Northwestern University
MBA Courses in Artificial Intelligence and Machine Learning
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $136.3K in total tuition, the MBA Courses in Artificial Intelligence and Machine Learning sits about 221% above the $42.4K average for AI master's programs in our database β placing it in the 98th percentile on cost among the 531 we track at this level.
Admission Snapshot
Typical admitted student: 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.
About This Program
Technical coursework integrated into the Kellogg MBAi program to bridge the gap between advanced technology and strategic business leadership. Coursework concentrates on MLOps/AI Engineering and AI Engineering / Applied AI. Most students complete it in about 1.5 years.
Estimated total tuition is $136.3K, above the $42.4K average for AI master's programs in our database and in the 98th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Excel as Product Analyst in Business AI with machine learning expertise Graduates frequently move into roles such as Product Analyst, with reported salaries around $130,000.
Career Outcomes
Excel as Product Analyst in Business AI with machine learning expertise
- 1. AI Strategy Manager
- 2. Machine Learning Product Manager
- 3. Data-Driven Management Consultant
- 4. AI Operations Director
What You'll Learn
- Design and deploy machine learning and AI solutions to solve real-world business problems and advance organizational goals
- Integrate data engineering and data science to maximize organizational data value and competitive intelligence
- Develop strategic frameworks for implementing AI-driven automation across business operations and workflows
- Lead cross-functional analytics teams and communicate AI/data insights persuasively to executive stakeholders
Curriculum Highlights
The joint-degree structure features specialized courses in computational thinking, fintech, and the frontiers of science and technology.
Top Employers
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.
Admissions
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.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: MBA
- GRE/GMAT: Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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