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Financial Data Science at University of Surrey - UCAS

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

Why choose this course Data science has become essential in managing many day-to-day aspects of financial markets over the past two decades. Using data sets, banks and financial institutions can unravel all kinds of facts, trends, anomalies and patterns – but only with the right technical skills and understanding. Our cutting-edge course combines artificial intelligence (AI), data science, financial modelling and economic theory, and grounds you in the latest thinking in this area. Taught by expert staff and supported by industrial advisers from financial City institutions, and studying in Guildford – within easy reach of London’s financial hub – the course will greatly enhance your employability in financial and related areas. What you will study You’ll learn how to implement cutting-edge data science methods and develop a solid understanding of the mathematical foundations of machine learning tools. You’ll also dive into the dynamics of financial markets – exploring asset pricing, risk management and portfolio theory. You will master advanced modelling techniques and quantitative methods to analyse real-world financial data, and you’ll discover the transformative power of AI and machine learning in deciphering market behaviours and making data-driven predictions. Through practical hands-on exercises and projects, you’ll gain the skills to apply these techniques effectively, enabling you to excel in this evolving and exciting field. The MSc benefits from the wide range of mathematics research at Surrey. These inform the taught modules you will study and the topic of your extended research project.

Modules

To see the full range of modules for this course please visit our website – the link is under the Course contact details, to the bottom right. You will also find full details of the programme, including programme structure and Graduate prospects etc.


How to apply

International applicants

We are proud to be one of the most culturally diverse universities in the UK, with more than 140 nationalities playing a role in university life. Our International Recruitment team are here to help you throughout the application process – from advising on choosing the right course to applying for a visa and preparing for your first few weeks at Surrey. You can contact them via [email protected] Applicants who require a Student Visa to study in the UK: To apply for a Student Visa, you must have a Confirmation of Acceptance (CAS) for the University you wish to study at. This is a unique number which will enable you to apply for your visa. The University is under no legal obligation to sponsor any individual and exercises caution with respect to issuing a Confirmation of Acceptance for Studies (CAS) to avoid risking its status as a Student sponsor. Confirmation of Acceptance to Study (CAS) will be issued in accordance with the Student Route and CAS Issuing Policy, available at: https://www.surrey.ac.uk/apply/policies

Entry requirements

A minimum of a 2:2 in a relevant UK honours degree, or a recognised equivalent international qualification. Your qualification should demonstrate basic knowledge and understanding in calculus, linear algebra, probability, and statistics. Specifically, you are suited to this course if your qualification has a reasonable level of mathematical contents in subjects such as mathematics, finance, economics, business, science, engineering, or computing. You may also be considered for the course if you have other professional qualification or experience of equivalent standing. English language requirements IELTS Academic: 6.5 overall with a 6.0 in writing and 5.5 in each other element.


Fees and funding

Tuition fees

No fee information has been provided for this course

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

FEES: For current information regarding postgraduate fees, please visit the course page on our website. The link is under Course contact details. SCHOLARSHIPS AND BURSARIES: Discover how we may be able to support your postgraduate taught studies with a host of bursaries and scholarships directly from the University of Surrey and external providers: https://www.surrey.ac.uk/fees-and-funding/scholarships-and-bursaries?field_student_level_value[postgraduate]=postgraduate

Sponsorship information

The University of Surrey offers a range of scholarships and bursaries to support our students, please visit https://www.surrey.ac.uk/fees-and-funding/scholarships-and-bursaries for more details.

Financial Data Science at University of Surrey - UCAS