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Benedictine University

Master of Science in Business Analytics

Benedictine University, Lisle, Illinois


Educating the Leaders of Tomorrow


Goodwin College of Business
5700 College Road
Lisle, Illinois, 60532, United States



The Master of Science (M.S.) in Business Analytics program at Benedictine University is designed for professionals and students interested in quantitative methods and data analysis. Do you see the importance of data, particularly big data, and want to take advantage of exciting and growing opportunities to leverage its power across organizations? This is the program for you. The M.S. in Business Analytics program focuses on the skills, technologies, applications and practices for exploration and investigation of current data and past business performance in order to gain valuable information to drive business results. Our program provides the necessary knowledge and skills to use all forms of information and data using statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management tools to drive decision-making.

Academic Fields
    Data Processing and Data Processing Technology/Technician.
    Data Modeling/Warehousing and Database Administration.
    Educational Statistics and Research Methods.
    Business Statistics.
    Master's, M.S.B.A., Master of Science in Business Analytics

    Full Time, Part Time, On-Campus, Evening or Weekend


    Business Analytics, Analytics, Flexible, Online, Ground


    Admission Requirements: Please access the online application and submit a goal statement (Why are you motivated to pursue a Master's level program at this time?), 2 Letters of Recommendation (Academic or Professional), current resume and official transcripts. Please request that your transcripts be sent directly to: admissions@ben.edu Please note: International students need a course by course credit evaluation conducted by one of the following organizations: ECE/WES/Ed Perspectives. Those transcripts can be sent to us at: admissions@ben.edu Applications are reviewed on a rolling basis. We do not require GRE or GMAT scores, as we look at the candidate's entire file for admission. Ideally candidates would have a minimum GPA of 3.0. Our next start date for this program is: August 29th, 2022 (Fall).
    Academic Backgrounds
      Data Modeling/Warehousing and Database Administration.
      Business Administration, Management and Operations, Other.
      Business Statistics.
      Data Processing and Data Processing Technology/Technician.
      Mathematics and Statistics.


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    Rosa Alvarado

    Director of Graduate Admissions

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    Mrs. Jenny Jeschke

    Admission Counselor for Graduate Business Programs