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1 Years On Campus Masters Program
Glasgow Caledonian UniversityThe MSc Applied Data Science in Engineering at Glasgow Caledonian University (GCU) is an industry-driven program developed to produce specialists in Engineering Informed Data Science (EIDS) for managing high-value, complex assets.
The course equips students with the ability to analyze complex engineering systems, deploy Industrial Internet of Things (IIoT) architectures, manage big data, develop augmented-reality-enabled digital twins, and build data visualization dashboards to support real-time engineering and business decisions.
The curriculum is shaped by input from Scottish engineering firms, professional institutes, and governmental bodies, ensuring practical relevance to sectors such as digital asset management, manufacturing, and through-life engineering support.
Course Overview:
Software Development for Data Science
System Health Management
Data Capture
IoT Framework Informatics
Professional Practice (Engineering)
Data Visualisation
Digital Twins
Predictive Maintenance
Research Project
Teaching: Delivered through a combination of lectures, practical workshops, and distance learning using industry-aligned case studies and digital platforms.
Assessment: Assessed through coursework, practical projects, and applied case studies, with no formal written exams.
Industry-driven curriculum developed with engineering firms, institutes, and government partners.
Hands-on training in IIoT platforms, digital twin technology, predictive analytics, and asset management dashboards.
Practical focus on applying data science to physical systems in sectors undergoing digital transformation.
Flexible study options including online distance learning.
Opportunities to apply learned techniques directly to engineering-informed data science projects.
Graduates are well-prepared for immediate roles in industries embracing digital change.
Progression to PhD studies in Applied Data Science or Data-Enabled Industrial Engineering.
Career pathways in predictive maintenance, digital transformation leadership, and IIoT systems design.
Skills are directly transferable to industries such as manufacturing, asset management, and operations.
TOEFL iBT: TOEFL iBT/Home Edition: Overall score of 78 with the following minimum element scores; Listening 17, Reading 18, Speaking 20, Writing 17.IELTS: 6.0 with no element below 5.5UK honours degree 2:2 (or equivalent) in engineering or physical sciences (for example, mechanical, telecommunications and petroleum, physics, mathematics, electrical engineering, chemical engineering).Scholarships availableYour personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Data AnalystData ScientistData-Enabled Solutions DesignerDigital Change LeaderAsset Performance AnalystPredictive Maintenance SpecialistDigital Twin DeveloperEngineering Data ConsultantIIoT Systems ArchitectOperations Data Analyst
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