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Graduate Program

Alternative Energy Master’s Tracks

Alternative energy master's students can take one of the following tracks:

For more information see the MS in alternative energy page

Materials Track

Students can choose up to three classes related to the materials aspects of alternative energy. The materials track helps students deepen their knowledge in materials for modern energy solutions.

Recommended classes are:

  • CHE 447: Liquid Crystal Optics (fall)Kopp Demo
  • CHM 462: Biological Chemistry (spring)
  • ECE 423: Semiconductor Devices (fall)
  • ERG 413: Molecular Self Assembly (spring)
  • ERG 441: Advanced Transport Phenomenon (fall)
  • ERG 458: Electrochemical Engineering and Fuel Cells (fall)
  • ERG 482: Processing Microelectric Devices (fall)
  • ME 424: Robust Design and Quality (spring)
  • ME 481: Mechanical Properties of Solids (fall)
  • OPT 407: SEM Practicum (spring)
  • PHY 420: Introduction to Condensed Matter Physics (fall)
  • SUS 410: Science and Sustainability (fall)

Business Track

Students can choose up to three classes related to the business aspects of alternative energy. The business track helps students deepen their knowledge in business opportunities of alternative energy systems.

Recommended classes are:

  • ECO 471: Modern Value Theory (fall)
  • ECO 475: Macroeconomics (fall)
  • ECO 481: Math Economics (fall)
  • OPT 481: Gen Management of New Venture (spring)
  • PHL 430: Environmental Justice (spring)
  • PSC 504: Causal Inference (spring)
  • SUS 446: Environmental Law and Policy (fall)

In the Simon Business School:

  • CIS 417: Intro to Business Analytics (fall)
  • CIS 418: Adv Bus Modeling and Analysis (fall)
  • OMG 402: Operations Managements (winter)
  • STR 401: Managerial Economics (fall/spring)

Data Science Track 

Students can choose up to three classes related to big data aspects of alternative energy. The data track helps students deepen their knowledge in big data applications for modern energy solutions.

Recommended classes are:

  • DSC 401: Tools for Data Science (fall and spring)Data Sci
  • DSC 420: Introduction to Random Processes (fall)
  • DSC 422: Network Science Analytics (spring)
  • DSC 440: Data Mining (fall and spring)
  • DSC 461: Database Systems (fall and spring)
  • DSC 462: Computational Introduction to Statistics (fall)
  • DSC 465: Intermediate Statistics and Computational Methods (spring)
  • DSC 475: Time Series Analysis and Forecasting in Data Science (spring)
  • CHE 477: Numerical Methods (fall)

Research Track

Students who choose to complete their degree through the research track are expected to earn 30 credit hours, with at least 18 credit hours from graduate level coursework. Additionally, students choosing the research track are required to complete 12 credit hours of research, a master’s thesis and pass an oral defense. Research experiences have to be related to alternative energy topics and are integrated within the academic offerings at the University of Rochester. Most students complete the program within two years.

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Students in this track will work on original research under the mentorship of a University of Rochester faculty member affiliated with the Department of Chemical Engineering. Students will learn to:

  • Investigate research problems independently and efficiently
  • Summarize research results in clearly written scholarly form
  • Orally present hypotheses, methodologies, and results to a professional audience

Research track students will develop a research project plan with their research mentor, regularly present progress reports at the group meetings, and help their research advisor in preparing scientific manuscripts and presentations related to the selected research topic.

Accompanying Research

Students who choose the accompanying research option will take up to six  hours or research credit. Research experiences have to be related to alternative energy topics and are integrated within the academic offerings at the University of Rochester.

Accompanying research students will work on original research under the mentorship of a University of Rochester faculty member. Students will learn about hypotheses and modern methodologies, and how to investigate research problems efficiently. Students are responsible for familiarizing themselves with the regulations, including academic honesty guidelines, meeting deadlines, and working with their research supervisor.

An exit exam describing the conducted research may also satisfy the accompanying research requirement.

The accompanying research option helps students develop research skills that provide an excellent preparation for professional life.