Birkbeck, University of London

Master in Quantitative Finance with Data Science (2 Years)

London, United Kingdom

The Master in Quantitative Finance with Data Science (2 Years) at Birkbeck, University of London is a program for international students taught in English.

Introduction

Birkbeck, University of London, a public research university in London, offers you a unique opportunity to study in the heart of the city. As a working professional or adult learner, you'll appreciate the flexible study options, including evening teaching. This institution stands out for its research focus, accessibility, and diverse student body.

Birkbeck has 441 programs available, covering arts, humanities, law, science, social sciences, business, and psychology. Specifically, the university's research strengths lie in Arts and Humanities, Social Sciences, and Psychology. You can explore different fields, from business to medicine, and take advantage of the university's strong research-intensive environment.

As a student, you'll be based in Bloomsbury, with access to the university's main campus, as well as satellite campuses in Stratford, Hackney, and East London. You'll be part of a diverse student population of 13,937, including 1,270 international students from over 120 countries. London's vibrant cultural and social scene is at your doorstep, providing many opportunities for work experience, networking, and cultural exploration.

About the Program

The Master in Quantitative Finance with Data Science is a 2-year program at Birkbeck, University of London, providing training in advanced mathematical finance and data science skills. It's for students who want to work in modern financial institutions. This program helps you develop expertise in mathematical techniques and statistical tools used in the finance industry.

The curriculum covers statistical analysis, numerical mathematics, machine learning, and computer programming, with applications focused on real-world problems in finance. You'll acquire skills in option pricing, risk management, numerical implementation, and coding in languages like Python, R, Matlab, and C++. The program also provides knowledge of derivative pricing, risk quantification, portfolio management, and financial time series.

Graduates of this program can pursue careers as Quantitative Analysts, Risk Managers, Portfolio Managers, Data Scientists, or Financial Engineers. They can work in investment banks, hedge funds, asset management companies, or financial regulatory bodies, using their skills to analyze data, manage risk, and make informed investment decisions.

Similar Programs You Can Apply To

Direct application via Global Admissions is not available for this program. Browse similar partner programs below or visit the university's site to apply directly.

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