General entry requirements
A*A*A to include A* A* in Mathematics and Further Mathematics
A*AA to include A* A (in any order) in Mathematics and Further Mathematics and one of the following:
- STEP (grade 2)
- TMUA (score 6.5)
A*A*A*A to include A* A (in any order) in Mathematics and Further Mathematics
Where an applicant is unable to study A Level Further Mathematics, they may be considered with grades A*A*A* including Mathematics. Please see the Department of Statistics webpage for further information.
39 overall to include 7 in Higher Level Mathematics 'Analysis and Approaches'
38 overall to include 6 in Higher Level Mathematics 'Analysis and Approaches' and one of the following:
- STEP (grade 2)
- TMUA (score 6.5)
38 overall to include 7 in Higher Level Mathematics 'Applications and Interpretations' and one of the following:
- STEP (grade 2)
- TMUA (score 6.5)
Alternative offers and additional requirements:
We will consider Level 3 BTECs alongside two A Levels including A Level Maths
Frequently asked questions
Warwick may make differential offers to students in a number of circumstances. These include students participating in the Realising Opportunities programme, or who meet two of the contextual data criteria.
Differential offers will usually be one or two grades below Warwick’s standard offer.
All students who successfully complete the Warwick IFP and apply to Warwick through UCAS will receive a guaranteed conditional offer for a related undergraduate programme (selected courses only).
We welcome applications for deferred entry.
We do not typically interview applicants. Offers are made based on your UCAS form which includes predicted and actual grades, your personal statement and school reference.
MORSE balances mathematical theory and its practical applications with teaching from subject specialists from the departments of Mathematics, Statistics, Economics and Warwick Business School. You will learn through a combination of lectures, small-group tutorials and practical sessions based in the Statistics Departments well-equipped undergraduate computing laboratory.
You can also take modules from outside the Statistics Department, for example from Computer Science or the Language Centre. We also work with the Institute and Faculty of Actuaries to design modules that can lead to exemptions for some Actuarial Exams.
The first two years of the BSc and MMORSE courses are similar, making it easy to reconsider your preference in the second year. Differences become apparent in the final years. From the third year onwards, our four-year MMORSE gives you the opportunity to specialise in one of the following four areas: Actuarial and Financial Mathematics; Operational Research and Statistics; Econometrics and Mathematical Economics; Statistics with Mathematics, and to complete a supervised research project.
The first two years of the MORSE degrees follow a (mainly) fixed set of courses, laying the foundations of the four main subjects. For part of the first two years, and the whole of the third, students are free to choose from a wide range of topics. Final year students can elect to specialise in one or two of the main subject areas or can continue a balanced programme by selecting topics from all four departments.
Year One: The compulsory modules in year one concentrate on the underlying mathematical ideas. You also study basic material from economics and OR.
Year Two: In year two the statistics, economics and OR are developed further, and there is a wide range of optional modules.
At the end of year two, you finalise your choice between the three-year MORSE degree and the four-year MMORSE (the latter requiring you averaged of at least 60%.
Final years: The third year includes compulsory modules on advanced probability, statistical modelling, and financial mathematics. The fourth (final) year of MMORSE offers many modules in probability, statistics, economics, operational research and financial mathematics, and you also choose a masters-level dissertation topic from one of these areas.
Introduction to Quantitative Economics
The focus of this module is mainly on economic theory but "real world" applications of relevant theories will also be examined, subject to time limitations. The module covers aspects of microeconomics and macroeconomics. Microeconomics is concerned with the economic behaviour of individual consumers and producing firms, and their interaction in markets for goods, services and factors of production. Macroeconomics, on the other hand, is concerned with aggregate economic variables or the workings of the national economy as a whole such as Gross Domestic Product, unemployment, inflation and interest rates, and with government economic policies to influence these variables.
Mathematical Programming I
Operational Research is concerned with advanced analytical methods to support decision making, for example for resource allocation, routing or scheduling. A common problem in decision making is finding an optimal solution subject to certain constraints. Mathematical Programming I introduces you to theoretical and practical aspects of linear programming, a mathematical approach to such optimisation problems.
Vectors and Matrices
Many problems in maths and science are solved by reduction to a system of simultaneous linear equations in a number of variables. Even for problems which cannot be solved in this way, it is often possible to obtain an approximate solution by solving a system of simultaneous linear equations, giving the "best possible linear approximation''.
The branch of maths treating simultaneous linear equations is called linear algebra. The module contains a theoretical algebraic core, whose main idea is that of a vector space and of a linear map from one vector space to another. It discusses the concepts of a basis in a vector space, the dimension of a vector space, the image and kernel of a linear map, the rank and nullity of a linear map, and the representation of a linear map by means of a matrix.
These theoretical ideas have many applications, which will be discussed in the module. These applications include:
Solutions of simultaneous linear equations. Properties of vectors. Properties of matrices, such as rank, row reduction, eigenvalues and eigenvectors. Properties of determinants and ways of calculating them.
Mathematical Analysis is the heart of modern Mathematics. Calculus usually stands for Analysis, focused on calculations rather than proving theorems. The subject of Analysis is developed with a focus on calculations.
Sets and Numbers
It is in its proofs that the strength and richness of mathematics is to be found. University mathematics introduces progressively more abstract ideas and structures, and demands more in the way of proof, until most of your time is occupied with understanding proofs and creating your own. Learning to deal with abstraction and with proofs takes time. This module will bridge the gap between school and university mathematics, taking you from concrete techniques where the emphasis is on calculation, and gradually moving towards abstraction and proof.
