Carnegie Mellon University campus

Engineering

MS Artificial Intelligence and Innovation (MSAII) at Carnegie Mellon University

Carnegie Mellon University, United States

Programme overview

The MSAII combines a rigorous AI and machine learning curriculum with real-world team experience in innovation and entrepreneurship, preparing graduates to start a company or build new ventures inside an existing one.

Faculty: Kenneth C. Griffin School of Computer Science  |  Duration: 4 semesters plus a required summer internship  |  Intake: Fall  |  Study mode: full-time  |  Location: Pittsburgh, PA, United States

What you will study

Core curriculum of 84 units ending in the 36-unit Capstone Project (11-699), knowledge requirements covering machine learning, deep learning, NLP and generative AI, at least 36 units of electives, and an LTI practicum tied to the internship.

Official programme page

Application information

Entry requirements

Admissions requirements vary by programme and are published on the department's programme site; apply via the SCS Graduate Admissions process.

Intake: Fall

Duration: 4 semesters plus a required summer internship

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