Tehran Institute for Advanced Studies (TEIAS)

/ Energy Economics

Full-Time Faculty Members

Dr. Mahdi Heidari

PhD from Columbia University

Dr. Mohammad Morovati

PhD from University of Texas at Austin

Dr. Behrang Kamali

PhD from University of Pennsylvania

Dr. Farshad Hagh-Panah

PhD from University of California at Berkeley

Dr. Layla Shiva

PhD from Texas A&M University

Dr. Hosein Joshaghani

PhD from University of Chicago

Dr. Pejman Abedifar

PhD from LAPE, Université

Dr. Sepehr Ekbatani

PhD from University of California, Los Angeles

Energy Economics

The Master of Energy Economics is designed to educate future leaders, strategic thinkers and researcher in the energy sector. Students develop skills to provide insightful analysis of energy markets in order to inform future market orientation, capital asset decisions, and firm strategic direction. Built upon programs in the Economics Department of TEIAS, the Master of Energy Economics provides a new avenue for energy professionals and researchers to develop human capital relevant for business development and/or research. Our program collaborates with reputable scholars and professionals to teach program electives and impart a deeper understanding of specialized fields as well as give participants an opportunity to network and field questions directly to the experts.


Students will learn to analyze energy markets and the micro and macro impacts of various stimuli for the research. They also develop quantitative skills to better utilize data to inform strategic decisions and research.

Curriculum

Compulsory

 

  • Macroeconomics 1
  • Microeconomics 1
  • Macroeconomics 2
  • Microeconomics 2
  • Econometrics
  • Advanced Microeconomics 1
  • Advanced Macroeconomics 1
  • Advanced Econometrics 1
  • Advanced Energy Economics
  • Natural Resources Economics
  • Oil, Petrochemical and Energy Markets Economics

Elective

 

  • Game Theory
  • Mathematical Economics
  • Advanced Econometrics 2
  • Contract Theory
  • Financial Economics
  • Market Design
  • stochastic process

Need to know more?

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