• Overview
  • Faculty
  • Requirements
  • Unique Opportunities
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Course Schedule

Computer Science – Interdisciplinary

Major

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 interdisciplinary computer science major allows a student to craft a personalized approach to computer science, data science and the liberal arts by working with an academic adviser to select a sequence of courses from other disciplines to create innovative combinations of technical skills and liberal arts inquiry.


Program Spotlight

Faculty

Isaac Sung Portrait

Changsok Isaac Sung

Assistant Professor of Computer and Data Science

[email protected]
McKenzie Lamb

McKenzie Lamb

Associate Professor of Mathematical Sciences

[email protected]

Requirements

44 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 credits in CSC
  • 20 credits in a defined field of study, approved by the student’s academic advisor and the Director of Computer and Data Sciences; these courses may be in a single department or multiple departments
  • Either a departmental seminar or Directed Study at the 500 level, in which a project is completed integrating computer and data science with the cognate discipline

Unique Opportunities

  • Skills in problem-solving, oral presentation writing and critical thinking are refined and developed in upper-level courses.