Energy Data Management
Study this unique cross-industry data management course for new and current practitioners.
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.
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.
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.
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.
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
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
Standard Entry Requirements
There are no academic pre-requisites for this course.
Course participants must be domiciled in the North East of Scotland (with a postcode in Aberdeen City, Aberdeenshire or Moray) to be eligible for a fee-waiver place
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 2023/2024
- Course participants must be domiciled in the North East of Scotland (with a postcode in Aberdeen City, Aberdeenshire or Moray) to be eligible for a fee-waiver place.
The following course-related costs are not included in the course fees:
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: