University of Minnesota Twin Cities
MS in Business Analytics: AI in Business Track
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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
Lead as Data Analyst in Business AI with machine learning expertise
- 1. Business Intelligence Analyst
- 2. AI Business Consultant
- 3. Data Analytics Manager
- 4. Predictive Analytics Specialist
What You'll Learn
- Apply AI and machine learning techniques to solve business problems.
- Develop predictive models for forecasting trends and optimizing operations.
- Analyze big data to derive actionable business insights.
- Communicate data-driven recommendations to stakeholders.
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 Accenture.
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: 2β3
- 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+)
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