Core Courses (all five courses)

• ENGS 171: Industrial Ecology
• ENGS 172: Climate Change and Engineering
• ENGG 173: Energy Utilization
• ENGS 174: Energy Conversion
• ENGS 175: Energy Systems

Electives (choose four, from the following)

The recommended courses listed here are for students who seek additional courses that allow for further depth of study in their chosen track.

Engineering

Any graduate-level engineering sciences courses, including:

• ENGS 91: Numerical Methods in Computation
• ENGS 103: Operations Research
• ENGS 104: Optimization Methods for Engineering Applications
• ENGS 106: Numerical Linear Algebra
• ENGS 108: Applied Machine Learning
• ENGS 110: Signal Processing
• ENGS 114: Networked Multi-Agent Systems
• ENGS 115: Parallel Computing
• ENGS 145: Modern Control Theory
• ENGG 177: Decision-Making under Risk and Uncertainty
• ENGM 182: Data Analytics
• ENGG 199.2: Model-Based Systems Engineering, Analysis, and Simulation
• ENGS 202: Nonlinear Systems

Design Project

Students enrolled in the design project elective may take the following three-course sequence to partially fulfill the four-course elective requirement.

• ENGM 191: Product Design and Development

• ENGG 199.10: MEng Design Project Initiation

• ENGG 199.11 MEng Design Project Completion

Science

Any graduate-level science course, including:

• COSC 170: Numerical and Computational Tools for Applied Science
• COSC 184: Mathematical Optimization and Modeling
• COSC 271: Numerical Linear Algebra
• COSC 274: Machine Learning and Statistical Data Analysis