University of Birmingham - College of Engineering and Physical Sciences

MSc Financial Data Science

Discover why we are the UK university most targeted by top graduate employers ('Graduate Market in 2024' High Fliers report) at our on-campus Postgraduate Open Day.

This programme is a 1-year full-time taught master's degree (180 credits) consisting of 120 credits of taught modules and a 60 credit research project. The dissertation is completed under the direction of a project supervisor who will give you the opportunity to work one-to-one with a leading expert in their field.

The modules listed below are an indication only and may be subject to change. Occasionally, it may be necessary to make changes to modules, for example, to ensure they remain current and relevant.

Core modules

Module Title

• Algorithmic and High-Frequency Trading
• Deep Learning 1
• Financial Data Science Project
• Foundations of Statistical Inference
• Time Series and Prediction

Optional modules

Select 70 credits of options. Examples of optional modules below:

Module Title

• Bayesian Inference and Computation
• Advanced Mathematical Finance
• Computational Statistics
• Data Visualisation
• Deep Learning 2
• Financial Mathematics
• Interest Rate and Credit Risk Modelling
• Largescale Optimization for Machine Learning
• Mathematical Finance
• Mathematical Securitisation
• Quantitative Funds Management
• Statistical Machine Learning
• Statistical Modelling
• Stochastic Processes

Graduates of our MSc Financial Data Science programme are equipped with a versatile skill set that opens doors to a wide range of career opportunities in the financial industry and beyond. Some potential career paths include:

1. Quantitative Analyst: Utilise advanced mathematical and statistical techniques to develop and implement quantitative models for pricing securities, managing risk, and optimising investment strategies.
2. Data Scientist: Apply data mining, machine learning, and statistical analysis techniques to extract insights from financial data, informing strategic decision-making and enhancing business performance.
3. Financial Engineer: Design and develop innovative financial products and solutions, leveraging computational techniques and quantitative methods to address complex financial challenges.
4. Risk Analyst: Assess and manage financial risks by analysing market trends, evaluating creditworthiness, and developing risk mitigation strategies using statistical models and data analysis tools.
5. Investment Analyst: Conduct in-depth research and analysis of financial markets, companies, and investment opportunities to support investment decision-making and portfolio management strategies.
6. Financial Technology (FinTech) Specialist: Innovate and develop technological solutions for financial services, such as algorithmic trading platforms, robo-advisors, and blockchain applications, integrating data science techniques to optimise efficiency and performance.
7. Consultant: Provide strategic advice and consulting services to financial institutions, corporations, and government agencies on a wide range of financial and data-related issues, leveraging expertise in finance, mathematics, statistics, and data science.

Overall, graduates of our program are well-positioned to pursue rewarding careers in various sectors of the financial industry, driving innovation and contributing to the advancement of data-driven decision-making in finance and beyond.

University Careers Network

Preparation for your career should be one of the first things you think about as you start university. Whether you have a clear idea of where your future aspirations lie or want to consider the broad range of opportunities available once you have a Birmingham degree, our Careers Network can help you achieve your goal.

Our unique careers guidance service is tailored to your academic subject area, offering a specialised team (in each of the five academic colleges) who can give you expert advice. Our team sources exclusive work experience opportunities to help you stand out amongst the competition, with mentoring, global internships and placements available to you. Once you have a career in your sights, one-to-one support with CVs and job applications will help give you the edge.

Our world-class research and a vibrant, global student community are at the heart of our School of Mathematics. You'll take part in tutorials and projects to consolidate your learning. In the third term, you'll work with your personal supervisor to conduct a research project.

• Learn about cutting-edge developments in your chosen areas of interest, with lectures delivered by world-leaders in their fields.
• Receive tailored guidance and feedback in tutorials, enabling you to tackle specific challenges and enhance comprehension of the material.
• Participate in projects that bridge theoretical knowledge with practical applications, enhancing your understanding and retention of concepts.
• Enhance your critical thinking and problem-solving abilities through practical assignments that will challenge you to tackle real-life issues independently.