Financial Data Science
Entry requirements
In Mathematics and/or Statistics or a programme with advanced mathematical and/or statistical components.
Months of entry
September
Course content
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.
Information for international students
Standard English language requirements apply (IELTS 6.0 with no less than 5.5 in any band).
Fees and funding
Please refer to Postgraduate Taught Fees - University of Birmingham for more information.
Qualification, course duration and attendance options
- MSc
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Admissions Team
- eps-apply@contacts.bham.ac.uk