The MS in Machine Learning is part of CMU's Machine Learning Department, which is made up of a multi-disciplinary team of faculty and students across several academic departments. Machine learning is dedicated to furthering the scientific understanding of automated learning, and to producing the next generation of tools for data analysis and decision making based on that understanding.
Today's demand for expertise in machine learning far exceeds the supply, and this imbalance will become more severe over the coming decade. The MS program in Machine Learning offers students with a Bachelor's degree the opportunity to improve their training with advanced study in Machine Learning. Incoming students should have good analytic skills and a strong aptitude for mathematics, statistics, and programming. An undergraduate degree in computer science is not required.
The program consists primarily of coursework, with a very limited research component. Students that complete the MS program are welcome to apply to the PhD program, but will not receive preferential treatment.
The Carnegie Mellon University mission is to create a transformative educational experience for students focused on deep disciplinary knowledge; problem solving; leadership, communication, and interpersonal skills; and personal health and well-being.
To cultivate a transformative university community committed to :
- attracting and retaining diverse, world-class talent;
- creating a collaborative environment open to the free exchange of ideas, where research, creativity, innovation, and entrepreneurship can flourish
- ensuring individuals can achieve their full potential.
To impact society in a transformative way — regionally, nationally, and globally — by engaging with partners outside the traditional borders of the university campus.
Get more detailsVisit official programme website
- Introduction to Machine Learning
- Statistical Machine Learning
- Intermediate Statistics
- Probabilistic Graphical Models
- Convex Optimization
- Multimedia Databases and Data Mining
- Algorithms in the Real World
- 24 months
Start dates & application deadlines
- Apply before
DisciplinesMathematics Statistics Machine Learning View 319 other Masters in Statistics in United States
- Test Scores
- Statement of Purpose
- Letters of Recommendation
International50100 USD/yearTuition FeeBased on the original amount of 50100 USD per year and a duration of 24 months.
National50100 USD/yearTuition FeeBased on the original amount of 50100 USD per year and a duration of 24 months.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.
Updated in the last 9 months
Check the official programme website for potential updates.