Twin Cities Campus
Business Analytics M.S.
Information & Decision Sciences
Curtis L. Carlson School of Management
Link to a list of faculty for this program.
Along with the program-specific requirements listed below, please read the General Information section of this website for requirements that apply to all major fields.
The M.S. in Business Analytics program provides a strong foundation in data analytics by bringing together a diverse body of knowledge from consumer behavior, risk management, operations research, optimization, information systems, computer science, applied statistics, and decision theory for the purpose of data-driven business decision making in both public and private sectors. Students who graduate from this 45-credit program will have the deep quantitative capabilities and technical expertise to create business and social value by extracting useful insights and applying them in a variety of career settings. The Business Analytics M.S. can be completed in one year of full-time study, or in three years part-time.
This program is accredited by This program is STEM approved.
Prerequisites for Admission
Applicants must have a bachelor's degree from an accredited college or university.
Other requirements to be completed before admission:
- Completion of some programming courses preferred. - Applicants must have completed at least one semester college-level Calculus course with a grade of "C" or better (or grade equivalent). - Work experience is not required, but preferred.
Special Application Requirements:
Applicants must submit all application materials through the University's admissions system. Application materials include: - A GMAT or GRE General Test that is not more than five years old, with an acceptable score. - For international students, an acceptable score on the Test of English as a Foreign Language (TOEFL) International Language Testing System (IELTS). - Names and contact information for three references in the online application. - A personal statement of career goals, and objectives for pursuing a Business Analytics M.S. degree. The personal statement questions are the following: Briefly describe your short-term and long-term career goals. Why are you choosing to pursue a Business Analytics M.S. degree at this time in your career, and what are you hoping to accomplish by doing so? Why are you interested in pursuing a Business Analytics M.S. degree at the Carlson School of Management? What do you feel makes you a strong candidate for the program? How will you contribute to the Business Analytics M.S. Program overall? Applicants must submit a current resume that includes job responsibilities and accomplishments in the online application. - Applicants may choose to submit an essay to comment on any item(s) in their application they consider worthy of further explanation. - Applicants may be required to complete an admissions interview, which are by invitation only.
Applicants must submit their test score(s) from the following:
International applicants must submit score(s) from one of the following tests:
Key to test abbreviations (GRE, GMAT, TOEFL, IELTS).
For an online application or for more information about graduate education admissions, see the General Information section of this website.
Plan C: Plan C requires 45 major credits and 0 credits outside the major. There is no final exam. A capstone project is required.
Capstone Project: Students will engage in an experiential learning application of the analytics methodologies, techniques, and tools learned throughout the program to a real-world problem. The final project will consist of the development and presentation of results, interpretations, insights, and recommendations.
This program may not be completed with a minor.
Use of 4xxx courses towards program requirements is not permitted.
A minimum GPA of 2.80 is required for students to remain in good standing.
Some business/basic technical requirements can be waived for students with degrees in related business areas/computer science.
Business/Management Fundamentals (12 credits)
Financial Accounting (3 cr) Data Analysis and Statistics for Managers (3 cr) Analytics for Competitive Advantage (3 cr) At least one of the following: Marketing Management (3 cr) Operations Management (3 cr) Strategic Management (3 cr) Financial Management (3 cr)
Technical Fundamentals (12 credits)
Programming & Application Development (3 cr) Data Management, Databases, and Data Warehousing (3 cr) Harvesting Big Data (3 cr) Project Management, Leadership, Communications & Team Dynamics (3 cr)
Specialty Courses (15 credits)
Exploratory Data Analytics & Visualization (3 cr) Predictive Analytics (3 cr) Advanced Issues in Business Analytics (3 cr) Data-Driven Experimentation and Measurement (3 cr) Modeling and Heuristics for Decision Making Support (3 cr)