University of Minnesota Twin Cities

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Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

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.

Career Outcomes

Thrive as Data Analyst in Business AI with machine learning expertise

• 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

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.

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: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)