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Mathematical Data Science MSc

Different course options

Study mode

Full time


1 year

Start date


Key information

Qualification type

MSc - Master of Science

Subject areas

Mathematics (General) Data Science

Course type


Course Summary

Why choose this course

Data science has become increasingly important in many areas over the past two decades. These include banking, finance, insurance, weather forecasting, image analysis, genomics, advertising, transport and elections. The discipline is even used in policing and crime prevention. Data sets can unravel all kinds of facts, trends, anomalies and patterns – but only with the right technical skills!

Mathematical data science is an interdisciplinary area of applied mathematics. It combines methods and techniques from a broad range of pure and applied subjects within maths to develop approaches that enables us to investigate large data sets. These techniques include:

  • Data representation
  • Information theory
  • Machine learning optimisation
  • Modelling
  • Numerical methods
  • Statistical analysis
  • Stochastics.

The objective of our MSc in Mathematical Data Science is to guide you through a range of sophisticated mathematical ideas underlying modern data science. You’ll understand the mechanisms for modelling data-producing dynamical phenomena. We’ll also equip you with both the theoretical and the computational skills to analyse and extract information from large data sets.

What you will study

Our MSc benefits from the wide range of research being carried out in the?Department of Mathematics. The taught courses and dissertation topics available to you are closely aligned with some of the activities of the Department’s research areas. These include:

  • Data science and dynamics
  • Mathematics of life and social sciences
  • Nonlinear waves and geometric fluid dynamics.

During the first two semesters, you'll select a range of taught modules. These will be followed by an extended research project conducted over the summer under the supervision of a member of the Department. In some cases, this will be in conjunction with a second external supervisor, culminating in the writing of an MSc dissertation.

Careers and graduate prospects

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.


This module will introduce the subject of data science. It will start with the role of data in society as motivation, with the view towards enhancing global and cultural capabilities in understanding how usage of data shapes our society, and then move to the core of the module which is mathematical methodology for data analysis, providing students with the underpinning mathematics that drive data algorithms, so as to strengthen the resourcefulness and resilience of the students. The topics will be wide ranging with a focus on the Surrey brand of data, as research into data is part of the department research agenda, and then the module goes full circle and shows how all this theory drives data algorithms at all levels of society.

Tuition fees

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Course fees for UK students

For this course (per year)


International fees
Course fees for EU and international students

For this course (per year)


Entry requirements

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).

University information

The University of Surrey was established in 1891, and has a long and rich history of education and innovation. It welcomes more than 4,000 postgraduate students annually, forming an international research and learning community representing over 120 countries from around the world. The university is known for celebrating cultural diversity and fosters an inclusive student body. The University of Surrey is a research-driven institution, and...more

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