Graduate Interdisciplinary Specialization in Data-driven Sustainable Energy Systems
The Graduate Interdisciplinary Specialization (GIS) in Data-driven Sustainable Energy Systems provides graduate students with interdisciplinary training in energy-system modeling, data science, energy policy, business, law, social and behavioral sciences, and energy technologies.
- Students with an interest in sustainable energy will develop their data-analytic and computational skills, along with a holistic understanding of economics, business, finance policy, social impacts, and law as it relates to sustainable, distributed, and digitized energy systems.
- Students will strengthen their communication skills through experiential-learning encounters and develop the ability to innovate, be adaptive, and design forward-thinking solutions to sustainable energy problems.
The GIS consists of six courses totaling 19 credit hours:
• ISE 6020 - Foundations of Data-Driven Sustainable Energy Systems
• Four elective courses from five thematic areas related to sustainable energy systems: energy system modeling; information systems; energy policy, regulation, and economics; energy-business modeling; and energy technologies, components, and subsystems.
• PUBAFRS 8620 - Innovating for Sustainable Energy Systems
Students will receive formal recognition on their transcripts after the completion of the curriculum, some of which may double-count with major requirements.
How to Enroll
Enrollment is open to any graduate student who is interested in sustainable energy. Students interested in enrolling should follow the steps outlined here. The Minors and Interdisciplinary Specialization enrollment form is located in GRADFORMS under the Graduation and Examination section.