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Business Analytics and Big Data MSc

University of Liverpool

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    Liverpool Campus

  • Study mode

    Full time

  • Start date

    28-SEP-26

  • Duration

    12 Months

Course summary

Competitive advantage and innovation in the digital world involve the accurate analysis and insights offered by big data – huge data sets that are constantly being generated – in order to improve effectiveness and efficiencies across several business areas, such as operations management and marketing.In order to exploit the insights provided by big data, business analytics and the effective use and understanding of data is crucial. This is a rapidly developing field, which is exhibiting massive demand from industry for qualified individuals in this area to take up roles in management globally.You will develop your knowledge of the organisation, administration and governance of this data, as well as hone your analytical, organisational and leadership skills. The programme is designed for students who wish to pursue a career in this dynamic field or continue their studies to PhD level.Developed in collaboration with industry contributors and partners including PepsiCo and AstraZeneca, the programme is also underpinned by multidisciplinary research.

Application deadline

28/08/2026

Tuition fees

Students living in United States
(International fees)

£ 2,667month

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

    23rd

  • Campus address

    Main Site, The Foundation Building, Brownlow Hill, Liverpool, Liverpool, L69 7ZX, United Kingdom

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

    18th out of 123 2

    28th out of 117 3

  • Entry standards

    / Max 217
    148 68%

    27th

  • Graduate prospects

    / Max 100
    83.0 83%

    17th

    1
  • Student satisfaction

    / Max 4
    3.12 78%

    45th

    2
  • Entry standards

    / Max 223
    150 67%

    34th

  • Graduate prospects

    / Max 100
    94.0 94%

    12th

    21
  • Student satisfaction

    / Max 4
    3.01 75%

    68th

    5

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