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Approved Electives for the Data Science Minor

The courses listed below are pre-approved the 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.

  • BIOL325 Introduction to Quantitative Biology
  • BIOL327 Introduction to Biostatistics
  • BIOL445 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 210 Introduction to Conservation GIS
  • CONS 420 Conservation GIS
  • CSCI 215 Introduction to Bioinformatics
  • CSCI 241 Data Structures
  • CSCI 243 Discrete Structures of Computer Science
  • DATA 211/303 Data Visualization
  • DATA 302/311 Databases
  • DATA 330/341 Applied Time Series Analysis
  • DATA 340 Special Topics in Data Application
  • DATA 431 Spatial Data Discovery
  • DATA 440 Special Topics: Data Application Capstone
  • DATA 442 Neural Networks & Deep Learning
  • 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 210 Linearity
  • MATH 211 Linear Algebra
  • MATH 212 Introduction to Multivariable Calculus
  • MATH 213 Multivariable Calculus for Science and Mathematics
  • MATH 214 Foundations of Mathematics
  • MATH 265 Financial 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
  • PSYC 311 Cognitive Psychology
  • PSYC 355 Cognitive Science