WashU will train AI engineers with a new master’s program

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. Source: https://source.washu.edu/2026/08/new-masters-in-artificial-intelligence-engineering-offered-at-washu/ Stay currentSee today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals. Tags: The Neuron With a keen intuition for emerging technologies, The Neuron brings over 5 years of deep expertise to the AI conversation. Coming from roots in software engineering, they've witnessed firsthand the transformation from traditional computing paradigms to today's ML-powered landscape. Their hands-on experience implementing neural networks and deep learning systems for Fortune 500 companies has provided unique insights that few tech writers possess. From developing recommendation engines that drive billions in revenue to optimizing computer vision systems for manufacturing giants, The Neuron doesn't just write about machine learning—they've shaped its real-world applications across industries. Having built real systems that are used across the globe by millions of users, that deep technological bases helps me write about the technologies of the future and current. Whether that is AI or Quantum Computing. Latest Posts by The Neuron: Machine learning speeds up quantum computer calculations August 12, 2026 Researchers can now stress-test language model safety guards August 12, 2026 Srirama Engineering is first Tirupati college to teach quantum August 12, 2026