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- MSc Applied Data Science in Engineering (16 Months)
Course options
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Qualification
MSc - Master of Science
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Location
Glasgow Caledonian University
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Study mode
Full time
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Start date
27-JAN-26
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Duration
16 Months
Course summary
Embark on a career in a rapidly growing field and become a data scientist with an engineering background within a very lucrative field. GCUs MSc in Applied Data Science in Engineering will ensure you will become a competent specialist in Engineering Informed Data Science (EIDS) tools and technologies (or solutions) for high-value, highly complex assets. As part of this course, you will study a ground-breaking curriculum linked to industry digital engineering needs. You will learn to analyse complex systems and engineering assets, to deploy instrumentation as part of IIoT architectures, to store, manipulate and analyse big data effectively by implementing data visualisation techniques and producing digital twins capable of transforming data into actionable insights supporting informed engineering/business decisions. With both full-time and distance learning study available, the course was designed with input from industry for industry, and it was specifically constructed with a career development focus, so you will gain valuable skills you can immediately put to work in different industry sectors.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.
Modules
Tuition fees
- United States
- Afghanistan
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- Czech Republic
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- Ecuador
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- England
- Equatorial Guinea
- Eritrea
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- Ethiopia
- Fiji
- Finland
- France
- Gabon
- Gambia
- Georgia
- Germany
- Ghana
- Greece
- Grenada
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- Guinea
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- Guyana
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- Honduras
- Hong Kong
- Hungary
- Iceland
- India
- Indonesia
- Iran
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- Israel
- Italy
- Ivory Coast
- Jamaica
- Japan
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- Kenya
- Kiribati
- Korea DPR (North Korea)
- Kosovo
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- Laos
- Latvia
- Lebanon
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- Liberia
- Libya
- Liechtenstein
- Lithuania
- Luxembourg
- Macedonia
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- Mali
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- Marshall Islands
- Mauritania
- Mauritius
- Mexico
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- Moldova
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- Mongolia
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- Mozambique
- Namibia
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- Nigeria
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- Palestinian Authority
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- Papua New Guinea
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- Peru
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- Republic of Ireland
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- San Marino
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- Saudi Arabia
- Scotland
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- Serbia
- Seychelles
- Sierra Leone
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- Slovenia
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- St. Lucia
- Sudan
- Suriname
- Swaziland
- Sweden
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- Tunisia
- Turkey
- Turkmenistan
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£ 1,567month
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information

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University League Table
75th
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Campus address
Glasgow Caledonian University, Cowcaddens Road, Glasgow, Scotland, G4 0BA, United Kingdom
Subject rankings
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Subject ranking
86th out of 117 7
21st out of 28
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Entry standards
/ Max 227158 70%26th
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Graduate prospects
/ Max 10079.0 79%67th
6 -
Student satisfaction
/ Max 42.92 73%87th
43 -
Entry standards
/ Max 228n/a -
Graduate prospects
/ Max 10087.0 87%9th
2 -
Student satisfaction
/ Max 42.98 75%17th
8