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    MSc Quantitative Finance
    Go to The University of Manchester
    The University of Manchester

    MSc Quantitative Finance

    The University of Manchester

    The University of Manchester

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    United Kingdom, Manchester

    University RankQS Ranking
    35

    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 DeadlinesJanuary-2026
    Apply to this program

    Go to the official application for the university

    Duration 1 year(s)
    Tuition Fee
    GBP 36,800  / year
    Next Intake January-2026

    MSc Quantitative Finance

    About

    • Gain a good understanding of asset pricing and investment.
    • Understand the main theories of finance, the CAPM and the Black-Scholes model.
    • Learn more interest rate models and interest rate derivatives.

    Our MSc Quantitative Finance programme is particularly suitable for students with a degree in Finance, Financial Economics, Actuarial Science, Engineering, and Mathematics (see  entry requirements ), as well as relevant work experience (non-compulsory). It is also suited to those wishing to gain salary enhancements, or students wishing to pursue advanced studies in quantitative finance.

    • Learn how to forecast and manage risk and return
    • Gain the skills to price any financial instrument
    • Learn how to engineer new methods and financial products
    • Build advanced knowledge of the main theoretical and applied concepts in quantitative finance, financial engineering and risk management, using current issues to stimulate your thinking
    • Prepare for careers involving the design and management of new financial instruments, the development of innovative methods for measuring, or predicting and managing risk.

    CFA training

    We have teamed up with Kaplan Schweser to facilitate student preparation for the CFA exams.

    • MSc Accounting , MSc Accounting and Finance , MSc Finance and MSc Quantitative 20 best performing students from semester 1 who show a strong interest in CFA, will get free access to Kaplan's online training materials for CFA Part One.
    • Gain student support from Kaplan with access to tuition material, online question banks and progress tests, and mock exam runs. Plus tutor support and 1-2-1 sessions.
    • The CFA Program builds a strong foundation of advanced investment analysis and real-world portfolio management skills.
    • Take the first step to earning the Chartered Financial Analyst ® (CFA) credential to prepare for the Level I exam
    • The CFA is the most respected and recognised investment designation in the world.

    Trading BootCamp Week

    Together with Amplify Trading , a global financial trading and training firm, we offer a week long Trading BootCamp for MSc Accounting, MSc Accounting and Finance, MSc Finance and MSc Quantitative Finance course students.

    • experience a live trading floor provided by two experienced traders with specialist software
    • engage with contemporary financial markets and apply your classroom theory in practice
    • watch live breaking news, economic data and geo-political events, and use your knowledge and skills in trading different asset classes
    • a fantastic opportunity to prepare you for successful careers after graduation.

    The Finance Zone   

    • gain access to one of the UK's most comprehensive collections of specialist financial and business databases that are used by top researchers around the world.
    • Databases include Bloomberg, Datastream, Thomson ONE, Compustat, WRDS, Capital IQ and many more. Read more about the specialist financial and business databases

    Disciplines

    Master of Science (MSc)

    Requirements

    Entry Requirements

    We require a First or Upper Second class honours degree (2:1, with 60% average) from a UK university or the overseas equivalent.

    • You ideally need a a degree in finance, economics, mathematics, statistics, physics, engineering, actuarial or decision sciences and have taken or be taking a significant number of modules in quantitative subjects, such as differential equations, econometrics or mathematical statistics in the final year of your degree, with excellent results
    • A GMAT/GRE is not required to apply for this course but in some cases The Admissions Team may request this after the initial review of your application if your degree does not contain enough relevant quantitative modules.
    • When assessing your academic record, we take into account your grade average, position in class and the standing of the institution where you studied your qualification.

    Full entry requirements

    English Program Requirements

    For the latest information on demonstrating your English proficiency for those whose first language is not English, please see our language requirements .

    Career

    Career opportunities

    This course provides ideal preparation for a career in the finance industry specialising in designing and trading financial instruments. These financial engineers are expected to be proficient in computer programming and strong in financial mathematics. They have to be at ease with complex derivatives and creative enough to find solutions for pricing and hedging. The course also provides research skills for those who wish to pursue an academic career by studying at doctoral level.

    Recent recruiters

    Armacell, Bank of Thailand, Barclays Capital, Bloomberg, China Merchants Bank, CIBC World Markets, Citigroup, Hewitt Associates, KPMG, Matrix, MFC Fund and Schlumberger.

    Read more about graduate career destinations >>

    Read about our Postgraduate Careers Service >>

    Read the latest information on visa changes and opportunities in the UK for international students >>

    Fee Information

    Tuition Fee

    GBP 36,800 

    Application Fee

    GBP  
    The University of Manchester

    MSc Quantitative Finance

    The University of Manchester

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    United Kingdom,

    Manchester

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