I have been a professor at the University of Wisconsin – Madison (UW) since 1990, and the last 2 years working with REDA students have been the most rewarding of my professional career. After working part-time in the private sector as an energy consultant, I realized the need for well-trained quantitative analysts in the field. We launched REDA to satisfy this need.
I know you have an important decision to make about whether to enroll in REDA. I believe we have created an excellent learning opportunity for future analysts. I am excited about the program; I explain why here.
Our program consists of 31 credits. Students enrolled full-time will graduate in less than one year. However, we realize the intense nature of an accelerated program is not for everyone. That’s why we’ve created a flexible part-time track.
Graduate in less than one year!
Most students choose this option.
Work with the Program Coordinator to customize a course plan that works for you.
Tuition for full-time students that are Wisconsin residents is $16,406; $34,731 for non-residents. The accelerated nature of the REDA program has big payoffs when it comes to tuition bills: full-time students are charged a flat rate when enrolled in 8 or more credit hours per semester.
Tuition is all-inclusive. There are no hidden student or technology fees. We’ve even purchased copies of all required textbooks for shared student use. All you need is internet access and a computer.
REDA offers partial funding to exceptional applicants to help offset tuition costs. Please complete and submit the online scholarship application by January 15 to be considered for a REDA scholarship.
If you are attending full or half-time, you are eligible for Federal Student Aid. To apply for financial aid, please visit the FAFSA website and complete the online registration. When applying for aid you will need the UW-Madison Institution Code: 003895.
For more information about Federal Student Aid, please visit the UW Office of Student Financial Aid.
Students in REDA may not receive tuition remission from the University of Wisconsin–Madison. If you apply for and receive a TA-, RA-, or PA-ship from the University of Wisconsin, you are disqualified for admission to the program.
Advance your analytical skills.
Specific Topics: Calculus, statistics, Microsoft Excel. Taught online.
Develop intuition for and understanding of basic econometric methods.
Specific Topics: Linear regression, statistical inference, R.
Apply analytical methods commonly used in the industry.
Specific Topics: Microeconomic theory, technology adoption, cost benefit analysis.
Learn best practices for designing & implementing surveys.
Specific Topics: Survey error, survey modes, sample design, non-market valuation.
Navigate the political, economic, scientific, and technological dimensions of energy issues.
Specific Topics: Renewable energy, fossil fuels, energy use, public policies.
Expand your understanding of econometrics in the context of program evaluation.
Specific Topics: Panel data, randomized controlled trials, randomized encouragement design, matching methods, discrete choice analysis, R.
Dive deep into challenges facing the energy & natural resource industries today.
Specific Topics: Varies by year, including rate design, renewable energy, program implementation, non-market valuation, load forecasting, climate change, and fishery management. See previous topics & speakers.
Acquire the theoretical framework for analyzing human interactions with our environment.
Specific Topics: Environmental policy instruments, measurement of costs and benefits.
Understand the inner-workings of national and global energy markets.
Specific Topics: Energy demand, pricing structures, energy efficiency, market power.
Comprehend the analytical methods and tools for natural resource economics.
Specific Topics: Commons, steady state, maximum sustained yield, discounting, rule of capture, Microsoft Excel.
Synthesize everything you’ve learned to solve a real-world research problem.
Specific Topics: Data cleaning, analysis, written and oral presentation of results for a real-world research project. See examples of previous practicum topics here.