MSc Finance and Data Analytics


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, Eikon and S&P Capital IQ.

Other features of the course include the Amplify Trading Boot Camp, where you can get first-hand experience of real-world trading, and the Student Managed Investment Fund, which provides experience of managing actual funds through targeted investments. All these features help to enhance employability, give you practical skills, and play a part in a world-leading student experience. Students can also exit with PGCert and PGDip awards.

Course objectives

Over the course of your studies on this Masters course you will:

  • 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
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  • Flying Start Leadership Programme (MANPFSL)
  • Corporate Finance (INVP001)
  • Representing and Manipulating Data (ITNPBD2)
  • Quantitative Methods in Finance (BFIP013)
  • Blockchain Technologies (ITNPFT1)
  • Machine Learning (ITNPBD6)
  • Applied Data Analytics Using R (ECNP003)
  • Empirical Methods in Finance and Accounting (ACCP009)
  • Behavioural Finance (FINP006)
  • Financial Risk Assessment (FINP007)
  • Investment Regulation and Ethics (INVP005)
  • Derivatives (INVP010)
  • Investments: Equity Portfolios and Pricing (INVP012)
  • Investments: Fixed Income and Alternative Investments (INVP013)
  • Cluster Computing (ITNPBD7)
  • Stochastic Processes and Optimisation (MATPMD4)
  • Dissertation (FINP099)
  • £22,900 Per Year

    International student tuition fee

    1 Year


    Sep 2024

    Start Month

    Aug 2024

    Application Deadline

    Upcoming Intakes

    • September 2024

    Mode of Study

    • Full Time