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Program Overview
Business: Analytics, MS
The University of WisconsinMadison's School of Business offers a Master of Science in Business Analytics. Founded in 1900, the School of Business has a long history of entrepreneurial spirit and a strong reputation for academic excellence.
Program Overview
As a student in the School of Business, you will be part of a highly ranked program that equips you to meet both academic and career challenges. The Master of Science in Business Analytics is designed to provide students with the skills to turn data into decisions and leverage data to answer complex business questions.
Curriculum
The Business Analytics curriculum includes the following topics:
- Machine learning
- Data visualization
- Data technology
- Statistics
- Programming
- Experimental design
- Optimization
- Cloud computing
- Artificial Intelligence
Students will also benefit from experiential learning through real-world consulting projects and can choose electives from various industry-specific analytics courses.
Admissions
The admission requirements for the Master of Science in Business Analytics include:
- Undergraduate degree in a quantitative field (such as business, computer science, economics, engineering, mathematics, statistics, or other quantitative fields)
- Resume
- Response to essay questions
- Interview (by invitation only)
- TOEFL or IELTS test score (waived for students who have completed a four-year undergraduate degree and/or master's degree with instruction in English)
Funding
The Bursar's Office provides information about tuition and fees associated with being a graduate student. Resources to help students afford graduate study may include assistantships, fellowships, traineeships, and financial aid.
Program Requirements
The Master of Science in Business Analytics requires:
- Minimum of 30 credits
- Minimum of 24 residence credits
- Minimum of 15 graduate-level coursework credits
- Overall graduate GPA of 3.00
- No formal examination is required
- No language requirement
Required Courses
The program requires 22 core credits and 8 credits of electives. The core courses include:
- Foundations of Statistical Learning for Business Analytics
- Machine Learning and Artificial Intelligence Models for Business Analytics
- Statistics and Programming for Business Analytics
- Data Visualization for Business Analytics
- Prescriptive Modeling and Optimization for Business Analytics
- Experiments and Causal Methods for Business Insights
- Advanced SQL & Data Warehousing
- Data Technology for Business Analytics
- Consulting Skills Bootcamp
- Cloud Technology for Business Analytics
- Consulting Project Capstone
- Current Topics in Business Analytics and Artificial Intelligence
Electives
Students can choose 8 credits from a variety of electives, including:
- Regression and Time Series for Actuaries
- Health Analytics
- Risk Analytics
- Business Valuation
- Robotic Process Automation
- Text Analytics and Business Application
- Marketing Research
- Information Technology in Supply Chains
- Digital Marketing Analytics
- Marketing in a Digital Age
- Social Media Marketing
- Bayesian Machine Learning for Marketing
- Marketing Analytics
- Current Topics in Marketing
- Compensation: Theory and Administration
- People Analytics
- Diversity in Organizations
- Creative Destruction Lab I and II
- Business Strategy
- Product Management
- Supply Chain Analytics
- Project Management
- Real Estate Finance
- Techniques of Real Estate Valuation
- Risk Analytics and Behavioral Science
- Risk Financing Techniques
- Risk Management and Technologies in a Digital Age
Policies
The Graduate School's Academic Policies and Procedures serve as the official document of record for Graduate School academic and administrative policies and procedures. Programs may set more stringent policies than the Graduate School.
Prior Coursework
With program approval, up to 6 credits of coursework at the graduate level from an AACSB-accredited school may transfer toward the degree. Coursework earned seven or more years prior to admission to a master's degree is not allowed to satisfy requirements.
Probation
Refer to the Graduate School: Probation policy.
Advisor / Committee
Refer to the Graduate School: Advisor policy.
Credits Per Term Allowed
15 credit maximum. Refer to the Graduate School: Maximum Credit Loads and Overload Requests policy.
Time Limits
Refer to the Graduate School: Time Limits policy.
Grievances and Appeals
The Graduate School has procedures for students wishing to appeal a grievance decision at the school/college level.
Professional Development
The Graduate School offers professional development resources to build skills, thrive academically, and launch careers. During the program, students will have access to the Career Management Center and its services to help develop professional and career interests.
Learning Outcomes
The program learning outcomes include:
- Apply business analytic tools and methods across various business functions and industries.
- Leverage expertise in data management software and statistical programming to go from data to decisions.
- Deliver insights and recommendations for organizations using cutting-edge descriptive, predictive, and prescriptive analytics techniques.
- Manage analytics projects, communicate professionally, and influence data-based changes within an organization.
Accreditation
The program is accredited by AACSB InternationalThe Association to Advance Collegiate Schools of Business. Accreditation status: Accredited. Next accreditation review: 20262027.