• Overview
  • Faculty
  • Requirements
  • Unique Opportunities

Computer Science – Mathematics



Computer and Data Sciences combines technical skills with the liberal arts to hone problem-solving skills that may be used in a wide array of settings. The integrated majors with mathematical sciences, chemistry, and physics deepen these skills while developing specific disciplinary expertise in these sciences.

Program Spotlight


Andrea Young

Andrea N. Young

Acting Dean of Faculty, Associate Professor of Mathematical Sciences, Special Assistant to the President and Liaison to the Board of Trustees

[email protected]

David W. Scott

Associate Professor of Mathematics, Chair of Mathematical Sciences Department

[email protected]
McKenzie Lamb

McKenzie Lamb

Associate Professor of Mathematical Sciences

[email protected]
Rajinder Mavi

Rajinder Mavi

Visiting Professor of Mathematical Sciences

[email protected]


44 credits that include:

  • MTH 201
  • MTH 202
  • CSC 101 Introduction to Programming
  • CSC 236 Data Analysis and Visualization
  • CSC 336 Data Structures and Algorithms
  • CSC 371 Artificial Intelligence and Applied Machine Learning
  • 8 additional credits in CSC
  • 8 additional credits in MTH above MTH 300
  • MTH 501,502 (must complete computer/data sciences oriented project)

Unique Opportunities

  • Each integrated major requires students to complete a culminating project applying computer and data sciences to the other discipline; these projects take place in the senior seminar.
  • Skills in problem-solving, oral presentation writing and critical thinking are refined and developed in the upper-level disciplinary courses taken in physics, as described in the Catalog sections for each integrated major.