MSc Quantitative Finance with Data Science

This course provides students with a comprehensive understanding of quantitative finance and data science techniques. Students will learn how to apply statistical and machine learning techniques to financial data, as well as how to use programming languages such as Python and R to analyze and manipulate financial data. The course covers topics such as financial markets and instruments, risk management, portfolio optimization, and algorithmic trading. In addition, students will have the opportunity to work on practical projects and develop their skills in data analysis and visualization.

Additional Information

This course is ideal for students who are interested in pursuing a career in quantitative finance or data science. It is also suitable for professionals who want to gain advanced knowledge and skills in these areas. The course is taught by experienced academics and industry professionals, and students will have access to state-of-the-art facilities and resources.

Why Study Quantitative Finance with Data Science at Birkbeck University of London?

Birkbeck University of London is a world-class institution with a reputation for excellence in teaching and research. Our faculty members are experts in their fields and are passionate about providing our students with the best possible education. We offer a supportive learning environment that fosters collaboration, creativity, and critical thinking. By choosing to study at Birkbeck, you will be part of a vibrant academic community that is committed to achieving excellence in all aspects of its work.

This MSc Quantitative Finance with Data Science provides you with training in advanced mathematical finance and the skills in data science needed for a career in modern financial institutions.

• The range of topics covered includes:

• statistical analysis

• numerical mathematics

• machine learning

computer programming with applications focused on real-world problems in finance.

This Master's degree provides you with substantial knowledge and understanding of mathematical techniques that are commonly used in the finance industry including derivative pricing, risk quantification, and portfolio management, as well as the statistical tools that are commonly used, such as forecasting, hypothesis testing, volatility models, financial time series.

You will find quantitative finance and data science graduates 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

• Portfolio management

• Financial data scientist

• Machine learning engineer

• Analyst within the Bank of England and Treasury

We offer a comprehensive Careers Service - Birkbeck Futures - 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.

20 hours of work permit weekly for international students.