Name of Course & University | Master’s in Machine Learning at Carnegie Mellon University |
Location | Pittsburgh, USA |
Type of Degree | Master’s Programme (Postgraduate) |
Course Duration | 1 year |
Course Fee | $49872
INR 35,78,864 |
Mode of Teaching | Full-time Classroom teaching (for international students) |
*$1=INR 70 (approximately)
All you Need to Know
The Master’s in Machine learning program at Carnegie Mellon University (CMU) aims at helping aspirants research and analyze the theoretical foundations of the diverse field of machine learning, as well as intelligently handle large complex data in many disciplines such as statistics, planning, databases, computer systems and else.
Machine Learning Department (MLD) at Carnegie Mellon has also been attributed to launch the world’s first Ph.D. program in Machine Learning. As of 2019, the QS world rankings place CMU at the 46th rank globally.
Duration & Location of Master’s in Machine Learning at CMU
The Master’s program at CMU is to be completed within 3 semesters for international students, the last of which is to be devoted to the internship.
The exact address is as below-
Machine Learning Department,
School of Computer Science,
5000 Forbes Avenue
Gates Hillman Center, 8th Floor
Pittsburgh, PA 15213
Course Details of Master’s in Machine Learning at CMU
The curriculum for the Master’s in Machine Learning consists of-
- 4 Set Core courses-
- Machine Learning
- Advanced Machine Learning
- Data Analysis
- Probability/Mathematical Statistics
- 3 Menu Core Courses-
- Deep Reinforcement Learning
- Probabilistic Graphical Models
- Convex Optimization
- (Any) 2 Electives from the following-
- Deep Reinforcement Learning
- Topics in Deep Learning
- Probabilistic Graphical Models
- Convex Optimization
- Machine Learning with large datasets
- Special topics in Machine Learning
- Algorithms
- Graduate Artificial Intelligence
- Multimedia Databases and Data Mining
- Algorithms in the Real World
- Regression Analysis
- Advanced Probability
- Advanced Statistical Theory
- Independent Study (under the ML Core Facility)
Apart from this, the students are also required to complete a practicum (internship or research related to Machine Learning) during the summer.
All in all, the programme majorly consists of coursework, offering the students the opportunities to engage in research and further studies.
Fees & Funding
The MS in Machine Learning program does not provide any financial support as such. Applicants must pay tuition, student fees, and living expenses on their own.
However, there are external support sources available, such as organizations and philanthropists’ donations, sponsorships or loans.
Considering the expenses of living and tuition, the university offers employment to students living on campus. Teaching assistantship is an option that students may consider after completing their first semester.
Cost of Study
Fees for 2019-20 Batch | Per Semester Fee | Annual Fee |
Tuition | $24,500 | $49.000 |
Technology | $215 | $430 |
Activities | $109 | $218 |
Transportation | $112 | $224 |
There are no tuition fees charged in the summer semester since it is the period of working on the practicum. However, the practicum may be paid, with a stipend determined by the hiring company.
The full-time tuition rate is charged to students taking 36 or more units in a semester. Moreover, the rates are said to increase by 5% every year, implying that the new students must factor in an equal amount while calculating the fees to be paid.
Cost of Living
Living & Miscellaneous | $21,875 |
Health Insurance (May vary upon the individual’s choice) | $2,573 |
Books/Supplies | $2,212 |
Additionally, the students must bring in their own laptops or computers.
Eligibility
In order to be eligible for admission to Master’s in Machine Learning at CMU, the applicant must meet the following conditions-
- The applicant must hold an undergraduate degree in Computer Science or Mathematics
- The student must possess a solid grasp of complex theory and programming skills with experience in R, and Java and Python, along with a solid math background, especially in probability/statistics, linear algebra or calculus
- The applicant must have an undergraduate overall GPA of a minimum of 3.9 on a 4.0 point scale or 9.6 on a 10.0 point scale
- The student’s GRE Quantitative score should be a minimum of 169 points broken down as-
- Verbal: 161 points
- Analytical Writing: 4.4
- Candidates must have scored 111 points in TOEFL
- The applicant must present 3 Letters of recommendation (2 of which should be from the faculty of your recent institution
- The student must submit hard copies of official transcripts, and proof of degree completion before the first semester
- A Statement of Purpose, consisting of a 2-page long essay must be submitted
- The applicant must present his Resume/CV at the time of application
Admission process & Application Fees
The Machine Learning Department uses the School of Computer Science (SCS) Graduate Online Application procedure. Applications are accepted only once a year.
Following are the important dates for applying for the Fall 2020 session-
- Applications open: 20th August 2019
- Early Application Deadline (with a reduced fee which is $75): 2 December 2019 (noon *EST)
- Final Application Deadline (at a fee of $125): 12 December 2019 (noon *EST)
- The results are to be notified in February 2020
(*EST stands for Eastern Standard Time)
It must be noted that if you need to retake your TOEFL and/or GRE exam, the last date for the same would be 22 November 2019.
Career Specializations with MS in Machine Learning at CMU
With a degree in Machine Learning, graduates are open to a wide range of fields, right from analysts to software engineers, developers and else.
The Career and Professional Development Centre of CMU provides students with guidance and support concerning career modeling, CV making to informing about career fairs and other opportunities. Graduates in Machine Learning at CMU have been placed at organizations such as-
- Amazon
- Barclays
- Cisco
- Citigroup
- JP Morgan
- IBM
To learn more about the course and the college, you may collect the official information here. Keep following AI Monks to stay updated with information related to Machine Learning and more.
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