Sep 27, 2023  
Undergraduate Bulletin 2022-2023 
Undergraduate Bulletin 2022-2023 Archived Bulletin

Data Science, B.S.

Robert Keller, Ph.D., Chair

General Education 36-39 credits
Major 54-59 credits
General Electives 22-30 credits

Data Science is an interdisciplinary field of study, drawing primarily from mathematics, statistics, and computer science. The major in Data Science combines coursework from these areas with a separate disciplinary focus so that an undergraduate majoring in Data Science may have ample opportunity to apply analytical techniques to problems of interest. This major will prepare students to utilize skills and practices of data science, thereby preparing them for many careers, connecting to a wide range of areas of study. It will teach students a variety of ways to use data to discover findings and communicate those findings appropriately. This program will also contribute to the application of and growth of data science in ethical ways.

Student Learning Outcomes - Data Science

  1. Import and clean data from a variety of sources and qualities using appropriate technologies for storage and retrieval.
  2. Select and employ appropriate mathematical, computational, or statistical methods for analyzing and visualizing data.
  3. Apply appropriate models and techniques to gain insights to and answer questions from chosen disciplinary focus.
  4. Effectively use knowledge (skills and conceptual understanding) from computing, mathematics, and statistics.
  5. Independently learn new methodologies and technologies in the field of data science.
  6. Communicate information clearly in multiple modes in audience-appropriate formats including written, oral, visual, and interactive means
  7. Demonstrate a knowledge of the ethical, professional, and disciplinary standards in data science and their content focus, and consistently apply ethical processes

General Education Requirements


Requirements for the major in Data Science (B.S.):

54 to 59 total required credits.