Do you already have a background in engineering? Use those skills in combination with Data Science to start your career in a growing field! This MSc in Applied Data Science in Engineering will guide you to becoming a specialist in Data Science tools and technologies for high value, complex assets.
Upon graduation students will have a solid knowledge base with which to analyse complex systems and engineering assets. They will also be able to manipulate, store and analyse big data effectively using a variety of techniques. Graduates will also be able to transform data into actionable insights which in term will assist in making sound engineering based decisions.
Glasgow Caledonian University is known for its excellence in both teaching and learning, as well as its strong student support network. Barclay Educational visits each one of our partner schools to insure that you have the best overseas learning experience possible. Find out more about this excellent school.
Want to find out more about this exciting and challenging program? Contact Barclay Educational for program details or for information on how to apply from Canada. https://barclayedu.com/contact-us/ Our application support is FREE to Canadians. Start your overseas studies in Fall 2023! We look forward to meeting you.
Please note that new applications to this programme’s January 2023 intake are now closed for international and EU (without pre-settled status) students. Applications remain open for students from the UK and Republic of Ireland.
Graduate opportunities
The MSc Applied Data Science in Engineering offers graduates a highly focused skillset that is valuable to an extremely wide range of industry sectors currently going through the digital transformation process.
Across these industries you might focus on predictive analytics for asset performance, on solutions to increase uptime and decrease downtime, the use of instrumentation, big data, optimisation and engineering-informed analytics via digital twins, on digital readiness or enhance decisions related to design, operations, or maintenance via data analytics.
When you graduate, you will be a competitive candidate for roles such as data analyst, data scientist, and data-enabled solutions designer for predictive capabilities targeted at complex assets.
You might also want to pursue a career as a digital change leader for an engineering organisation bridging the knowledge gap between subject matter experts and domain knowledge, data scientists, data engineers and architects, IT/OT specialists and business owners.
You can also use the course as a foundational knowledge base for PhD studies in the Applied Data Science or Data-Enabled Industrial Engineering fields.
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