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Financial Data Science at University of Birmingham - UCAS

Course options

Course summary

Propel your career in the financial sector to new heights. With a blend of finance, mathematics, statistics and data science, you’ll gain practical experience in harnessing data to inform decisions. With a focus on practical skills, industry engagement, and experiential learning, you’ll be equipped to succeed in today's competitive job market. Open up a world of opportunities from quantitative analysis and data science, to financial engineering and risk analysis. Study advanced statistical techniques and machine learning algorithms tailored specifically for the financial services industry. We blend foundational knowledge with hands-on projects. You'll cover essential topics including statistical inference and deep learning, time series analysis, and algorithmic trading. With lots of module choice, you can also specialise in areas that really interest you. Benefit from guest lectures and seminars delivered by leading industry and subject experts, providing valuable insights into current trends and practices in the financial sector. Immerse yourself in a collaborative learning environment through group projects, seminars, and networking events. Engage with peers and industry professionals to build valuable connections and enhance your teamwork and communication skills.

Assessment method

You will delve into master's-level coursework that intricately blends advanced theoretical concepts with real-world applications of statistics and data science in the financial services industry. The curriculum is richly augmented with contemporary computational techniques reflecting the dynamic nature of the data science and finance landscape. Your academic journey will be further enriched by a hands-on research project, mentored by leading figures in the realms of data science and finance. This combination of advanced coursework and practical research experience is designed to provide comprehensive training in analysis of data within the context of the financial sector. Throughout the program, you will develop robust interdisciplinary research skills and refine your ability to communicate complex ideas effectively.


Entry requirements

A 2:1 Honours degree in Mathematics and/or Statistics or a programme with advanced mathematical and/or statistical components. This programme is aimed at students who have previously completed an undergraduate degree with significant mathematical or statistical content and who wish to pursue postgraduate studies to a master level.


Fees and funding

Tuition fees

England £10530 Year 1
Northern Ireland £10530 Year 1
Scotland £10530 Year 1
Wales £10530 Year 1
International £27270 Year 1

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Financial Data Science at University of Birmingham - UCAS