General entry requirements

Minimum requirements

First Class Honours degree or very strong 2:i (or equivalent) in Mathematics, Physics, Statistics, Computer Science or other degree with high mathematical content.

English language requirements

You can find out more about our English language requirementsLink opens in a new window. This course requires the following:

• Band A
• IELTS overall score of 6.5, minimum component scores not below 6.0.

International qualifications

We welcome applications from students with other internationally recognised qualifications.

For more information, please visit the international entry requirements pageLink opens in a new window.

Additional requirements

There are no additional entry requirements for this course.

Core modules

Numerical Algorithms and Optimisation

Numerical Algorithms and Optimisation teaches you the theory and implementation of a set of computational algorithms that provide the fundamental toolkit for advanced data analysis, simulation and optimisation. The syllabus will be drawn from the following list of topics:

• Algorithmic structures (iteration, recursion, memoization) and computational complexity
• Data structures (linked lists, stacks and queues, binary indexed trees)
• Sorting and search algorithms
• Fast Fourier Transform
• Topics in numerical linear algebra: solving linear systems, conjugate gradient algorithm, singular value decomposition
• Unconstrained continuous optimisation: multivariate minimisation, Nelder-Mead algorithm, automatic differentiation, gradient descent
• Constrained continuous optimisation: method of Lagrange multipliers, linear programming

Data Analysis and Machine Learning

This is a core module for the MSc in Mathematics of Systems. The main aims are to provide a broad knowledge of modern techniques of exploratory data analysis, time series modelling and forecasting, and a short introduction to machine learning.

Stochastic Modelling and Random Processes

The main aims are to provide a broad background in theory and applications of complex networks and random processes, and related practical and computational skills to use these techniques in applied mathematical research and modelling. You will become familiar with basic network theoretic definitions, commonly used network statistics, probabilistic foundations of random processes, some commonly studied Markov processes/chains, and the links between these topics through random graph theory.

Topics in Mathematical Modelling

This is a core module for the Mathematics for Real-World Systems II CDT. The aim is to introduce you to cutting-edge topics in mathematical modelling that cover the application areas of the CDT: biomedical science, epidemiology, socio-technical systems, and industrial processes and optimisation. The topics covered will be used as examples to illustrate fundamental modelling approaches, in particular multiscale modelling and hybrid modelling, which bridges the divide between a-priori and data-driven methods.

Research Study Group MSc Project

This is a core module for the MathSys CDT, in which you will work in groups on research projects provided by external partners of the Centre. This module relies on knowledge gained in core MathSys MSc taught modules preparing you for research collaborations and teamwork skills. You will learn how to apply the skills and methods you have acquired in the MSc taught programme on a research project related to real-world problems. You will undertake research in groups under the guidance of a CDT core staff member and an external partner.

Individual Research MSc Project

This is a core module for summer MSc research for the MathSys CDT, involving projects from academic supervisors and external partners of the Centre. The module enables you to apply the techniques and skills acquired in the taught component of the MSc to real-world research projects, guiding you for the choice of your PhD research.

Optional modules

As an MSc student you will also choose two optional modules from the Warwick postgraduate provision. Previously these have included:

• Mathematics and biophysics of cell dynamics
• Medical statistics with advanced topics
• Population dynamics: ecology and epidemiology
• Computational methods for complex systems
• Probabilistic and statistical inference
• Statistical mechanics and its applications to complex systems
• Machine learning
• Natural language processing
• Mathematical economics
• Complexity in social science
• Bayesian forecasting and intervention
• Applied and numerical analysis of PDEs
• Scientific computing
• Multiscale modelling methods and applications
• Continuum mechanics

Teaching

A 1+3 year MSc and PhD.

The full-time MSc year is dedicated to developing a broad portfolio of mathematical techniques and investigating two research problems, with a strong emphasis on applied questions and practical approaches.

Class sizes

The MathSys cohort is typically 15-20 for the MSc year.

Typical contact hours

Contact hours will vary between 20+ per week for the taught component and 2+ per week for the Research Project components.

Assessment

Terms One and Two comprise taught modules assessed through exams and vivas, and optional modules are usually taken in Term Two. The student cohort then addresses research problems motivated by external partners in small groups. After the Research Study Group project, each student pursues their own Individual Research Project supervised by a Warwick academic. Both research projects are evaluated by written and presented work.

Upon successfully completing the MSc year (or equivalent training), students may progress to a three-year PhD supervised by a Warwick academic and a representative of an external partner organisation. The CDT has a portfolio of available projects; however, the PhD project can also be determined by the student, with the proviso that it involves the application of mathematics to a real-world problem and that a suitable supervisor can be found.

Reading lists

Most departments have reading lists available through Warwick Library. If you would like to view reading lists for the current cohort of students you can visit our Warwick Library web page.

Your timetable

Your personalised timetable will be complete when you are registered for all modules, compulsory and optional, and you have been allocated to your lectures, seminars and other small group classes. Your compulsory modules will be registered for you and you will be able to choose your optional modules when you join us.

Your career

Graduates have pursued roles such as: actuaries; finance and investment analysts and advisers and university researchers.

Our department has a dedicated professionally qualified Senior Careers Consultant offering impartial advice and guidance together with workshops and events throughout the year. Previous examples of workshops and events include:

• Maths Careers Fair
• Careers in Data Science and Artificial Intelligence
• Warwick careers fairs throughout the year
• Mathematics at work – The practical application of Maths in the workplace
• Placement and graduate opportunities at the Government Actuary’s Department

Mathematics at Warwick

Our challenging Mathematics degrees will harness your strong mathematical ability and commitment, enabling you to explore your passion for mathematics.

Find out more about us on our website

Our courses

• Interdisciplinary Mathematics (Diploma plus MSc)
• Interdisciplinary Mathematics (MSc)
• Mathematical Sciences (MASt)
• Mathematics (Diploma plus MSc)
• Mathematics (MSc)
• Mathematics of Systems (MSc leading to PhD)
• Mathematics (PhD)
• Mathematics of Systems (PhD)

Tuition fees

Tuition fees are payable for each year of your course at the start of the academic year, or at the start of your course, if later. Academic fees cover the cost of tuition, examinations and registration and some student amenities.

Taught course fees  Research course fees

Fee Status Guidance

The University carries out an initial fee status assessment based on information provided in the application and according to the guidance published by UKCISA. Students are classified as either Home or Overseas Fee status and this can determine the tuition fee and eligibility of certain scholarships and financial support.

If you receive an offer, your fee status will be stated with the tuition fee information, however we are awaiting guidance from the UK government regarding fee status for EU, other EEA and Swiss nationals and their family members living in the UK for academic year 2021/22 onwards. We are not able to confirm the fee status for these students until the relevant eligibility criteria have been confirmed. Once we have received further information from the UK government, we will provide you with an update on your fee status and let you know if any additional information is required. If you believe your fee status has been incorrectly classified you can complete a fee status assessment questionnaire (follow the instructions in your offer) and provide the required documentation for this to be reassessed.

The UK Council for International Student Affairs (UKCISA) provides guidance to UK universities on fees status criteria, you can find the latest guidance on the impact of Brexit on fees and student support on the UKCISA website.

Additional course costs

Please contact your academic department for information about department specific costs, which should be considered in conjunction with the more general costs below, such as:

• Core text books
• Printer credits
• Dissertation binding
• Robe hire for your degree ceremony

Scholarships and bursaries