and Economics (3)
- COMM 363 – Media Research and Analytics (3)
- CRIM 250 – Technology and Crime (3)
- CSCI 385 – Data Mining (3)
- DIGC 240 – P4 The Networked World (3)
- DIGC 245 – SQ Visualizing Data (3)
- ECON/STAT 222 – Nonparametric Statistics (3)
- ECON 314 – Introduction to Econometrics (3)
- ECON/SPST 330 – Economics of Sport (3)
- ECON 402 – Introduction to Game Theory (3)
- MATH 130C – SQ Mathematical Modeling and Quantitative Analysis (3)
- MGMT 345 – Applied Management Research (3)
- POSC 224 – P3 Campaigns and Elections (3)
- POSC 327 – Strategies in Politics (3)
- PSYC 204 – Advanced Statistics (3)
- PSYC 388 – Testing and Measurement (3)
- SPST 320 – Sport Marketing and Promotions (3))
- STAT 330 – Sample Survey Methods (3)
- STAT 370 – Meta-analysis (3)
- STAT 390 – Special Topics in Statistics (3)
Total: 18 credits
Note: Statistics majors may not minor in data science. Only two courses applied to a student's major may also be used to satisfy a requirement in the minor.