Major Writing Requirement:

Satisfied with successful completion of the major core requirements.

Core Requirements: 22 Credits

• CSCI 241 - Data Structures Credits: (3)
• CSCI 243 - Discrete Structures of Computer Science Credits: (3) or  MATH 214 - Foundations of Mathematics  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 Applications of AI Credits: (3)
• DATA 442 - Neural Networks & Deep Learning Credits: (3)
• DATA 444 - Agent-Based Modeling Credits: (4)
• ENGL 465  - Game Studies Credits: (3)
• GIS 405 - Geovisualization & Cartographic Design Credits: (3)
• GIS 410 - Introduction to Remotely 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)

•  

  Beyond the courses listed above, as other courses with a significant computing component are added to the W&M undergraduate catalog, they can be approved to be counted as electives for the BA on an individual basis only with approval of the CS undergraduate director.