Data Science Major

This major combines roughly equal portions of computer science and statistics with a substantial cognate in a domain area of the student’s choice, where they will apply their data analysis skills.

Major
Scheduling
Careers
Scholarships

Computer Science Courses

  • CS-106 or CS-108: Introduction to Computing
  • CS-112: Introduction to Data Structures
  • CS-212: Data Structures and Algorithms
  • CS-344: Artificial Intelligence
  • CS-374: High-Performance Computing

Mathematics and Statistics Courses

Data Science Courses

  • DATA-101: Data Science for Everyone
  • DATA-202: Information Systems and Data Management
  • DATA-303: Applied Modeling and Visualization (Capstone)

Cognates

At least 15 semester hours, usually with the same course prefix (e.g. BIOL, BUS, GEOG, POLS, etc.) other than CS, DATA, MATH or STAT. At least 6 hours must be at the 300 level. A current list of suggested cognate course tracks can be found here:

Data Science Cognate Tracks

Students can propose other course combinations in consultation with their advisor.

BA vs. BS

Students who complete at least fifty-eight semester hours in biology, chemistry, computer science, the earth sciences, engineering, mathematics, physics and psychology may elect to receive a Bachelor of Science degree by submitting a request to the registrar’s office. Others will receive a Bachelor of Arts degree.

The following course schedule provides a suggested framework for students pursuing a BA (or BS) in data science.

YearFallInterimSpring
Freshman
  • CS 108
  • MATH 171
  • Cognate I (1XX)
 
Sophomore
  • CS 212
  • STAT 243 or 343
  • Cognate III
 
  • DATA-101
  • Cognate IV
Junior

Senior
  • CS 374*
  • Cognate V (if necessary)
 

* offered every other year

The Data Science program is an interdisciplinary mix of Computer Science, Data, Mathematics, and Statistics. For more information about the program, please contact the Chair of Computer Science or the Chair of Mathematics & Statistics.

There are a variety of career options available to people with data science skills, including Data Scientist, Data Analyst, Business Analyst, Marketing Analyst, Data Engineer, Data Architect, Data and Analytics Manager, and Business Intelligence Analyst. For overviews of what each of these careers entails, please see the Discover Data Science Careers page.

Students in this program are eligible for the following scholarships and awards: