The B.S. in Data Science provides students with a solid undergraduate background in programming and data manipulation, applied statistics and inference, and practical domain experience to fluidly apply these skills. As has been observed in the organizing departments, students who engage in these pursuits become empowered through greater economic opportunities ranging from founding startups to gaining access to organizations that are making significant impacts in the world.

Curriculum

Math Requirements

• Calculus: Math 161, Math 162
• Linear Algebra: Math 212

Stats Requirements

• Introduction to Probability & Statistics: STAT 203
• Applied Regression Analysis: STAT 308
• Categorical Data Analysis: STAT 310
• 6 credits of STAT 300-level electives (excluding STAT 335 and 337)

Computer Science Requirements

• Computing and Data Analysis for the Sciences: COMP 180
• One of the following two courses:
  • COMP 170: Introduction to Object-Oriented Programming
  • COMP 215: Object-Oriented Mathematical Programming
• Data Structures: COMP 271
• Database Programming: COMP 353
• 6 credits from COMP 300-level electives

Data Science Core

• One of the following two courses:
  • STAT 338: Predictive Analytics
  • COMP 379: Machine Learning
• Social, Legal, and Ethical Issues in Computing: COMP 317
• Big Data Analytics (capstone): COMP 358
• Data Science Consulting (capstone): STAT 370

This course is offered by College of Arts and Science/Mathematics & Statistics.