University of Minnesota Twin Cities

How this program compares

University of Minnesota Twin Cities's MS in Business Analytics – AI in Business lists about $51.0K total tuition — about 19% above the $42.9K AI master's average (70th percentile in our data). It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: A bachelor's degree in any field with a minimum GPA of 3.0 is required, along with quantitative coursework in statistics, calculus, or programming; relevant work experience is preferred but not mandatory.

About This Program

This intensive program teaches students to extract business insights through creative data analysis. It prepares graduates to lead in a data-driven world using specialized AI tools. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1 year.

At roughly $51.0K total, University of Minnesota Twin Cities's MS in Business Analytics – AI in Business sits above the $42.9K average among AI master's programs we track — the 70th percentile on price. Applicants should weigh that premium against the program's outcomes and brand.

It is one of 12 AI-related programs we track in Minnesota, of which about 67% offer an online option. On price, it comes in higher than about 75% of the Minnesota programs in our data, where typical tuition runs near $32.8K.

Graduates frequently move into roles such as Data Analyst, with reported salaries around $115,000.

Apply machine learning models to predict business trends and customer behavior.

Career Outcomes

Graduates of University of Minnesota Twin Cities's MS in Business Analytics – AI in Business most often target Data Analyst roles, where reported compensation runs around $115,000. Its focus on Machine Learning and AI Engineering / Applied AI maps directly to how employers in business ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 25% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Business Intelligence Analyst
• 2. AI Strategy Consultant
• 3. Data Analytics Manager
• 4. Predictive Modeling Specialist

What You'll Learn

• Apply machine learning models to predict business trends and customer behavior.
• Leverage AI tools for prescriptive analytics and operational optimization.
• Visualize complex data to communicate insights to business stakeholders.
• Integrate ethical AI practices into data-driven decision-making.

Curriculum Highlights

The 45-credit curriculum includes core courses in statistics and data management. The AI track offers specialized electives in natural language understanding and generative AI for business.

Top Employers

Graduates work at companies like Google, Amazon, Deloitte, and McKinsey.

Admissions

Admission to University of Minnesota Twin Cities's MS in Business Analytics – AI in Business generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions