Key Takeaways
- Carnegie Mellon University launched the first US Bachelor of Science in Artificial Intelligence in Fall 2018, built on four years of curriculum development across six SCS departments.
- CMU awarded 16 bachelor’s degrees in AI in the 2020-2021 academic year, up from two the previous year, as annual enrolment passed 100 students for the first time.
- CMU’s AI degree program has grown substantially since its 2018 launch, with average graduate salaries reported at $160,688 and major employers including Amazon, Google and NVIDIA. Carnegie Mellon University handed out just two AI bachelor’s degrees in 2019-2020, then sixteen the following year, a trajectory that captures how quickly a credential that didn’t exist in the US before 2018 became one of the most sought-after in computing. CMU built the country’s first Bachelor of Science in Artificial Intelligence from scratch, drawing on six departments and decades of institutional history stretching back to the 1956 origins of the field itself. The result is a degree program whose graduates now command average starting salaries of $160,688 and land at employers including Amazon, Google, and NVIDIA.
Pioneering a Dedicated AI Path
Carnegie Mellon University created the first dedicated undergraduate AI degree in the United States in Fall 2018, after roughly four years of deliberation and an intensive development phase beginning in Fall 2017. The move was a direct response to employer demand and student interest that existing computer science programmes were not structured to meet. CMU’s School of Computer Science had the institutional depth to attempt it: the university traces its AI work to the first AI computer program in 1956 and the founding of the world’s first Machine Learning Department in 2006.
What the Curriculum Covers
The BSAI draws faculty from six SCS departments, including the Machine Learning Department, Language Technologies Institute and Robotics Institute. Core coursework spans computer science, mathematics, statistics, computational modelling, machine learning and symbolic computation. Ethics and social responsibility are mandatory, not elective, reflecting the programme’s stated focus on applying AI to healthcare, transportation and education. Students are expected to frame real-world problems as AI problems, select and design appropriate techniques, and work with data involving vision, language and perception.
The interdisciplinary structure is worth noting for enterprise recruiters: graduates have been deliberately exposed to the breadth of AI application domains not just model development.
Enrolment and Degree Numbers
Enrollment has expanded since the program’s launch, and the degree conferral numbers are sharper: CMU awarded two AI bachelor’s degrees in 2019-2020, then 16 in 2020-2021.
Students enter through the School of Computer Science and declare AI as their major after completing first-year mathematics and computer science requirements, which means the pipeline into the programme is self-selecting for students who have already cleared a quantitative bar. For employers, that filter matters. CMU’s placement record reflects it.
Where Graduates Land
CMU AI graduates command competitive salaries, with Amazon, Google, Jane Street, and NVIDIA among the employers frequently listed by graduates. The program’s interdisciplinary structure, spanning six SCS departments with mandatory grounding in ethics and social responsibility, is part of what those employers are recruiting for: graduates arrive having worked across vision, language and decision-making problems rather than a single narrow specialization, which maps directly onto the kind of applied AI roles now opening up in industry.
Originally published at https://autonainews.com/carnegie-mellons-ai-bachelors-program-grows-from-2-to-16-graduates/
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