Course summary
In an era defined by data, proficiency in statistics and data science is indispensable. Our programme empowers you with advanced statistical techniques and machine learning algorithms tailored specifically for the financial services industry. Through hands-on projects and real-world applications, you will gain practical experience in harnessing data to drive informed financial decisions. The core modules cover essential topics including statistical inference, deep learning, time series analysis, and algorithmic trading. These modules equip you with the foundational knowledge and practical skills needed to analyse financial data effectively and make informed decisions in a dynamic market environment. In addition to the core modules, you have the opportunity to tailor your learning experience by choosing from a range of optional modules. These modules explore advanced topics such as financial mathematics, statistical modelling, machine learning, computational statistics, and stochastic processes, allowing you to specialise in areas of particular interest. Throughout the programme, you engage in hands-on learning experiences, including practical projects and case studies that apply theoretical concepts to real-world financial datasets. You also benefit from guest lectures and seminars delivered by industry experts, providing valuable insights into current trends and practices in the financial industry. Overall, our MSc Financial Data Science programme offers a comprehensive and interdisciplinary approach to financial education, preparing you for a wide range of careers in finance, data analysis, and financial technology. With a focus on practical skills, industry engagement, and experiential learning, our programme equips you with the tools and expertise needed to succeed in today's competitive job market. Why study Financial Data Science Masters at Birmingham?
- We offer a unique opportunity to master the tools needed to navigate the complexities of modern finance by combining expertise in finance, mathematics, statistics, and data science
- Through hands-on learning and collaboration with industry experts, you gain practical skills and insights essential for success in investment banking, asset management, and financial technology.
- You benefit from guest lectures and seminars delivered by industry and/or subject experts, providing valuable insights into current trends and practices in the financial industry.
- We commit to fostering a collaborative learning environment. Through group projects, seminars, and networking events, you engage with peers and industry professionals, building valuable connections and honing 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
Provider information
University of Birmingham
Edgbaston
Birmingham
B15 2TT