Business: Analytics MSB

Founded in 1900, the School of Business established one of the first five business programs in the nation. That entrepreneurial spirit remains strong.

As a student in the School of Business, you will find yourself inspired by peers, staff, alumni, business leaders, and world-renowned faculty who are focused, collaborative, and engaged in every aspect of the student experience. You will join a highly ranked program that equips you to meet both academic and career challenges. Employers value School of Business graduates because of the comprehensive preparation this learning environment provides. Graduates possess highly sought-after general management and specialized expertise in business.

Joining collaborative, inspiring, trustworthy, and progressive Wisconsin School of Business alumni, Business Badger graduates are prepared to lead their organizations to success and transform the world of business. Together Forward!

Master of Science in Business Analytics

Learn to leverage data to answer complex business questions in any industry with this STEM-designated M.S., Business Analytics. Addressing all aspects of business, you will use cutting-edge tools to hone your analytical skills and business acumen. The ability to turn data into decisions is crucial in our fast-paced world and this one-year Wisconsin School of Business program prepares students to seize these opportunities as they arise.

The Business Analytics curriculum includes the topics of:

• Data acquisition, analysis, and visualization
• Machine learning, experimental design, and optimization
• Descriptive, predictive, and prescriptive analytical approaches
• R/Python/SQL/Tableau

You will also benefit from experiential learning through real-world consulting projects and choose electives from various industry-specific analytics courses.

1. Apply business analytic tools and methods across various business functions (marketing, finance, supply chain, etc.) and industries (health care, finance, technology, etc.)
2. Leverage expertise in data management software (e.g., SQL) & statistical programming (e.g., R, Python) to go from data to decisions
3. Deliver insights and recommendations for organizations using cutting-edge descriptive, predictive, and prescriptive analytics techniques
4. Manage analytics projects, communicate professionally, and influence data-based changes within an organization

A bachelor’s degree from a regionally accredited U.S. institution or a comparable degree from an international institution is required. International applicants must have a degree comparable to a regionally accredited U.S. bachelor’s degree. You must have completed your undergraduate degree, or similar, before starting graduate school.

A minimum undergraduate grade-point average (GPA) of 3.00 on the equivalent of the last 60 semester hours (approximately two years of work) or a master’s degree with a minimum cumulative GPA of 3.00 is required. Applicants from an international institution must demonstrate strong academic achievement comparable to a 3.00 for an undergraduate or master’s degree. The Graduate School will use your institution’s grading scale. Do not convert your grades to a 4.00 scale.

Every applicant whose native language is not English, or whose undergraduate instruction was not in English, must provide an English proficiency test score. TOEFL scores must be submitted electronically via ETS. IELTS scores can be submitted electronically or by paper.  Our office address is: UW-Madison Graduate School, Office of Admissions, 232 Bascom Hall, 500 Lincoln Drive, Madison, WI 53706.  Your score will not be accepted if it is more than two years old from the start of your admission term. Country of citizenship does not exempt applicants from this requirement. Language of instruction at the college or university level and how recent the language instruction was taken are the determining factors in meeting this requirement.

Applicants are exempt if: