Leadership Presentation


Create, understand, and evaluate data.

Today, organizations exist in a world of data, making data analytics one of the fastest-growing professional fields. Baker’s interdisciplinary minor provides students across campus—especially in business and economics, other social sciences, natural science, exercise science, and psychology—the opportunity to develop quantitative analytical skills and apply them to their field of study.

“I can’t believe I’m doing the exact stuff we were working through in class just a year or two ago.”

—Jackson Moormeier, International Business, 2019, Group Business Analyst at AG Coombs Australia

Program Objectives

  • Understand the data project life cycle: framing, gathering, cleaning, modeling, visualizing, presenting
  • Approach problems from a data-centric mindset
  • Master predictive and prescriptive modeling through problem solving, case studies, and projects
  • Understand the ethical and societal impacts and consequences to an organization from applying analytics

Core Courses

BS 450 Data Projects (Approved as a QS 411 equivalent course)

One of the following (3 or 4 credit hours):

  • BS 330 Quantitative Analysis in Business and Economics II
  • MA 321 Statistics II
  • PY 252 Research Design and Analysis II

One of the following (2 or 4 credit hours):

  • CS 150 SQL
  • CS 371 Database Design

Elective Courses

Students must complete three of the following courses (8 or 9 credit hours):

  • BS 356 Quantitative Methods
  • BS 430 Business Analytics
  • BS 474 Marketing Research
  • EC 400 Applied Econometrics
  • EX 261 Principles of Epidemiology in Public Health
  • MA 355 Statistics and Modeling
  • MA 361 Applied Data Analysis
  • Analytics-focused internship
Dr. Kevin McCarthy

Dr. Kevin McCarthy

Professor of Business & Economics, Collins-Dietrich Chair

B.A., M.B.A., Ph.D. St. Louis University

Office: Mabee 208  | kevin.mccarthy@bakerU.edu 

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