Professional Master's in Artificial Intelligence

Advance your career in artificial intelligence.

Launching fall 2026

The professional master’s in AI prepares engineers, applied scientists and technical professionals for career advancement in advanced technical leadership roles in the rapidly growing ﬁeld of artiﬁcial intelligence engineering. The core curriculum addresses a breadth of areas central to AI engineering expertise including machine learning, statistical learning, data mining and ethics.

The professional master’s is��available on-campus at 91�Թ��, but you can also��pursue a master’s in AI online with our Coursera option.��

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MS-AI Curriculum & Requirements

You will complete a total of 30 credits of graduate-level coursework, including courses in ethics, interdisciplinary topics outside of computer science, and nine credit hours of electives in a variety of AI sub-disciplines. You must complete the program within four years.

Degree requirements Admissions requirements

Required Course Examples

You will choose two��Foundations of AI courses and two��AI Core courses. Please see the��degree requirements page for the most up-to-date course lists.��

Convex Optimization and Its Applications
Machine Learning
Probabilistic Models of Human and Machine Learning
Theoretical Foundations of Autonomous Systems
Computer-Aided Veriﬁcation
Data Mining
Computer Vision
Natural Language Processing
User Centered Design and Development
Neural Networks and Deep Learning
Recommender Systems

Interdisciplinary Course Examples

In addition to three elective courses in a variety of AI sub-disciplines, you will also complete two interdisciplinary courses in topics like:��

Formal Methods in Philosophy
Differential Equations and Dynamical Systems
Online Communities
Digital Identity
Topics in Geographic Skills: Machine Learning & Spatial Data
Unstructured and Distributed Data Modeling and Analysis (business analytics)
Security Analytics with Python and Machine Learning (business analytics)

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