A B- average, equivalent to a GPA of 2.7, will be the academic benchmark for students pursuing a new master’s degree in artificial intelligence engineering at the WashU McKelvey School of Engineering. Beginning in fall 2027, the program will prepare graduate students for a workforce demanding expertise in building and refining AI systems.
The 30 credit hour degree requires 18 hours of core coursework and allows for 12 hours of electives, designed to provide a deep understanding of the computational techniques underpinning AI. The Department of Computer Science & Engineering aims to position graduates for high-demand positions in the field.
AI Engineering Curriculum: 30 Credit Hour Requirements
The Department of Computer Science & Engineering structured the curriculum with 18 credit hours dedicated to core coursework, establishing a foundation in the fundamental techniques of AI system development. Students will then tailor their education through 12 credit hours of elective options, allowing specialization within the rapidly evolving field.
Applications to the program, beginning in fall 2027, reflect a deliberate timeframe for curriculum refinement and faculty preparation before the first cohort enters the workforce. The McKelvey School of Engineering anticipates the program will address an urgent need for professionals capable of both developing and improving artificial intelligence systems, a skill set increasingly valued by industry.
See today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals.
