Master of Science in Applied Computational Economics and Sustainable Energy
FAST-TRACK YOUR CAREER!
The Master of Science in Applied Computational Economics and Sustainable Energy is a 30-credit hour interdisciplinary, professional STEM certified graduate degree program that gets graduates job-ready and future-proofs their careers. The program provides an in-depth training in both theoretical and applied economic analysis with a particular focus on the energy industry.
Energy is at the heart of the modern economy, high or low energy prices, the environmental impacts of various forms of energy, taxes and subsidies, regulatory measures and policies, are all issues that can have strong real life economic and social effects. Concomittantly, the digital transformation of the energy industry leads to the collection of ever more data and the increasing need for computationally savvy economists.
Energy issues are complex and this program will provide graduates with in-depth knowledge of the entire energy industry and the computational as well as analytical tools to succeed in a variety of roles as energy economist. The ability to identify problems, analyze data, perform predictive analysis, and draw meaningful conclusions is crucial to successfully participate in shaping the future of the energy industry in the United States and worldwide.
Master of Science in Applied Computational Economics and Sustainable Energy
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Your success is our priority
Innovative programs that will equip you with the hard skills needed to be future-ready
Hands-on applications and important theory
Cohort based programs allowing for interaction with peers and professors
100% online with an experience superior to in-person instruction
Earn your Graduate Certificate on the way to the Master of Science in Applied Computational Economics and Energy
Throughout the program a dedicated advisor works with you to facilitate your journey to success
Program Learning Outcomes
A solid foundation in macro- and micro-economic theories and their practical applications to the energy sector.
An in-depth understanding of economic policies and the skills to evaluate their consequences.
Ability to apply advanced quantitative skills to successfully analyze a wide range of energy industry challenges and propose solutions.
Conduct independent research and present results in the form of presentations and reports
Ability to formulate policies and produce statistical analysis and forecasts related to energy production, consumption, financing, greenhouse gas emissions and more.
Get your Master of Science in Applied Computational Economics and Sustainable Energy without interrupting your career!
Full-time: Enrolling as a full-time graduate student allows you to get your Master in Data Analytics and Sustainable Energy in as little as 11 months.
Part-time: The part-time option gives you more flexibility to accommodate your other priorities and to finish the program in as little as 23 months.
The Master of Science in Applied Computational Economics and Sustainable Energy is a new degree that was developed in response to the increasing need for computationally savvy economists working on energy issues. The roles that our graduates can fill in the field of economics and energy are countless. The curriculum of this cutting-edge, professional program was developed by Clover University faculty and leadership, its board of advisors, and the feedback from industry experts and employers. The courses are delivered in a cohort based online format by senior experts in the field, as well as world class academics. Clover University relies on a creative, empathic, and inspiring student-centered approach, that focuses on excellence in teaching and research, while supporting each student throughout their journey in reaching their goals. During their time in the program graduates will have ample opportunity to communicate with their peers and faculty.
The Master of Science in Applied Computational Economics and Sustainable Energy is a new professional degree that was developed in response to the increasing need for computational economists working on issues relating to energy and the economy. In order to be awarded the Master of Science in Applied Computational Economics and Energy the successful completion of 30 credits is required. The coursework is composed of five core courses in computational economics (3 credits each) as well as four specialization courses in energy (3 credits each) and a 3-credit capstone project.
Professional Environments and Careers
Projections for the U.S. show that between 2020 and 2030 jobs in the fields of Statistics, Data Science/Analytics, and Economics will increase by respectively 33%, 15% and 13%.
The Master of Science in Applied Computational Economics and Energy equips our graduates with the skills needed to succeed in a variety of professional environments that include: There is a long list of professional roles that are suitable for our graduates:
The Master of Science in Applied Computational Economics and Energy equips our graduates with the skills needed to succeed in a variety of professional environments that include:
There is a long list of professional roles that are suitable for our graduates:
Energy and Sustainability
The United Nations have defined the term sustainability as “meeting the needs of the present without compromising the ability of future generations to meet their own needs.”
The abundance of energy or the lack thereof, high or low energy prices, the environmental impacts of various forms of energy, or energy transitions, are all factors that can have strong real life economic and social effects. Additionally, energy security plays an increasingly important role. Hence, the term ‘sustainable energy’ is often understood to include additional concerns for the well-being of individuals and the economic performance of nations.
Worldwide policy efforts are underway to create a new and cleaner energy economy. The latter will be more electrified and efficient, and will rely to a greater extent on renewable energy. Energy is what keeps our economy going, the energy sector is complex and so is the energy transition. In 2021 fossil fuels accounted for 82% of worldwide energy use and projections show that this share will change only slightly over the coming decades and thus fossil fuels will remain important for the foreseeable future.
The successful transition to a cleaner energy industry requires the reliance on energy professionals such as data analysts, data scientists, and computational economists that can provide a balanced approach to complex problems.
Here are just a few examples of how data is used in the energy sector, however there are many more uses depending on the particular sub-sector and the company:
- Power producers analyze big data sets to optimize generation, forecast energy consumption (for example through smart metering), and balance the demand and supply of electricity.
- In the oil and gas value chain massive amounts of data are collected at all levels of production to enhance the efficiency of resource use and improve environmental protection.
- Efforts to mitigate global warming have led to a substantial increase in the collection of CO2 emissions data. This data can then be used for CO2 taxation or to implement a market for pollution permits - many more uses are possible.
- Performing an economic analysis of the effects of a CO2 tax versus a CO2 emissions trading system.
United Nations, 2022. www.un.org
IEA, 2017. International Energy Agency, Digitalisation and Energy, available at: https://www.iea.org/reports/digitalisation-and-energy
BP, 2022. Statistical Review of World Energy, available at: https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy-economics/statistical-review/bp-stats-review-2022-full-report.pdf