Energy Data Management

Short Course - 15 credits at SCQF level 11
Oil industry with anchor and drill

This short course offers the world’s first cross-industry industrial data management course, focusing on oil and gas, nuclear power and wind power. It is aimed at current practitioners and new entrants to the field.

The course has one study option

Mode of Attendance

  • Online Learning

Mode of Study

  • Part Time

Start Date


Course Length

10 weeks

In the context of power and fuel generation, students will explore the development of the energy sector towards the fourth industrial revolution, focusing on nuclear power, oil and gas and wind and including the current developments and value in energy data management.

Rather than simply focusing on production stages, the course encompasses data and information along the full asset lifecycle, starting with original equipment manufacturers and continuing all the way through to asset decommissioning.

Thus, it is valuable to data managers in all organisations active in the supply chain. The focus is on the business and public outcomes of appropriate management of this data and information, and the consequences of inappropriate management.

Upskilling Courses

In partnership with the Scottish Funding Council (SFC), our online upskilling short courses have been developed in response to feedback from businesses regarding their people and skills needs and are therefore helpful for individuals considering their employment options as well as organisations looking to upskill their employees. Find out more:




The University regularly reviews its courses. Course content and structure may change over time. See our course and module disclaimer for more information.

Learning Methods

Students are expected to spend 6-12 hours per week studying pre-recorded lecture materials, engaging in asynchronous group and individual learning activities, undertaking required and recommended reading and engaging in individually directed literature research. A small number of optional live sessions will be offered and they will be recorded for watching on demand. The expected hours also include time working on assessment which will be in a portfolio format and may require students to arrange interaction between themselves.


Typically students are assessed through a portfolio assessment.

Independent Study

Students are expected to supplement the foundation understanding conveyed in the study materials by seeking out additional materials that align with their particular interests within the industrial setting. Guidance on literature searching will be provided.

Staff Delivering on This Course

The staff on this course have strong pedigrees in industrial data and information management in both industry and academia, as well as experience in wider analytics and digital working. Guest lecturers from industry and other external bodies are invited to speak on an ad hoc basis.


Academic Support

The Inclusion Centre advises and supports students who disclose a sensory or mobility impairment, chronic medical condition, mental health issue, dyslexia and other specific learning differences. Applicants are encouraged to arrange a pre-entry visit to discuss any concerns and to view the facilities.

Online Learning & Support

All online learning students, benefit from using our collaborative virtual learning environment, CampusMoodle. You will be provided with 24/7 online access to your learning material and resources, along with the ability to interact with your class members and tutors for discussion and support.

Study Skills Support

The Study Support Team provides training and support to all students in:

  • Academic writing
  • Study skills (note taking, exam techniques, time management, presentation)
  • Maths and statistics
  • English language
  • Information technology support

Library Support

The Library offers support for your course, including the books, eBooks, and journals you will need. We also offer online reading lists for many modules, workshops and drop-ins on searching skills and referencing, and much more.


The course is intended to increase the employability of students across the different arms of the bulk power generation industry.

Relevant job titles include:

  • Data Engineer
  • Data Manager
  • Data Steward
  • Engineering Data Specialist
  • Lifecycle Information Manager
  • Information Analyst
  • Information Manager

Entry Requirements

There are no pre-requisites for this course.

Students require a high-speed internet connection, webcam and microphone.

English Language Requirements

Applicants whose first language is not English should have an IELTS of 6.5 overall, with no component lower than 5.5, or an equivalent.

We accept a variety of in-country and secure English language tests, find out more:

Please note, some courses may require a higher standard of English than stated in this page. 


Academic Year 2021/2022

  • Course fees will be met in full for students who qualify for Scottish Funding Council funding. To qualify for SFC funding, applicants must be resident in Scotland.
  • £350 entire course - Applicants who are not eligible for SFC funding or are currently receiving SAAS/SFC funding for other courses.

Additional Costs

The following course-related costs are not included in the course fees:

Other Fees and Charges


For new intakes course fees are reviewed and published annually for each mode of delivery. Tuition fees are fixed for the duration of a course at the rate confirmed in the offer letter. For further information see:



Have a question about the course? Get in touch with the team and we'll do our best to help.

Get in touch

Taking this course, you will have access to some of the world's best facilities. 

We've invested more than £100 million in the development of our campus, new facilities and new resources.

University Wide Facilities

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