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Course Schedule

Computer Science – Chemistry



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


Isaac Sung Portrait

Changsok Isaac Sung

Assistant Professor of Computer and Data Science

[email protected]
Colleen Byron

Colleen Byron

Professor of Chemistry, L. Leone Oyster 1919 Chair in Chemistry

[email protected]
Dean Katahira

Dean Katahira

Professor of Chemistry Emeritus

[email protected]
Joseph Scanlon

Joseph Scanlon

Professor of Chemistry, Chair of Chemistry Department

[email protected]
Patrick Willoughby

Patrick Willoughby

Associate Professor of Chemistry

[email protected]


47 credits that include:

  • CHM 111
  • CHM 112
  • CHM 211
  • CHM 310
  • 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
  • 4 credits in CSC
  • 4 credits in CSC or CHM
  • CHM 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.