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MSc Finance and Data Analytics

University of Stirling

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    University of Stirling

  • Study mode

    Full time

  • Start date

    22-SEP-25

  • Duration

    12 months

Course summary

Overview

As the modern financial industry increasingly turns to big data to inform investment decisions, there is a growing demand for professionals with a specialisation in data analytics. This course equips you with data analysis skills that are in short supply and can be utilised in algorithmic trading, machine learning and artificial intelligence applications.

As you study, you’ll develop core skills in finance, investments and data analytics – all of which can be applied in a final dissertation on a finance-related topic of your choice. You’ll also be taught how to use programming languages (e.g. Python, R) to analyse data and get a thorough understanding of core financial theory and investment practices. In addition, you'll have the opportunity to use professional financial databases, such as Bloomberg and S&P Capital IQ.

Course objectives

Over the course of your studies on this Masters course you'll:

  • gain deep understanding of finance theories;
  • acquire skills in programming languages;
  • develop knowledge and skills in analysing data to inform investment decisions;
  • enhance your critical and analytical skills.

Tuition fees

Students living in Hong Kong
(International fees)

£ 22,900per 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 of Stirling

  • University League Table

    53rd

  • Campus address

    University of Stirling, University of Stirling, Stirling, Stirling, Stirling, FK9 4LA, United Kingdom

Subject rankings

  • Subject ranking

    37th out of 103 5

    59th out of 117 5

  • Entry standards

    / Max 227
    175 77%

    8th

  • Graduate prospects

    / Max 100
    71.0 71%

    35th

    25
  • Student satisfaction

    / Max 4
    3.08 77%

    65th

    13
  • Entry standards

    / Max 227
    151 67%

    32nd

  • Graduate prospects

    / Max 100
    77.0 77%

    74th

    5
  • Student satisfaction

    / Max 4
    2.84 71%

    100th

    3

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