Required Credit Hours: 36-37

37 credit hours are required if given 4 credits for CSCI 140 or CSCI 141, otherwise 36 credit hours are required.

Core Requirements: 22 Credits

• CSCI 140 - Computational Problem Solving in Data Science Credits: (4) or CSCI 141 - Computational Problem Solving  
• CSCI 241 - Data Structures Credits: (3)
• CSCI 243 - Discrete Structures of Computer Science Credits: (3)
• CSCI 301 - Software Development Credits: (3)
• CSCI 303 - Algorithms Credits: (3)
• CSCI 304 - Computer Organization Credits: (3)
• CSCI 312 - Principles of Programming Languages Credits: (3)

Electives: 15 credits

Any 15 elective credits chosen from the following list of courses. At least two courses need to be Computer Science courses.

• BUAD 460 - Big Data Analytics with Machine Learning Credits: (3)
• all CSCI 300-400 level courses excluding CSCI 320, 430, and 498
• DATA 301 - Applied Machine Learning Credits: (3)
• DATA 302 - Databases Credits: (3)
• DATA 303 - Data Visualization Credits: (3)
• DATA 441 - Advanced Applied Machine Learning Credits: (3)
• DATA 442 - Neural Networks & Deep Learning Credits: (3)
• DATA 444 - Agent-Based Modeling: Simulating Human Development Processes from Neighborhood to Regional Scales Credits: (4)
• ENGL 465  - Game Studies Credits: (3)
• GIS 405 - Geovisualization & Cartographic Design Credits: (3)
• GIS 410 - Introduction to Remote Sensed Imagery and Analysis Credits: (3)
• GIS 420 - Advanced GIS Analysis & Programming Credits: (3)
• LING 380 - Computational Methods in Language Science Credits: (3)
• MATH 323 - Operations Research: Deterministic Models Credits: (3)
• MATH 351 - Probability and Statistics for Scientists Credits: (3)
• MATH 413 - Introduction to Numerical Analysis I Credits: (3)
• MATH 414 - Introduction to Numerical Analysis II Credits: (3)
• MATH 424 - Operations Research: Stochastic Models Credits: (3)
• PHIL 330 - Ethics and Data Science Credits: (3)