Master of Science (M.S.) in Artificial Intelligence – Energy Science, Technology & Policy
The MSAIE – EST&P degree blends the esteemed EST&P curriculum with the College of Engineering MS-AIE program, offering a solid foundation in artificial intelligence and machine learning within an engineering framework. Graduates from this innovative program will be uniquely equipped to lead and drive advancements in the energy sector, applying AI and machine learning technologies to tackle complex energy challenges and develop cutting-edge solutions.
Students who have passion for the intersection of energy and artificial intelligence engineering are encouraged to apply to this program.
Applicants should be able to demonstrate proficiency in the following areas:
Programming: Experience in programming, preferably in Python, for data analysis.
Probability/Statistics: Knowledge of topics such as probability, distributions, joint and conditional probability, independence, marginalization, Bayes' heorem, and maximum likelihood estimation.
Linear Algebra: Understanding of concepts like matrix operations, linear transformations, projections, matrix derivatives, and eigendecomposition.
For non-native English-speaking applicants, English proficiency is required.
EST&P Curriculum - 24 untis
o 39-613 Energy Transport and Storage (6 units)
o 39-611 Energy Demand and Utilization (6 units)
o 39-612 Energy Policy and Economics (6 units)
AI Fundamentals – 42 units
o 24-787 or 18-661 Introduction to Machine Learning (12 units)
o 24-788 Introduction to Deep Learning for Engineers (6 units)
o 24-784 Trustworthy and Ethical AI Engineering (12 units)
Engineering Concentration – 36 units
Breadth Electives – 18 units
