Taught course

Financial Data Science Masters/MSc

University of Birmingham · School of Mathematics

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.

Months of entry


Course content

Our MSc Financial Data Science programme is a ground-breaking fusion of finance, mathematics, statistics and data science, designed to propel your career in the financial industry to new heights.

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.

Information for international students

English language

For students whose first language is not English, one of the following English language qualifications is required:

  • IELTS 6.0 with no less than 5.5 in any band
  • TOEFL: 80 overall with no less than 19 in Reading, 19 in Listening, 21 in Speaking and 19 in Writing
  • Pearson Test of English (PTE) including online: Academic 64 with no less than 59 in all four skills
  • Cambridge English (exams taken from 2015): Advanced – minimum overall score of 169, with no less than 162 in any component

Fees and funding

UK students
International students

Funding opportunities are available.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Admissions Team