Sustainable Energy and Transportation Systems (SETS)
The SETS (Sustainable Energy and Transportation Systems) MS program equips engineers with the necessary skills to develop equitable and innovative technical solutions for energy and transportation infrastructure. Our interdisciplinary approach focuses on key areas such as buildings, transportation systems, communities, and modeling techniques to enhance efficiency and effective management.
SETS offers a comprehensive program encompassing a wide range of cross-cutting methods for addressing complex challenges. Master uncertainty analysis, data analytics, simulation and modeling, spatial analysis, control systems, dynamic system modeling and analysis, and probability and estimation methods. Acquire expertise in these versatile techniques to tackle intricate energy and transportation systems issues to gain a holistic understanding of sustainable solutions in a dynamic and evolving field.
Explore Cutting-edge Topics
Energy Systems: Explore topics such as energy poverty, transitions to sustainable energy, building energy management, and autonomous buildings. Gain expertise in understanding complex energy systems, addressing energy access challenges, driving sustainable transitions, optimizing building energy efficiency, and embracing autonomous and sustainable building technologies.
Smart Mobility: Dive into smart mobility, autonomous and electric vehicle policy, network analysis (including public transit), shared mobility, climate-resilient policy-making, and transportation modeling. Gain expertise in these critical areas, driving innovation and sustainability in the transportation industry.
Academic Outcomes
You will develop practical skills in programming, Geographic Information Systems (GIS), and numerical methods, providing the tools to analyze complex engineering problems and develop innovative solutions.
The flexibility of our programs means you can tailor your education to your specific interests and goals. Our elective courses offer opportunities to explore urban system modeling, sustainable energy for the developing world, optimization, multiple criteria decision-making, and trustworthy artificial intelligence (AI), expanding your knowledge in related fields.
Graduates from the SETS program are prepared to become a driving force in shaping a sustainable future for energy and transportation systems. Gain the knowledge, skills, and practical experience necessary to make a meaningful impact on our world.
Energy Track: Recommended / Elective Courses
Recommended
- 12-704 - Probability and Estimation Methods for Engineering Systems
- 12-706 - Civil Systems Investment Pricing and Planning
- 12-711 - Building Information Modelling (BIM) for Engineering, Construction, and Facility Management
- 12-770 - Autonomous Sustainable Buildings
- 12-774 - Foundations of Intelligent Infrastructure Systems
- 12-778 - Sensors, Circuits, Data Interpretation, and Management for Infrastructure
Electives
- 12-735 - Urban System Modeling
- 18-883 - Energy Systems
- 19-625 - Sustainable Energy for the Developing World
- 39-611 - Energy Demand and Utilization
- 48-721 - Building Controls and Diagnostics
- 48-722/48-524 - Building Performance Modeling
- 48-752 - Zero Energy Housing
From Campus to Career
Driving Towards Success: Emile Qu's Journey as a Transportation Specialist
Emile Qu (MS '23) chose CMU's CEE for his graduate studies in engineering, focusing on courses like BIM, GIS, transportation engineering, and Smart Cities, which led to a successful internship and a fulfilling career as a Transportation Specialist, highlighting the importance of exploring diverse courses, securing valuable internships, and developing strong communication skills.
Current Role: Traffic Engineer at Sarasota County Government
Undergraduate: Civil Engineering, Rensselaer Polytechnic Institute
Transportation Track: Recommended / Elective Courses
Recommended
- 12-644 - Intro to Transportation System Analysis
- 12-645 - Smart Cities: Intro to Intelligent Transportation Systems
- 12-704 - Probability and Estimation Methods for Engineering Systems
- 12-706 - Civil Systems Investment Pricing and Planning
- 12-768 - Decision Analytics for Business and Policy
- 12-783 - Geographical Information Systems
Electives
- 12-735 - Urban System Modeling
- 12-XXX - Spatiotemporal Computing for Resilient Civil Infrastructure Operation and Maintenance
- 24-784 - Special Topics: Trustworthy AI
- 24-785 - Engineering Optimization
- 19-707 - Multiple Criteria Decision Making