How to apply

This program is offered every Summer and Fall.

Admission is open to all applicants, with no prerequisites to register. A fundamental knowledge of business statistics and strong quantitative skills are highly recommended. Tuition is $2,500 per course, plus an additional $24 information technology fee.

Discounts apply for corporate groups, Global Energy Management MS Alumni/Students, and Women in Energy members. A discount is also available for professionals participating in both the Energy and Commodity Analytics for Analysts and Energy Analytics and Big Data for Managers certificates.

For any questions about registration, please contact Michele Cooper, Associate Director of Student Success and Analytics for the Global Energy Management Program, at michele.cooper@ucdenver.edu or 303-315-8066.

Apply online

This four week online course for analysts and technical professionals will take a deep dive into energy and commodities analytics. Designed for those who want to learn best practices around commodity data analytics, visualization, and forecasting, the course offers hands-on projects and real-world data. You will learn commodity data analysis utilizing EViews, an industry-leading data management and analysis software.

Schedule and Curriculum

The next course runs October 5-30, 2020. Class meetings will occur online via Zoom every Tuesday and Thursday from 11:00 a.m. - 1:00 p.m. MT during the four week course. Registration will close October 2 or once the class is filled. 

Topics include:

  • Introduction to data analysis and EViews “bootcamp”
  • Applied introduction to time-series modeling and forecasting
  • Case studies and real-world applications for data analysis

The curriculum for the four week, part-time course spans complex topics including data transformation and visualization, regression analysis, model estimation (including vector autoregression and error-correction) and forecasting across the broad commodity sector.

Take a look at the syllabus for the course

About the Instructor

Daniel JerrettDaniel Jerrett, Ph.D., has more than 15 years of experience developing and implementing forecasting models, spanning both the private and public sectors. He has spent time in the investment management industry, state, and local governments as well as consulting with Fortune 500 companies. 

Dr. Jerrett continues to be active in academia and teaches courses in econometrics and forecasting at the University of Colorado Denver’s J.P. Morgan Commodities Center.

One of two Commodities and Energy certificates

The Energy and Commodities Data Analytics certificates offer both analysts and managers a deep dive into the rapidly expanding disciplines of Big Data and analytics as they apply to commodities and the energy industry. These courses include analytical methods, tools, and applications, plus in-depth case studies that underscore the value of analytics for energy and commodities. Both technical and management professionals will learn best practices in Big Data Analytics, hosted by the CU Denver Business School’s Global Energy Management program and J.P. Morgan Center for Commodities. With 45 combined Advisory Council members representing leaders at the top energy and commodities companies, our deep ties to the business community offer you an education powered by industry trends.

Discounts and Tuition Policy

Discounts apply for professionals participating in both the Energy and Commodity Analytics for Analysts and Energy Analytics and Big Data for Managers certificates.

The Energy and Commodities Analytics for Analysts course is a non-credit, professional education course. The last day to drop the course in UCDAccess with a full tuition refund is Wednesday, June 17, 2020 11:59 p.m. MDT. After that date, the student is responsible for the full tuition amount of the course and no refunds will be given.