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MSc Big Data Technologies

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

    SEP

  • Duration

    1 Year

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)

£ 19,400per year

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

    89th

  • 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 them 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

    61st out of 118 5

    28th out of 93 4

  • Entry standards

    / Max 229
    153 67%

    26th

  • Graduate prospects

    / Max 100
    77.0 77%

    56th

    3

  • Student satisfaction

    / Max 4
    3.14 78%

    30th

    6

  • Entry standards

    / Max 198
    163 82%

    5th

  • Graduate prospects

    / Max 100
    70.0 70%

    37th

    4

  • Student satisfaction

    / Max 4
    3.24 81%

    17th

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