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MSc Advanced Data Science and Artificial Intelligence with a Year in Industry

University of Liverpool

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Course options

  • Qualification

    Professional Masters

  • Location

    Liverpool Campus

  • Study mode

    Full time

  • Start date

    15-SEP-25

  • Duration

    2 Years

Course summary

Big data is increasingly important in the contemporary business and IT world. For many public and private enterprises, analysis of large-scale data sets is critical to growth. This MSc will prepare you for employment in an IT industry where big data professionals are in high demand.

Youll learn how to interrogate vast amounts of data and make informed insights from datasets that are too large to be readily processed using standard techniques.

In year one, well provide an overview of the key algorithms, algorithmic approaches and software environments youll use when solving big data problems and explore data mining techniques. Well also guide you in how to plan and conduct research.

Hands-on programming experience with the latest multi-core and multi-processor platforms will ensure your expertise in big data is underpinned by knowledge of high-performance computing. Further opportunities to specialise and enhance your knowledge of algorithms, optimisation and machine learning are available through a range of optional modules.

Tuition fees

Students living in Hong Kong
(International fees)

£ 30,800per 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

University of Liverpool

  • University League Table

    19th

  • Campus address

    University of Liverpool, The Foundation Building, 765 Brownlow Hill, Liverpool, Liverpool, L69 7ZX, England

Personalised and supported entrance into the UK for international students.
Dedicated 'International Plus' careers offer for international students.
A global community of 280,000 alumni.

Subject rankings

  • Subject ranking

    31st out of 117 3

  • Entry standards

    / Max 227
    143 63%

    39th

  • Graduate prospects

    / Max 100
    88.0 88%

    33rd

    25
  • Student satisfaction

    / Max 4
    3.00 75%

    63rd

    1

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