Curriculum
The expertise of a top-ranked university. The comfort of your own couch.
Gain Knowledge and Make an Immediate Impact
The industry-informed MS in Business: Data, Insights, and Analytics curriculum prepares you to use data and AI to solve business problems and drive business decisions. You will learn to:
- 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.
- Use analytics tools like Python, R, SQL, Tableau, AWS, and Snowflake
- Use industry-standard platforms and AI-powered tools
Program at a Glance
- Part-time for two years
- 15 classes (30 credits) taken asynchronously
- 100% online
Sample Coursework & Timeline
Every course is expertly designed and accounts for current trends such as artificial intelligence, data visualization, robotic process automation, and ethics to ensure you’re prepared for career success. Coursework is asynchronous and takes place entirely online.
Year 1
Fall
- Business Stats Using Python
- Data Exploration Using SQL and AI
- Data Visualization & Cloud Technologies
Spring
- Advanced SQL & DW
- Business Process Automation Using AI
Summer
- Applied Analytics—Case Studies
- Python Fundamentals
Year 2
Fall
- Prescriptive Modeling and Optimization for Business Analytics
- Statistical Learning for Business Analytics
- Experiments & Causal Methods for Business Insights
Spring
- Machine Learning and AI for Business Analytics
- Analytics Consulting Project Management
- Text Mining and Generation for Business Analytics
Summer
- Pitfalls, Ethics, Communication, and Leadership in Business Analytics
- Master’s Capstone in Business Analytics
Be the AI Expert Employers Are Looking For
Artificial intelligence is changing the way businesses operate. Through this program, you’ll gain the practical expertise and AI fluency needed to stand out as a leader companies are eager to hire.
- Gain hands‑on experience with leading platforms and tools, including Snowflake, Databricks, UiPath, dbt, and generative AI tools.
- Use natural language to query, explore, and interact with data more intuitively.
- Leverage large language models (LLMs) to interpret and analyze unstructured text.
- Implement advanced methods like retrieval‑augmented generation (RAG) to adapt LLM responses for targeted datasets and real‑world business scenarios.
Learn from World-Class Faculty. Build Your Network.
Learn from instructors across disciplines, including marketing, operations, and risk management. Make industry connections and gain the skills to reach your career goals.
Cody Baldwin
Director, Master’s in Business Analytics
Professor Baldwin teaches courses in analytics, cloud computing, data warehousing, statistics, and programming. Prior to joining UW–Madison, he was an assistant professor at Brigham Young University–Hawaii, and before entering academia, a senior project manager at HP.
He earned a BS in information systems and operations management from George Mason University and an MBA from Virginia Tech. He is also a certified Project Management Professional (PMP), Scrum Master (CSM), and Lean Six Sigma Black Belt (ICBB).
Daniel Bauer
Hickman-Larson Chair in Actuarial Science, Chair of the Department of Risk and Insurance
Prior to joining UW–Madison, Professor Bauer shared his expertise with students at the University of Alabama and Georgia State University. He earned his master’s degree in statistics from San Diego State University and his PhD in mathematics from Ulm University.
Prof. Bauer’s research interests are at the interface of actuarial science, quantitative finance, and insurance economics.
Introduction to Analytics Course
Listen to an introduction about what you’ll learn in our Data Visualization and Cloud Technologies course from program director Cody Baldwin.
Data Visualization and Cloud Technologies with Cody Baldwin
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