OpenFieldMaster of Science in Machine Learning (MSML - School of Computer Science)
World-leading two-year master's curriculum delivered by the Machine Learning Department, covering deep neural architectures, probabilistic graphical models, reinforcement learning, and statistical learning theory.
Application checklist & requirements
These requirements reflect published university guidelines available at the last review. Review official department guidelines before submission.
- Academic degree / Prerequisites
- Minimum 3.7/4.0 GPA in Computer Science, Statistics, or Applied Mathematics
- English language proficiency
- TOEFL iBT 100+ (25+ in all sections) or IELTS 7.5
- Standardized testing (GRE/GMAT)
- General GRE scores accepted
- Thesis / Research statement
- Strong mathematical foundation in multivariable calculus, linear algebra, probability, and algorithmic complexity
- Recommendation letters
- Three academic referee letters
How much will it cost? How much funding is available?
- Financial support / stipend
- Departmental Graduate Teaching Assistantships (GTA) offering USD $30,000/year stipend + partial tuition remission
- Application fee
- USD $100
- Tuition / joining costs
- USD $53,500/year (offset by assistantships)
Dates and verification
- Application deadline
- December 8, 2026 (Fall 2027 entry)
- Last source review
- 2026-10-15
Important verification note
Facts reflect official Carnegie Mellon University documentation reviewed 2026-10-15. Admissions, funding allocations, and eligibility thresholds are evaluated by the university.
Reviewed 2026-10-15 · Editorial standards · Report an issue