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Major (BS)

Curriculum (Effective Fall 2020)

Math Requirements

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:
  • 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

Curriculum (Effective Fall 2020)

Math Requirements

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:
  • 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