Washington University in St. Louis campus

Engineering

MS Artificial Intelligence Engineering at Washington University in St. Louis

Washington University in St. Louis, United States

Programme overview

The Master of Science (MS) in Artificial Intelligence (AI) Engineering is intended for students interested in developing the core engineering skills that will allow them to build and operate sophisticated AI systems in support of a broad range of applications. This requires deep knowledge of the algorithms on which those systems are based and sophisticated computational skills to implement those algorithms and select and operate the proper computing infrastructure.

Faculty: McKelvey School of Engineering  |  Study mode: full-time  |  Location: St. Louis, MO, United States

What you will study

Required courses include CSE 4102 Introduction to Artificial Intelligence; CSE 4107 Introduction to Machine Learning; CSE 5107 Machine Learning; ESE 4170 Introduction to Machine Learning and Pattern Classification; SDS 4430 Statistical Learning; CSE 4027 Introduction to Natural Language Processing.

Official programme page

Application information

USD 69,190 a year (2026-27). McKelvey School of Engineering full-time graduate tuition (9-21 units, $34,595 per semester) for 2026-27; master's students pay this rate; part-time master's rate is $2,450 per unit. Excludes activity fee, health and wellness fee and health insurance. Source

Arts & Sciences master's programmes set their own deadlines, generally mid-December or mid-January.

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