University of Wisconsin–Madison
Certificate in Business Analytics and AI
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $13.5K in total tuition, the Certificate in Business Analytics and AI sits about 18% above the $11.4K average for AI certificate programs in our database — placing it in the 70th percentile on cost among the 236 we track at this level.
Admission Snapshot
Typical admitted student: A bachelor's degree in business, analytics, computer science, or a related field with a minimum GPA of 3.0 is required; relevant work experience or prerequisite knowledge in statistics and programming is often preferred.
About This Program
A graduate-level certificate designed for students to develop a business mindset for making data-driven decisions using machine learning and AI tools. Coursework concentrates on MLOps/AI Engineering and AI Engineering / Applied AI. Most students complete it in about 1 year.
Estimated total tuition is $13.5K, above the $11.4K average for AI certificate programs in our database and in the 70th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Build machine learning skills to advance as Data Scientist in Business AI Graduates frequently move into roles such as Data Scientist, with reported salaries around $105,000.
Career Outcomes
Build machine learning skills to advance as Data Scientist in Business AI
- 1. Business Intelligence Analyst
- 2. AI Strategy Consultant
- 3. Data Analytics Manager
- 4. Predictive Analytics Specialist
What You'll Learn
- Apply machine learning algorithms to business datasets for predictive insights.
- Develop AI strategies to optimize operations and supply chain management.
- Analyze big data using visualization and statistical tools for strategic decisions.
- Evaluate ethical implications of AI deployment in business contexts.
Curriculum Highlights
The program includes a foundation in data technology and visualization, with coursework in predictive modeling, causal methods, and artificial intelligence for business.
Top Employers
Top employers include consulting firms like McKinsey and Deloitte, tech companies like Google and Amazon, and financial institutions like JPMorgan Chase.
Admissions
A bachelor's degree in business, analytics, computer science, or a related field with a minimum GPA of 3.0 is required; relevant work experience or prerequisite knowledge in statistics and programming is often preferred.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2–3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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