Carl H. Lindner College of BusinessCarl H. Lindner College of BusinessUniversity of Cincinnati

Carl H. Lindner College of Business

MS-Business Analytics Program

Master of Science in Business Analytics

The Lindner MS in Business Analytics degree is

The Master of Science - Business Analytics degree combines operations research and statistics, using applied mathematics and computer applications in a business environment. The University of Cincinnati has offered this degree (formerly known as MS - Quantitative Analysis MSQA) since the late 1970s.  The MS - Business Analytics prepares students to succeed in the rapidly growing “big data” career field with high starting salaries and over 95% placement on graduation.  See our current student profiles and alumni profiles.

Our graduates have gone onto careers as Data Scientists, Business Analysts, Business Intelligence Engineers, Analytics Science Consultants, Market and Consumer Analysts, Operations Research Analysts, Financial, Risk or Recovery Analysts in a wide variety of industries. Graduates (see what business analytics graduates say) have accepted positions at Procter & Gamble, Disney, Yahoo, Morgan Stanley, Amazon, Paypal, McKinsey & Co. and other leading companies (see who hires our business analytics students).

MS Business Analytics - Program Highlights

  • The MS Business Analytics program begins in late August and full-time students can complete the program in as little as nine months (two semesters), though 12 months is more common.  Part-time students are welcome and accommodated by late-afternoon, evening, and Saturday class times.
  • On Campus Employer Seminars and Recruiting: Almost every week, throughout the school year, major employers seeking analytics and technical talent, will present a seminar, recruit, or interview MS Business Analytics students. A few of the presenting companies include Tata Consultancy Services, Great American Insurance, GE Digital, Teradata, PWC, DMI, 84.51, and Fifth Third Bank.
  • The program features an outstanding nationally ranked and world class faculty who conduct advanced analytics research.  Textbooks authored by UC business analytics faculty are used at more than 400 different institutions including U of Arizona, NC State, Johns Hopkins, Purdue U, Indiana U,  New York University, Ohio State, U of Michigan, Notre Dame, U of Texas, Georgia Tech, Vanderbilt, UCLA, USC, and Wash U in St Louis.
  • Students benefit from the corporate/academic partnership with The Center for Business Analytics which provides real world data analytics experience and career opportunities for students, and promotes industry leadership and research to advance the field of business analytics.
  • Financial aid is available in the form of scholarships and assistantships, and is awarded on a competitive basis.
  • The MS - Business Analytics program is recognized as a STEM (Science, Technology, Engineering, and Mathematics) programSTEM Education Coalition

MS in Business Analytics - Prerequisites and Courses

Program prerequisites include a significant mathematics background, fundamental knowledge of computer programming, and basic knowledge of business. 

Program core courses are in optimization, simulation modeling, probability modeling, data management and statistical methods.  Elective courses include data mining, data visualization, operations management and case studies

Capstone experience requires students to demonstrate their skills through a research project, an extended case analysis, or an internship.


"The business knowledge and quantitative skills I obtained from my education in the MS - Business Analytics program have not only helped me solve real problems in industry, but also differentiated me from other candidates in the job market."

Applications for Fall 2017 will open soon


UC undergraduate students- If you qualify for the program and have a 3.5 cumulative GPA you do not have to take the GMAT or GRE.

 Teradata University Network 2016 Analytics Challenge

MSIS and MSBANA students selected as Finalists and Honorable Mentions

Finalist: Detecting Fraud Emails Using Text Analytics Techniques
Members: Chaithanya Samudrala (MSIS), Pratap Krishnan (MSBANA)
Advisors: Jay Shan, Andrew Harrison

Honorable Mention: A Novel Approach for Using Data Mining to Support a Strategic Benchmarking Study
Members: John Ernst (MSIS), Ian Johnson (MSIS), Aaron Lawson (MSIS), Xu Zhang (MSIS)
Advisor: Jay Shan


FALL 2016

May 31: Domestic Students
June 30: Part-Time and Domestic Students (if space available) ________________________

DataInformed calls the UC Business Analytics Program "a name brand in big data education" with "a solid reputation and a stellar track record of job placement"