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