Mathematical Data Science MSc

at University of Surrey

Core modules

• Data Science for Dynamical Systems
• Data Science Principles and Practices
• Mathematics of Data Science
• Topics in Applied Statistics.
   

Optional modules

• Bayesian Inference for Data Science
• Dynamic Asset Pricing Theory
• Image Processing and Deep Learning
• Machine Learning and Data Mining
• Mathematical Modelling of Markov Chain Monte Carlo
• Statistical Methods with Financial Applications.
   

Modules

Modules listed are indicative, reflecting the information available at the time of publication. Please note that modules may be subject to teaching availability, student demand and/or class size caps.
 

The University operates a credit framework for all taught programmes based on a 15-credit tariff. Modules can be either 15, 30, 45, 75 and 120 credits, and additionally for some masters dissertations, 90 credits.

Year 1

• Bayesian Inference For Data Sciences
• Data Science For Dynamical Systems
• Dynamic Asset Pricing Theory
• Mathematical Biology And Physiology
• Principles Of Data Science
• Advanced Topics In Computer Vision And Deep Learning
• Mathematical Modelling Of Markov Chain Monte Carlo
• Statistical Methods With Financial Applications
• Symplectic Numerical Methods
• Topics In Applied Statistics
• Dissertation
   

A minimum of a 2:1 in a relevant UK honours degree in Mathematics or related areas (such as Physics or certain areas of Engineering and Computer Science).
 

English language requirements

IELTS Academic: 6.5 overall including 6.0 in Writing and 5.5 in each other component.
 

Postgraduate

To apply for one of our postgraduate courses that require a UK 2:1, you must achieve at least 60% or 65% in the final two years of your undergraduate study depending on the institution you have completed your degree.
 

To apply for one of our postgraduate courses that require a UK 2:2, you must achieve at least 55% or 60% in the final two years of your undergraduate study depending on the institution you have completed your degree.
 

For courses that require a UK first-class degree to be eligible for a scholarship, you must achieve at least 65% or 70% in the final two years of your undergraduate study depending on the institution you have completed your degree.

Full-time - 1 year
 

UK
£10,100
 

Overseas
£23,100
 

Please note:

• These fees apply to students commencing study in the academic year 2022-23 only. Fees for new starters are reviewed annually
• If you are on a two-year full-time Euromasters or MFA programme, or a two-year or three-year part-time masters programme (excluding modular/self-paced/distance learning), the annual fee is payable in Year 1 and Year 2 of the programme
• Annual fees will increase by 4% for each subsequent year of study, rounded up to the nearest £100, subject to any overriding applicable legislative requirements.

We offer careers information, advice and guidance to all students whilst studying with us, which is extended to our alumni for three years after leaving the University. Our graduates have lifetime access to Surrey Pathfinder, our online portal for appointment and events bookings, jobs, placements and interactive development tools.
 

The University of Surrey has an excellent record for graduate employability. We were named University of the Year for Graduate Employment in The Times/Sunday Times Good University Guide for 2022. We also run an award-winning Professional Training Placements scheme, which gives students industry experience and prepares them for roles in various sectors.
 

Mathematics is of paramount importance to all aspects of science, technology and modern finance. The logical insights, analytical skills and intellectual discipline gained from mathematical studies are highly sought after in all of these areas, as well as in a broad range of other disciplines such as law, business, management, ecommerce and the creative arts.
 

As well as being designed to allow candidates to meet the needs of future employers, our MSc provides a solid foundation from which to pursue further research in mathematics, or one of the many other disciplines to which mathematical ideas and techniques are applied. In particular, as a data scientist or a machine learning engineer, you’ll be well positioned for a range of specialist roles.