Why attend the University of Cincinnati for Business Analytics?
The University of Cincinnati Master of Science in Business Analytics program provides you with expertise in descriptive, predictive and prescriptive analytics. That’s one of the many reasons why the University of Cincinnati Master of Science in Business Analytics was named one of the Top 10 business analytics programs in the United States and why our graduates are working as business analysts and data scientists at world-leading companies such as Google, Disney, Procter & Gamble, and Facebook.
In our program, you will work on real-world projects and learn the skills necessary to succeed in data visualization, statistical modeling, data mining, optimization, and simulation in order to proficiently analyze large datasets and generate actionable insights.
As part of our continual focus on the real-world application of classroom learnings, corporate partners visit the University of Cincinnati each week to present seminars to recruit and/or interview our Master of Science in Business Analytics students.
- Our program has been ranked one of the Top 10 business analytics programs in the United States.
- 92% of our students accept a full-time position within three months of graduation with an average salary greater than $82,000.
- Our students gain real-world data analytics experience thanks to our partnership with the University of Cincinnati Center for Business Analytics.
- Our program is taught by world-class faculty. Textbooks authorized by our faculty are utilized at more than 400 universities around the globe including North Carolina State, Vanderbilt, Georgia Tech, New York University and Michigan.
- The Master of Science in Business Analytics is recognized as a STEM (Science, Technology, Engineering, and Mathematics) program.
- Financial aid is available in the form of scholarships and assistantships and is awarded on a competitive basis.
What You'll Learn
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.
Program taught in: