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Master of Science in Data Analytics and Sustainable Energy


The Master of Science in Data Analytics and Energy is a 30-credit hour interdisciplinary, professional STEM certified graduate degree program that gets graduates job-ready and future-proof.

The digital transformation of the energy industry leads to the collection of ever more data and the increasing need for skilled talent. Data is at the heart of the modern economy and energy is what keeps our economy going. The access to abundant and affordable energy, produced in an environmentally responsible manner is inextricably linked to economic development and well-being.

Energy issues are complex and this program will provide graduates with in-depth knowledge of the entire energy industry and the analytical tools to succeed in a host of energy and data related roles. 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.

Program details

Get your Master of Science without interrupting your career!

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.

Full-time: Enrolling as a full-time graduate student allows you to get your Master of Science in Data Analytics and Energy in as little as 11 months.

The Master of Science in Data Analytics and Sustainable Energy is a new degree that was developed in response to the increasing need for data savvy energy professionals. The roles that our graduates can fill in the field of 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 Data Analytics and Sustainable Energy requires the successful completion of 30 credits in order to graduate. The coursework is composed of five core courses in data and statistical analysis (3 credits each) and four courses in energy sector analysis, economics and sustainability (3 credits each). Additionally, in a capstone project (3-credits), students will apply data analytics and statistical tools to solve energy sector challenges. The capstone project is designed to allow graduates to sharpen their research skills by working closely on their individual project with two advisors. Graduates thereby have the opportunity to analyze a problem, working on a question from beginning to end and communicate the results in the form of a presentation and a report.

Career Outlook in Virginia

Our region is faced with a critical shortage of Digital Talent. Projections show that by 2025 as much as "60% of Capital Region Tech and Tech Adjacent positions will be unfilled"[1]. Through 2030 it is projected that 7,100 new jobs in Data Science/Analysis will be created in Virginia[2]. In 2022 Data Science/Analytics is one of the most in-demand career paths and the role of Data Scientist is ranked third in Glassdoor's '50 Best Jobs in America for 2022'[3]. On the national level projections show that between 2020 and 2030 jobs in the fields of Statistics, Data Science/Analytics, and Economics will increase respectively 33%, 15% and 13%.[4]

Professional Environments

Our graduate programs in Data Analytics are designed to get you job-ready to succeed in a variety of professional environments that include:

  • Private companies across sectors
  • Think tanks
  • Trade organizations
  • Government agencies
  • International organizations
  • Electric utilities
  • Renewable energy firms
  • Oil and gas companies
  • Consulting firms
  • Law firms
  • Other
Professional Roles

There is a long list of professional roles that are suitable for our graduates:

  • Data scientist
  • Data analyst
  • Quantitative analyst
  • Quantitative financial analyst
  • Statistician
  • Energy sector modeler
  • Renewable energy analyst
  • Energy security analyst
  • Energy policy analyst
  • Energy sector specialist
  • Energy advisor
  • Energy data engineer
  • Energy industry specialist
  • Sustainability consultant
  • Other

[1]Northern Virginia Chamber of Commerce, 2022. Capital Digital Talent – Building the Capital Region’s Digital Talent Pipeline, McKinsey & Company, October 13.
[2],[4]BLS, 2022. U.S. Bureau of Labor Statistics, data retrieved in September.

Enrollment is open - secure your seat now and join the next cohort!


JOB GROWTH 2020-2030

100 %




98 %+


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.[2] 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[3] 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.


  • 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 Data Analytics and Energy
  • Throughout the program a dedicated advisor works with you to facilitate your journey to success
  • Scholarships available.

Program Learning Outcomes

  • Apply data analytics tools to provide a wide variety of insights relating to the energy sector and sustainability
  • Ability to access, extract, transform and manipulate large data sets
  • Produce statistical analysis and forecasts related to energy production, consumption, financing, greenhouse gas emissions and more
  • In-depth knowledge of the workings of the energy industry
  • Ability to recognize and analyze energy sector problems and propose solutions
  • Ability to communicate energy sector analysis through data visualization, presentations and report writing.

[1]United Nations, 2022.
[2]IEA, 2017. International Energy Agency, Digitalisation and Energy, available at:
[3]BP, 2022. Statistical Review of World Energy, available at: