$59,960 /Yr
On-campus
full_time
Master of Science [M.S] Machine Learning
- The Carnegie Mellon University offers an M.Sc in Machine Learning program for a duration of 2 years.
- It is a Full-time course.
- 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.
- Its 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 also 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 Ph.D. program, but will not receive preferential treatment.
- Job opportunities after the M.Sc in Machine Learning and the average salary goes up to 1,12,357 USD.
Tution & Application Fees
| Year | Year 1 | Year 2 |
| Tuition Fees | $57560 | $57560 |
| Others Fees | $2400 | $2400 |
| Total Fees | $59960 | $59960 |
Examinations
| Exam Type | Exam Name | Score | Out of Score | Exam Level |
|---|---|---|---|---|
| TOEFL | Test of English as a Foreign Language | 102 | 120 | 3 |
| IELTS | International English Language Testing System | 7.5 | 9 | 3 |
Academic Eligibility:
- The average GPA of the students in this program is 3.0.
Work Experience:
- Work experience is not required.
Eligibility:
- A bachelor's degree from a regionally accredited college or university.
- A record of scholarly achievement at the undergraduate level. Applicants are expected to have a 3.0 (based on a 4.0 scale) cumulative undergraduate grade point average and a 3.0 in their major field of study.
Language Requirments: