Quantitative Finance with Data Science,MSc

Birkbeck, University of London

United Kingdom, London

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408

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Home/United Kingdom/London /Birkbeck, University of London/Quantitative Finance with Data Science,MSc

Birkbeck, University of London

United Kingdom , London

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 25,200 / year

Next Intake October-2026

Quantitative Finance with Data Science,MSc

About

Course Overview

This MSc Quantitative Finance with Data Science continues Birkbeck’s long and successful history of addressing in-demand skills in the financial sector. It provides you with a comprehensive curriculum that delivers fundamental quantitative knowledge for financial markets, practical programming skills in Python and R, a solid foundation in statistics and the application of data science tools in a financial context.

Why choose this course?

This course is ideal if you want to develop your quantitative skills and use them to succeed in a wide range of roles in finance.
It offers you in-depth coverage of both market and credit risk management which are especially relevant in today’s recruitment arena.
You will benefit from being taught by experts in the fields of economics and international finance and learn alongside committed, enthusiastic students with a diverse range of experiences.

What you will learn

With an emphasis on practical application, this MSc is designed to equip you with the necessary skills to embark on an exciting career within the modern financial landscape. You will gain in-depth knowledge of data science tools alongside quantitative and statistical techniques and specialist knowledge of financial modelling and risk quantification, including:

identifying and managing major sources of risk in financial markets
understanding the role of financial derivatives, their use (and misuse) and how they are modelled
using Python and R to perform mathematical and statistical investigations using data science tools
analysing financial data with a view to detecting trends, forecasting financial variables and building risk models.

How you will learn

You will be able to choose between full- and part-time study on this course. It has an evening timetable with classes taking place in the evening, so you can balance your studies with other commitments, including work and family.

Teaching on this course is via lectures on campus which are also pre-recorded so you can return to them for further investigation. You will also gain valuable opportunities to broaden your knowledge by attending seminars and networking events both inside and outside of Birkbeck.

Discover the career opportunities available by taking Quantitative Finance with Data Science (MSc).

Requirements

Entry Requirements

The normal entry requirement is a second-class honours degree (2:2) or above from a UK university, or overseas equivalent, in a quantitative subject such as mathematics, physics, statistics, economics or engineering. Graduates from other disciplines such as computer science will be accepted if their degree contains a major quantitative element.

In some circumstances, we are able to admit students with an undergraduate degree that is less than the 2:2 standard, provided that your subsequent work experience and/or education and training is considered to have brought you to an equivalent standard.

Alternatively, a merit or higher in a Graduate Diploma in economics, mathematics or statistics would be suitable.

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 Quantitative Finance with Data Science, you will have gained an array of important transferable skills, including in:

problem solving
time management
conducting independent research
reading and understanding research papers and articles with confidence.

You will find quantitative finance and data science graduates progressing their studies further at PhD level or in the following quantitative analyst/developer roles across a range of financial institutions, including investment banks, hedge funds and insurance firms:

analyst/adviser in the risk management sector
financial model validator
data scientist
portfolio manager
financial data scientist
investment strategist for a bank, pension fund or hedge fund
analyst within the Bank of England or Treasury.

Some of our recent graduates have gone on to be employed at:

investment banks, including Citibank, Bank of America, JP Morgan, Santander, Barclays, BNP Paribas, UBS, Deutsche Bank, Commerzbank, Lloyds
Ofgem
consultancy firms including Tata, Capco, Mitsubishi UFG Financial Group, Insight Investment
Moodys
Quilter.

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.