IL

MBA Concentration in AI
On-Campus

Northwestern University

MBA Courses in Artificial Intelligence and Machine Learning

  • Evanston
About This Program

Technical coursework integrated into the Kellogg MBAi program to bridge the gap between advanced technology and strategic business leadership.

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What You'll Learn

Students learn to lead digital transformation by understanding how machine learning and robotics drive innovation across global industries.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The joint-degree structure features specialized courses in computational thinking, fintech, and the frontiers of science and technology.
Typical Course Topics
1. Machine Learning for Business Strategy 2. Data Analytics and Predictive Modeling 3. Generative AI and Large Language Models 4. AI-Driven Business Transformation 5. Corporate Finance and Financial Analytics 6. Operations Management and Process Optimization
Program Specializations:
MLOps/AI Engineering
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree with a minimum GPA of 3.0 and typically need GMAT or GRE scores (often 550+ GMAT or 300+ GRE). Prior work experience is strongly preferred, and applicants should demonstrate quantitative aptitude and interest in AI/business applications.
Academic Requirements (Typical)

• Degree Required: MBA
• GRE/GMAT: Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Excel as Product Analyst in Business AI with machine learning expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
AI/Machine Learning Business Leadership: $130,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Strategy Manager 2. Machine Learning Product Manager 3. Data-Driven Management Consultant 4. AI Operations Director
Top AI Employers (Industry-Wide):
Top employers include Google, Amazon, Microsoft, McKinsey & Company, Goldman Sachs, and major financial institutions and technology firms seeking leaders who combine business acumen with AI expertise.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 136,305
Format
On-Campus
Specializations
MLOps/AI Engineering
Official Resources
Program Website
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