Carnegie Mellon University
MS in AI Systems Management (AIM)
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: Applicants must hold a bachelor's degree with a minimum GPA of 3.0, foundational knowledge in calculus, statistics, and programming (e.g., Python), and evidence of undergraduate-level background in statistics or computer science.
About This Program
This 12-month program trains the next generation of AI deployers and strategists to address organizational and societal challenges.
Career Outcomes
Advance as Product Analyst in Business AI with AI strategy expertise
- 1. AI Strategy Consultant
- 2. AI Governance Manager
- 3. AI Product Manager
- 4. Director of AI Implementation
What You'll Learn
- Develop AI strategies for organizational implementation and governance.
- Apply decision-making frameworks under uncertainty using AI tools.
- Evaluate financial and policy impacts of AI deployment.
- Design ethical AI systems with focus on trends and societal effects.
Curriculum Highlights
The curriculum covers programming, statistics, model development, AI strategy, and a team-based capstone project with real-world clients.
Top Employers
Top employers include Google, Meta, Microsoft, Amazon, and government agencies adopting AI systems.
Admissions
Applicants must hold a bachelor's degree with a minimum GPA of 3.0, foundational knowledge in calculus, statistics, and programming (e.g., Python), and evidence of undergraduate-level background in statistics or computer science.
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: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 102+ with no subscore below 25 / IELTS 7.5+ with no band below 7.5)
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