MS Artificial Intelligence Engineering - Engineering and Technology Innovation Management at Carnegie Mellon University

Programme overview

The MSAIE-ETIM provides a foundation in artificial intelligence and machine learning within an engineering context, combining the MS ETIM curriculum with the College of Engineering MS in AI Engineering. A summer internship is required.

Faculty: College of Engineering | Department: Engineering and Technology Innovation Management | Duration: 16 months, three academic semesters, full-time | Intake: Fall (deadline January 31) | Study mode: full-time | Location: Pittsburgh, PA, United States

What you will study

The curriculum combines innovation and technology management coursework with AI and machine learning foundations.

Career pathways

The programme prepares graduates for leadership and innovation roles using AI and machine learning technologies.

Official programme page

Application information

Entry requirements

ETIM programme group (MS ETIM and MSAIE-ETIM): GRE scores are required (sent by ETS). Three letters of recommendation (at least one from professional experience and one from a professor at the last institution attended), resume, three essays, a video essay and transcripts are required, with a $75 fee. English proficiency for international applicants: TOEFL 100, IELTS 7 with at least 6 in each band, or Duolingo 105. Fall 2027 deadline January 31; second deadline August 31 for spring 2028 entry. MSAIE-ETIM applicants are encouraged if they hold a bachelor's degree in engineering, physical sciences or computer science, and should show proficiency in Python programming, probability and statistics, and linear algebra.

Requirements published at program group level.

Intake: Fall (deadline January 31)

Duration: 16 months, three academic semesters, full-time

Apply through the official page: https://www.cmu.edu/graduate/prospective/index.html

Explore more study programmes

Business