Master's in Machine Learning - Applied Study
The Master's in Machine Learning - Applied Study program is being sunset and is no longer accepting applications, effective Fall 2025.
The information below is for the reference of those students already enrolled in the program.
The curriculum for the Master's in Machine Learning - Applied Study requires six core courses, three electives, an internship and professional development. The coursework component is the same between different versions of the master's. Refer to the Machine Learning Master's Curriculum for full information.
Summer Before Year One
- Preparation for internship search.
Year One, Fall Semester
- 10-701: Intro to Machine Learning
- 36-700: Statistics
- One Elective
- Professional Development
- Internship Search
Year One, Spring Semester
- Two Core Courses
- One Elective
- Professional Development
- Internship Search
Year One, Summer Semester
- Internship Related to Machine Learning
Year Two, Fall Semester
- 10-718: Machine Learning in Practice
- One Core Course
- One Elective
- Professional Development
- Job Search
The M.S. in Machine Learning - Applied Study does not provide financial support and the student must pay tuition, student fees and living expenses on their own.
See the financial information page for costs.
The Master's in Machine Learning - Applied Study program is no longer accepting applications.
Prospective applicants are encouraged to instead consider the 16-month, coursework-based M.S. in Machine Learning or the 20-month, research-based M.S. in Machine Learning - Advanced Study programs.
Is it possible to complete the degree online?
No. At this time, we do not offer online or distance-learning classes. You must be physically present in Pittsburgh and able to attend classes on campus to complete the program.
Is it possible to complete the degree part-time?
Yes, you can study part-time as long as you can attend the classes, which are generally held during the day on weekdays.
International students should be aware that student visas require students to complete the program full-time and finish the program by the end of their third semester (in December).
Where are your graduates working?
The Career and Professional Development Center compiles post-graduate salaries and destination information about all graduates.
Where can I find more information about the program?
You can find additional information in the Machine Learning Master's Handbook.