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Curriculum


Explore Courses and Career-Defining Experiences

Earn your 1-year MS in Business Analytics and carve out your path as an analytics leader.

  • 3-semester intensive curriculum
  • Build career-ready analytics skills
  • Gain hands-on experience

Whether you majored in business, statistics, economics, computer science, engineering, or a nonbusiness field, a degree in business analytics offers a way to link your undergraduate studies to business.

STEM-Designated Program

This program delivers a STEM-designated business analytics master’s degree, using a multidisciplinary approach to blend science, technology, and data analysis.

STEM designation also benefits international students and their ability to work in the United States upon graduation.

students working over computer screens

Data to decisions

Harness the power of analytical tools to provide insight and actionable recommendations in any business setting.

Industry professionals talking at meetup

Real-world learning

Learn through real-world experiences and explore various career paths through site visits, guest speakers, and case competitions.

Stand Out With Skills Gained in Our Consulting Practicum

Learn from the best in the business analytics field in Wisconsin and across the globe. Complete a consulting practicum with a real corporate client in the second semester. 

Companies give you live analytical projects where you work to define problems. 

Specialize Your Degree With Two Optional Tracks

Digital Marketing

Prepare for a career in consumer-centric marketing, social media, SEO, mobile, website application, and digital advertising. Immerse yourself in both the implementation of digital marketing and the key quantitative aspects of the field.

Take all core curriculum courses plus 9 credits focused on digital marketing.

Sample courses:

  • MKT 745 Digital Marketing Analytics
  • MKT 755 Marketing in the Digital Age
  • MKT 815 Marketing Analytics

The prerequisite of MKT 300 or GB 311 (3 credits) must be completed in fall or summer terms or prior to enrolling at UW–Madison through your undergraduate studies. Marketing related work experience would also satisfy this prerequisite.

Digital risk and insurance technology

Prepare for a career managing digital risks or leading digital transformation in the risk and insurance industry. Gain tools to mitigate cyber-attacks, malware, and other novel exposures, and dive into the ever-changing technological landscape of insurance, a business area ripe with innovation.

Take all core curriculum courses plus 9 credits focused on digital risk.

Sample courses:

  • RMI 705 Risk Management and Technologies in a Digital Age
  • MHR 765 Creative Destruction Lab Risk Classes (1 credit in fall, 2 credits in spring)
  • Act Sci 657 Risk Analytics
  • Gen Bus 745 Robotic Process Automation

Bootcamp + Foundations Semester + Applications Semester

Programming Bootcamp

Learn the basics of statistics and programming and grow the foundational skills needed in a business analytics career

Foundations Semester

Take core method classes: machine learning, data technology, data visualization, experimental design, prescriptive modeling, and project management.

Applications Semester

Take what you’ve learned and apply it to hands-on projects including the consulting practicum and elective coursework.

Sample Curriculum

Required Courses

Statistics and Programming Bootcamp
Machine Learning
Data Visualization
Prescriptive Modeling and Optimization
Experiments and Causal Methods for Business Insights
Data Technology
Current Topics in Business Analytics
Project Management
Consulting Practicum

Electives

Health Analytics
Security Analysis
Marketing Research
Enterprise Systems and Supply Chain Management
Marketing Analytics
Compensation: Theory and Administration
Diversity in Organizations
Business Strategy
Supply Chain Analytics
Real Estate Finance
Techniques of Real Estate Valuation
Risk Analytics and Behavioral Science
Risk Financing Techniques
Experiential Learning Gives You Career-Ready Skills

Jensen Sang
“I am driven by leveraging analytical tools to have data guide business decisions. It is exciting to be learning R and Python. I’m looking forward to applying the tools into business applications.”
Jensen Sang (MS ’20)
Analyst, Project/Program Management, Dell Technologies

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