The Data Science minor places emphasis on the applied aspects of the field and is appropriate for students majoring in any discipline.
The requirements for the minor consist of six courses intended to provide breadth in applied statistics and computation and depth of experience working with data and communicating the results.
- A foundational Applied Statistics course:
- BIOL 113 – Quantitative Biology
- MATH 186 – Applied Statistics
- MATH 286 – Introduction to Probability and Mathematical Statistics OR
- MATH 336 – Mathematical Statistics OR
- PSYC 120 – Quantitative Methods in Psychology
- An introductory Computer Science or Computational Methods course:
- CS 104 – Introduction to Game Programming
- CS 105 – Digital Media Computing
- CS 106 – Personal Robotics
- CM 151 – Introduction to Computational Science OR
- CM 261 – Introduction to Numerical Computing for Engineers
- Principles of Data Science DS 201
- A course on core data science:
- A course on ethics and data in data science:
- BIOL 202/CE 202 – Data: The Good, The Bad, and the Misleading
- CS 200 – Computers and Society
- ECON 224 – Macroeconomic Data & Analysis
- ENG 150 – Introduction to the Digital Humanities
- GOVT 275 – Political Analysis
- IA 210 – Geospatial Analysis of Global Environmental Issues
- PHIL 175 – Ethics of AI, Internet, and Algorithms
- PHIL 236 – Philosophy of Science OR
- PHIL 335 – Experimental Philosophy
- A course on applications of data science:
- BIOL 274 – Introduction to Bioinformatics
- BIOL 356 – Biomedical Informatics
- ECON 224 – Macroeconomic Data & Analysis
- ECON 327 – Applied Econometrics
- ECON 361 – Marketing Research
- ECON 410 – Computational Simulation of Markets and Behavior
- EVST 205 – Geographic Information Systems for Studies in Environment and Society
- GEOL 229 – Geographic Information Systems and Remote Sensing in the Geosciences
- GOVT 275 – Political Analysis
- IA 210 – Geospatial Analysis of Global Environmental Issues
- IA 310 – Mapping World Cities
- MATH 337 – Stochastic Processes
- MATH 347 – Financial Mathematics OR
- PSYC 339 – Tests and Measurement
- NEUR 265 – Introduction to Neural Data Analysis
Students will also have the opportunity to satisfy the requirements through independent study or by petitioning to have other courses be accepted as a substitute. No more than three courses from each major (if there is more than one) can count toward this minor.
Courses listed in more than one category can be used to satisfy the requirement for either one or the other but not both.