Marquette University
MBA in Data Science & AI
How this program compares
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 from an accredited institution with a minimum GPA of 3.0 is required, along with professional work experience often preferred for MBA programs. GMAT or GRE scores may be required or waived based on experience.
About This Program
This STEM-designated program prepares students for responsible managerial positions by combining broad business professional education with specialized training in analytics and artificial intelligence.
Career Outcomes
Advance as Data Scientist in Cross-Industry AI with machine learning expertise
- 1. AI Product Manager
- 2. Data Analytics Director
- 3. Business Intelligence Consultant
- 4. Chief Data Officer
What You'll Learn
- Apply data science techniques to solve business problems
- Develop AI-driven strategies for competitive advantage
- Analyze large datasets for actionable business insights
- Lead cross-functional teams in AI and analytics projects
Curriculum Highlights
The curriculum spans 31.5 to 42 credits, covering business essentials, strategy, and leadership, with a specialized 12-credit track in data science and AI.
Top Employers
Graduates work at companies like Google, Amazon, McKinsey, and Deloitte.
Admissions
A bachelor's degree from an accredited institution with a minimum GPA of 3.0 is required, along with professional work experience often preferred for MBA programs. GMAT or GRE scores may be required or waived based on experience.
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 or required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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