Requirements for the Data Science Bachelor of Science / Master of Science degree (56 semester hours)
Undergraduate Courses
- CS 151 Introduction to Programming with Python (4)
- CS 370 Fundamentals of Data Science I (4)
- MATH 239 Statistical Learning with R (4)
- MATH 280 Math for Data Science (4)
- Two DS Electives 100-level or greater or from approved list (8)
Approved DS Electives from outside of DS
- BIOL 342 Biostatistics (4)
- BIOL 347 Bioinformatics (4)
- CS 125 Problem Solving with MATLAB (4)
- CS 241 Data Structures (4)
- CS 343 Analysis of Algorithms (4)
- ECON 350 Introduction to Econometrics and Forecasting (4)
- ENVS 250 Geographic Information Systems (4)
- ENVS 381 Research in Spatial Science (4)
- MATH 253 Linear Algebra (4)
- MATH 266 Probability and Statistics (4)
- MATH 376 Topics in Mathematics: Probability Theory (topic dependent) (4)
- PHYS 340 Advanced Data Analysis and Simulation (ADAS) (4)
- PSYC 253 Research Methods and Analysis II (4)
Graduate Courses
- DATA 502 Data Visualization and Presentation (4)
- DATA 503 Fundamentals of Data Engineering (4)
- DATA 504 Data Ethics, Policy and Human Beings (4)
- DATA 505 Applied Machine Learning (4)
- DATA 510 Graduate Capstone (4)
- Three DS 500-level Electives or from approved list (12)
Approved DS Electives from outside of DS
- GSM 6020 Marketing Analytics (4)
- GSM 6216 Business and Economic Forecasting (4)
- GSM 6004 E-Commerce and Digital Marketing (4)
- GSM 6260 Research for Marketing Decisions (4)