• Overview
  • Faculty
  • Requirements
  • Unique Opportunities

Computer and Data Sciences

Minor

Overview

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 five courses of the minor build the core skills necessary to use computer applications and data analysis across disciplinary contexts.


Program Spotlight

Faculty

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]
Brett Barwick

Brett Barwick

Associate Professor of Physics, Harrison E. Farnsworth 1918 Endowed Chair in Physics

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Christina Othon

Associate Professor of Physics

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Colleen Byron

Colleen Byron

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

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David W. Scott

Associate Professor of Mathematics, Chair of Mathematical Sciences Department

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Dean Katahira

Dean Katahira

Professor of Chemistry

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Joseph Scanlon

Joseph Scanlon

Associate Professor of Chemistry, Chair of Chemistry Department

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McKenzie Lamb

McKenzie Lamb

Associate Professor of Mathematical Sciences

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Patrick Willoughby

Patrick Willoughby

Assistant Professor of Chemistry

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Rajinder Mavi

Rajinder Mavi

Visiting Professor of Mathematical Sciences

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Requirements

20 credits that include:

  • 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 additional credits in CSC

Unique Opportunities

  • Skills in problem-solving, oral presentation writing and critical thinking are introduced and reinforced throughout the five core courses of the minor. Skills then are refined and developed at the upper division.