Major (BS)

Curriculum (Effective Fall 2020)

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 Tools and Techniques: COMP 141
• Object-Oriented Mathematical Programming: COMP/MATH 215
• Data Structures & Algorithms for Informatics: COMP 231
• Database Programming: COMP 353
• 6 credits from COMP 300-level electives

Data Science Core

• Fundamentals of Data Science with R: DSCI101
• One of the following two courses:
  • STAT 338: Predictive Analytics
  • COMP 379: Machine Learning
• Social, Legal, and and Ethical Issues in Computing: COMP 317
• Big Data Analytics (capstone): COMP 358
• Data Science Consulting (capstone): STAT 370

Note: 59 total credit hours