Quantitative Finance with Data Science Birkbeck, University of London

Overview

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

Birkbeck, University of London, is renowned for its commitment to delivering high-quality education in finance, having been one of the pioneers in offering postgraduate finance courses. The university has a strong reputation within the financial industry, and its qualifications are highly regarded by employers. In the most recent 2021 Research Excellence Framework, Birkbeck was ranked in the top 25 universities in the UK for Economics and Econometrics research. The university's finance courses integrate research and teaching across various disciplines, including economics, finance, mathematics, and statistics, ensuring students receive a well-rounded education. Birkbeck's facilities are tailored to support evening study, allowing students to balance their educational pursuits with work and personal commitments. The teaching staff consists of experts in economics and international finance, providing students with insights from seasoned professionals. Moreover, the university actively encourages networking through seminars and events, enhancing the learning experience and fostering valuable connections within the industry.

Tuition Fee Breakdown

The tuition fees for the MSc in Quantitative Finance with Data Science are as follows:

• Full-time international students: £25,200 per year
• Part-time international students: £12,600 per year
• Full-time home students: £14,880 per year
• Part-time home students: £7,440 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The MSc programme comprises a comprehensive curriculum designed to impart both theoretical knowledge and practical skills. Students are required to complete modules worth a total of 180 credits, including:

• Credit Risk Management
• Financial Data Science with Python
• Financial Econometrics
• Financial Modelling and Data Science
• Market Risk Management
• Quantitative Techniques
• Statistical Analysis
• Statistical Learning
• MSc Dissertation in Economics and Finance

This structure ensures that students develop a robust understanding of quantitative finance, data science tools, and their applications in real-world financial scenarios.

Industry Demand

The skills acquired through this programme are highly sought after in various sectors, particularly in finance, where the demand for professionals adept in quantitative analysis and data science continues to grow. Graduates are well-positioned to enter a dynamic job market, contributing to fields such as risk management, financial modelling, and data analysis.

Careers with Quantitative Finance with Data Science

Graduates of the MSc in Quantitative Finance with Data Science will find themselves equipped for a variety of roles within the financial sector. Alumni have successfully secured positions as:

• Quantitative analysts and developers in investment banks
• Financial model validators
• Data scientists
• Portfolio managers
• Investment strategists for banks and hedge funds
• Analysts within the Bank of England or the Treasury

Many graduates have taken up employment with leading financial institutions such as Citibank, JP Morgan, and Barclays, showcasing the programme's effectiveness in preparing students for successful careers in finance.