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Master of Science in Applied Data Science in Engineering Glasgow Caledonian University (Glasgow) Glasgow Caledonian University (Glasgow), UK

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GBP 18800

Annual Tuition Fee

!
*Subject to change and other fees
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 Free

Application Fee

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12 months

Duration

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6

IELTS

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78

TOEFL

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55%

Min GPA

Program Overview

GCU’s 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 Industrial Internet of Things (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.

  • Apply your engineering domain knowledge to develop high-quality data science tools and solutions for physical systems. Data scientists with an engineering background apply their engineering knowledge to ensure a higher quality of data.
  • Explore industry-standard commercial off-the-shelf solutions for system-level analysis and design of IIoT platforms and augmented-reality-enabled digital twins.
  • Develop and apply predictive analytics to support data-informed engineering and business decisions.
  • Learn how to develop data visualisation dashboards to maximize the level of engineering insights related to asset performance, health management, operations, maintainability and through-life engineering support solutions.

The course requirements were captured via in-depth interviews with representatives of Scottish engineering firms (part of global engineering organisations) and the taught modules were designed to fulfil a real need in terms of digital engineering skills. Input from engineering institutes and governmental bodies was also captured to ensure the relevance of the curriculum in the context of digitalisation of assets’ design, manufacturing, operations, and through-life engineering support of complex systems. Our goal is to deliver competent candidates ready to deliver value in the exciting journey of digital transformation.

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Additional Information

Program Level Master's Degree

College/University Processing Time 7 Days

Program Format Full-Time

Post-Study Work Visa (PSWV) work permit

Program Intake

Closed

Jan 2025

General Admission Requirement

    Academic Requirement

    • Minimum Level of Education Required: To be accepted for this program, student must have a Bachelor's degree.

    6 IELTS Score
    78 TOEFL Score Minimum Overall Score
    59 PTE Score Minimum Overall Score
    55% CGPA Minimum Overall Score

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    Tuition Fee

    The values given below are estimated figures, excluding extra charges like material fee, student activity fees, athletic fees, health care, etc., for courses. To know more, please visit the Programs page.

    Average Tuition Fee Per Year

    18800

    Tuition Fee
    (GBP)

     Free

    Application Fee
    (GBP)

    10224 Per year

    Average Cost of Living
    (GBP)

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    The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

    Check program website for more information about funding options.

    Scholarships

    Scholarships

    • UG Scholarship: £2,500 per year
    • PG Scholarship: Available up to £4,000
    • Early Payment Discount: 5% if the tuition fee is paid in full before the start of the course

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