Approved Electives for the Data Science Minor
The courses listed below are pre-approved to meet the elective requirements for a minor in Data Science.
Many departments and programs offer special topics courses that may be appropriate (e.g. BIOL404, BUAD492, CSCI320, CSCI420, ECON400, GOVT390/391, and MATH 459.) However, these courses are not pre-approved and you must follow the process outlined on the Data Science webpage about how to get electives approved for the minor requirement.
Students are encouraged to select electives which either complement their major, or further develop their expertise in Data Science, Mathematics, or Computer Science.
As this list may change over time, students and the department will verify selections at the time of minor declaration.
- BIOL 325 Introduction to Quantitative Biology
- BIOL 327 Introduction to Biostatistics
- BIOL 445 GIS for Biologists
- BUAD 350 Introduction to Business Analytics
- BUAD 351 Operations Management
- BUAD 352 Data Visualization and Simulation
- BUAD 460 Big Data Analytics with Machine Learning
- BUAD 463 Supply Chain Analytics
- BUAD 466 Developing Business Intelligence
- BUAD 467 Predictive Analytics
- BUAD 468 Prescriptive Analytics
- BUAD 469 Advanced Modeling Techniques
- CONS 420 Conservation GIS
- CSCI 215 Introduction to Bioinformatics
- CSCI 241 Data Structures
- CSCI 243 Discrete Structures
- CSCI 303 Algorithms
- DATA 3**/4**: Most DATA 300 or 400 level courses
- ECON 308 Econometrics
- ECON 331 Introduction to Mathematical Economics
- ECON 407 Cross Section Econometrics
- ECON 408 Time Series Analysis
- ECON 413 Dynamic Stochastic General Equilibrium Modeling
- ECON 412 Empirical Microeconomics
- GIS 201 Introduction to GIS
- GIS 405 Geovisualization and Cartography
- GIS 410 Introduction to Remote Sensing
- GIS 420 Advanced GIS Analysis and Programming
- GOVT 301 Research Methods
- GOVT 302 Quantitative Methods
- GOVT 307 Polling and Survey Methods
- MATH 214 - Foundations of Mathematics
- MATH 309 Intermediate Linear Algebra
- MATH 323 Operations Research: Deterministic Models
- MATH 332 Graph Theory and its Applications
- MATH 351 Probability and Statistics for Scientists
- MATH 352 Statistical Data Analysis
- MATH 353 Advanced Statistical Data Analysis
- MATH 408 Advanced Linear Algebra
- MATH 417 Vector Calculus for Scientists
- MATH 424 Operations Research: Stochastic Models
- MATH 451 Probability
- MATH 452 Mathematical Statistics
- MATH 455 Statistical Learning
- MATH 465 Mathematics of Financial Economics
- PSYC 302 Experimental Methods
