Office of Graduate Programs

Business analytics

Masters of Applied Business Analytics - MABA (required internship)
Master of Science in Applied Business Analytics - MS (required thesis)

The College of Business and Innovation has launched two new graduate programs housed in the Department of Information, Operations, and Technology Management. Approved by the Ohio department of education this new program MABA in applied business analytics has admitted the first batch of full-time and part-time students into the program in Fall 2019.

The program is designed in a way that it may be completed on a full-time (1 calendar year) or part-time (2 calendar years)  with 30 credits, plus a maximum of 12 credits of pre-requisites and a required internship (part of 30 credits) . The program is a unique combination of one functional area of business and breadth of courses in business analytics capped by an internship at your place of work or at a new employer.

The goal of this program is to address the growing demand for analytical capabilities in solving business problems that are demanded by a variety of employers within the United States. Research results from public and private sectors show that there are substantially fewer experts in the field of business data analytics than there are opportunities for them.

  • 30 credit hour programs.  One year of full-time study or two years of part-time study
  • Emphasizes marrying one applied business discipline with business analytics
  • For non-business undergraduates, additional business pre-requisites may be needed
  • Admits both full time and part-time students

Flexibility - You can begin the program in Fall, Spring or Summer semester, and you can move through the program at your own pace. Many people work in a professional capacity while pursuing a degree on a part-time basis, while others pursue the degree as full-time graduate students.

The MABA/MS in applied business analytics program reviews applications comprehensively based on multiple criteria. The admission decision will be based on a composite profile of the applicant including test scores, academic background, grades, work experience, letters of reference, and the statement of purpose. For detailed information please click the "Prospective Students" link. 

For more information please contact:

Dr. Paul Hong, Program Director
419.530.2054 (phone) (email)


Last Updated: 9/24/20