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    Finance and Data Analytics,MSc
    Go to Birkbeck, University of London
    Birkbeck, University of London

    Finance and Data Analytics,MSc

    Birkbeck, University of London

    Birkbeck, University of London

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    United Kingdom, London

    University RankQS Ranking
    408

    Key Facts

    Program Level

    Master by Course Work

    Study Type

    Full Time

    Delivery

    On Campus

    Campuses

    Main Site

    Program Language

    English

    Start & Deadlines

    Next Intake DeadlinesOctober-2026
    Apply to this program

    Go to the official application for the university

    Duration 1 year(s)
    Tuition Fee
    GBP 24,390  / year
    Next Intake October-2026

    Finance and Data Analytics,MSc

    About

    Course Overview

    Our MSc Finance and Data Analytics is ideal if you are keen to gain specialisation in data analytics with core knowledge in finance. It offers you a blend of technical, quantitative modules in data analytics, alongside accounting and finance modules that will develop your ability to apply data analytics and technology to related practices and real-world examples.

    Why choose this course?

    • It will help you become a specialist in the field understanding advanced systems and sophisticated financial instruments, as international markets become ever more complex and the financial world’s need for innovation and new technologies intensifies.
    • You will learn from experienced lecturers with academic expertise and industry experience who can provide you with valuable insights into both finance and data analytics.
    • You will have the chance to take part in exclusive career events and networking opportunities with leading financial firms to help open doors to internships and future employment.

    What you will learn

    This course offers you hands-on experience and equips you with skills that are sought after in the evolving finance sector. You will gain expertise in advanced financial modelling and will master the use of advanced data analysis tools, including R and machine learning, to analyse financial data and make informed decisions.

    An emphasis on practical applications using advanced analytical tools will prepare you for success in roles in financial analysis, risk management and data-driven decision-making.

    How you will learn

    You will benefit from a dynamic blend of interactive lectures, seminars and workshops, where practical skills are developed through real-world case studies.

    You can study this course full- or part-time, and it has an evening timetable with classes in the evening so you can balance your studies while still progressing your career.

    Discover the career opportunities available by taking Finance and Data Analytics (MSc).

    Requirements

    Entry Requirements

    This degree is designed for graduates who are new to data analytics. Our standard postgraduate entry requirement is a second-class honours degree (2:2 or above) from a UK university, or an equivalent international qualification.

    As this degree is heavily quantitative in nature, some prior experience in quantitative skills would also be beneficial. For applicants with a lower level of experience in statistics, a short introductory course on statistics will be provided.

    Applications are reviewed on their individual merits and your professional qualifications and/or relevant work experience will be taken into consideration positively. We actively support and encourage applications from mature learners.

    On your application form, please list all your relevant qualifications and experience, including those you expect to achieve.

    Apply now to secure your place. The earlier you apply, the sooner your application can be considered and you can enrol. You do not need to have completed your current qualification to start your application.

    English Program Requirements

    If English is not your first language or you have not previously studied in English, our usual requirement is the equivalent of an International English Language Testing System (IELTS Academic Test) score of 6.5, with not less than 6.0 in each of the sub-tests.

    If you don't meet the minimum IELTS requirement, we offer pre-sessional English courses and foundation programmes to help you improve your English language skills and get your place at Birkbeck.

    Visit the International section of our website to find out more about our English language entry requirements and relevant requirements by country.

    Career

    On successfully graduating from this MSc Finance and Data Analytics you will have gained an array of important transferable skills, including in:

    • advanced data analysis and statistical modelling
    • financial modelling with industry or finance world applications
    • strong financial decision-making through the application of financial theory and data insights
    • problem-solving and critical thinking, essential for navigating complex financial challenges
    • effective communication of technical data and analytical findings to both technical and non-technical audiences
    • conducting independent research.

    You will find finance and data analytics graduates progressing their studies further at PhD level or working for financial institutions, including investment banks, hedge funds and insurance firms, in roles such as:

    • financial data scientist
    • risk analyst
    • quantitative analyst
    • portfolio manager
    • financial risk manager
    • investment analyst.

    If you are interested in further study, it will also provide you with a strong foundation for PhD research in this area.

    We offer a comprehensive careers service - Careers and Enterprise - your career partner during your time at Birkbeck and beyond. At every stage of your career journey, we empower you to take ownership of your future, helping you to make the connection between your experience, education and future ambitions.

    Fee Information

    Tuition Fee

    GBP 24,390 

    Application Fee

    GBP  
    Birkbeck, University of London

    Finance and Data Analytics,MSc

    Birkbeck, University of London

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    United Kingdom,

    London

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