Learn how to use artificial intelligence techniques and numerical methods to tackle real-world scientific and engineering challenges for a future increasingly reliant on AI.
This new major focuses on the mathematical and computational tools and techniques that underlie the application of machine learning models to problems in science, medicine, and technology.
Scientific machine learning models learn from data while incorporating the rules of physics, biology, and engineering. This makes them more accurate, interpretable, and efficient for solving real-world problems. You’ll work with experienced, award-winning professors who will help you understand the power of mathematical modelling, scientific computing, and data-driven prediction.
You’ll gain the skills to model and analyze complex systems in science, medicine, and technology using machine learning and scientific computing along with practical expertise that can open doors to careers in research, tech, engineering, finance, and beyond.
