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Energy Data Management with Business Analytics Graduate Certificate at Robert Gordon University

Robert Gordon University, United Kingdom

Programme overview

Energy Data Management with Business Analytics is the first course in the world to bring together asset data management across multiple arms of the bulk power generation sector; specifically, wind, oil and gas and nuclear. The inclusion of Business Analytics further enhances the employability of data managers across the sector.

Faculty: School of Computing, Engineering and Technology  |  Duration: 9 months part-time (online learning)  |  Study mode: part-time (online learning)  |  Intake: September  |  Location: Aberdeen, Scotland, United Kingdom

What you will study

You will develop an understanding of the lifecycle of various types of technical data that describe the physical assets of bulk power generation in nuclear and wind power and in oil and gas. Some of these data types require management over decades and even centuries. Further, you will explore what is necessary to protect and provide this data for use along the asset’s own lifecycle.

Career pathways

There is a growing recognition of the need for more effective data management in the energy sector. Graduates work in operators, regulators and service companies around the world.

Official programme page

Application information

Entry requirements

There are no formal academic entry requirements to this course. It has been designed as an access route for those who do not currently have the necessary qualifications in this area but do have 1 year or more, relevant work experience in the energy sector or allied industries. Applicants whose first language is not English should have an IELTS of 6.0 overall, with no component lower than 5.5, or an equivalent.

Domestic applicants: GBP 3,770 a year (2026/2027). Scottish students, part time online, over 1 year Source

International applicants: GBP 3,770 a year (2026/2027). International students, part time online, over 1 year Source

Intake: September

Duration: 9 months part-time (online learning)

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