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MSc Big Data Technologies (16 Months)

Glasgow Caledonian University

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Glasgow Caledonian University

Course options

2 options available

  • Qualification

    MSc - Master of Science

  • Location

    Glasgow Caledonian University

  • Study mode

    Full time

  • Start date

    26-JAN-26

  • Duration

    16 Months

Course summary

Data scientists are in high demand in a range of industries as businesses increasingly seek employees with a solid base of technical, analytical and communications skills. Glasgow Caledonian University’s (GCU) MSc in Big Data Technologies will enable you to acquire the skills and knowledge you need to thrive in a fast-growing industry. You'll develop competence in a range of emerging technologies in big data, including cloud computing, data analytics, artificial intelligence (AI), machine learning (ML), software engineering and DevOps and data visualisation. With the possibility to study both full-time or part-time, the course is ideal for someone with a background in computer science, software engineering or web-technologies

Tuition fees

Students living in United States
(International fees)

£ 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

University image

Glasgow Caledonian University

Glasgow Caledonian University

  • University League Table

    85th

  • Campus address

    Glasgow Caledonian University, Cowcaddens Road, Glasgow, Scotland, G4 0BA, United Kingdom

VIEW PROFILE
The Glasgow campus is in the heart of a city known for being welcoming and affordable.
GCU can help international students with their visa application, accommodation advice and with English language, helping you to settle in and feel at home.
Glasgow Caledonian believes education is for everyone – with a wide range of generous scholarships to help ensure that courses are accessible for all.

Subject rankings

  • Subject ranking

    Computer Science

    56th out of 117 30

    24th out of 34 3

  • Entry standards

    / Max 223
    171 77%

    20th

  • Graduate prospects

    / Max 100
    83.0 83%

    53rd

    14

  • Student satisfaction

    / Max 4
    3.11 78%

    36th

    51

  • Entry standards

    / Max 222
    n/a

  • Graduate prospects

    / Max 100
    81.0 81%

    16th

    7

  • Student satisfaction

    / Max 4
    2.99 75%

    22nd

    5

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