Introduction to Statistical Modelling
This module is an introduction to statistical thinking and inference. You’ll learn how the concepts you met from Probability can be used to construct a statistical model – a coherent explanation for data. You’ll be able to propose appropriate models for some simple datasets, and along the way you’ll discover how a function called the likelihood plays a key role in the foundations of statistical inference. You will also be introduced to the fundamental ideas of regression. Using the R software package you’ll become familiar with the statistical analysis pipeline: exploratory data analysis, formulating a model, assessing its fit, and visualising and communicating results. The module also prepares you for a more in-depth look at Mathematical Statistics in Year Two.
Probability is a foundational module that will introduce you both to the important concepts in probability but also the key notions of mathematical formalism and problem-solving. Want to think like a mathematician? This module is for you. You will learn how to to express mathematical concepts clearly and precisely and how to construct rigorous mathematical arguments through examples from probability, enhancing your mathematical and logical reasoning skills. You will also develop your ability to calculate using probabilities and expectations by experimenting with random outcomes through the notion of events and their probability. You’ll learn counting methods (inclusion–exclusion formula and binomial co-efficients), and study theoretical topics including conditional probability and Bayes’ Theorem.
This module continues from Probability 1, which prepares you to investigate probability theory in further detail here. Now you will look at examples of both discrete and continuous probability spaces. You’ll scrutinise important families of distributions and the distribution of random variables, and the light this shines on the properties of expectation. You’ll examine mean, variance and co-variance of distribution, through Chebyshev's and Cauchy-Schwarz inequalities, as well as the concept of conditional expectation. The module provides important grounding for later study in advanced probability, statistical modelling, and other areas of potential specialisation such as mathematical finance.
The concept of a stochastic (developing randomly over time) process is a useful and surprisingly beautiful mathematical tool in economics, biology, psychology and operations research. In studying the ideas governing stochastic processes, you’ll learn in detail about random walks – the building blocks for constructing other processes as well as being important in their own right, and a special kind of ‘memoryless’ stochastic process known as a Markov chain, which has an enormous range of application and a large and beautiful underlying theory. Your understanding will extend to notions of behaviour, including transience, recurrence and equilibrium, and you will apply these ideas to problems in probability theory.
Mathematical Methods for Statistics and Probability
Following the mathematical modules in Year One, you’ll gain expertise in the application of mathematical techniques to probability and statistics. For example, you’ll be able to adapt the techniques of calculus to compute expectations and conditional distributions relating to a random vector, and you’ll encounter the matrix theory needed to understand covariance structure. You’ll also gain a grounding in the linear algebra underlying regression (such as inner product spaces and orthogonalization). By the end of your course, expect to apply multivariate calculus (integration, calculation of under-surface volumes, variable formulae and Fubini’s Theorem), to use partial derivatives, to derive critical points and extrema, and to understand constrained optimisation. You’ll also work on eigenvalues and eigenvectors, diagonalisation, orthogonal bases and orthonormalisation.
Probability for Mathematical Statistics
If you have already completed Probability in Year One, on this module you’ll have the opportunity to acquire the knowledge you need to study more advanced topics in probability and to understand the bridge between probability and statistics. You’ll study discrete, continuous and multivariate distributions in greater depth, and also learn about Jacobian transformation formula, conditional and multivariate Gaussian distributions, and the related distributions Chi-squared, Student’s and Fisher. You will also cover more advanced topics including moment-generating functions for random variables, notions of convergence, and the Law of Large Numbers and the Central Limit Theorem.
If you’ve completed “Probability for Mathematical Statistics”, this second-term module is your next step, where you’ll study in detail the major ideas behind statistical inference, with an emphasis on statistical modelling and likelihoods. You’ll learn how to estimate the parameters of a statistical model through the theory of estimators, and how to choose between competing explanations of your data through model selection. This leads you on to important concepts including hypothesis testing, p-values, and confidence intervals, ideas widely used across numerous scientific disciplines. You’ll also discover the ideas underlying Bayesian statistics, a flexible and intuitive approach to inference which is especially amenable to modern computational techniques. Overall this module will provide you a very firm foundation for your future engagement in advanced statistics – in your final years and beyond.
At least one of Mathematical Economics 1A, Economics 2: Microeconomics, or Economics 2: Macroeconomics
You will choose at least one of three key modules in economics. The choice will provide you with a sense of the importance of strategic considerations in economic problem solving. You will see that simple, intuitive principles, formulated precisely, can go a long way in understanding the fundamental aspects of many economic problems. You will also have the flexibility to tailor the specific area of economics to your own interests: Mathematical Economics 1A focuses on game theory, Economics 2: Microeconomics focuses on microeconomics from the points of view of consumers, producers, and competing firms, and Economics 2: Macroeconomics covers a collection of macroeconomic topics such as labour markets, exchange rates, fiscal and monetary policy, and the relationship between unemployment and inflation.
Mathematical Economics 1A
This module aims to provide a basic understanding of pure game theory and also introduce You will acquire a sense of the importance of strategic considerations in economic problem solving and will learn that a few simple, intuitive principles, formulated precisely, can go a long way in understanding the fundamental aspects of many economic problems.
Mathematical Programming II
This module builds on the first year module Mathematical Programming 1. You will learn how to identify the business problems that can be modelled using optimisation techniques and formulate them in a suitable mathematical form. You will then apply optimisation techniques to the solution of the problems using spreadsheets and other appropriate software and learn how to report on the meaning of the optimal solution in a manner suited to a business context.
The third year of MMORSE includes compulsory modules which may be on advanced probability, statistical modelling or financial mathematics, depending on the stream chosen.
The fourth (final) year of MMORSE offers many modules in probability, statistics, economics, operational research and financial mathematics, and you also choose a Master's level dissertation topic from one of these areas.
Optional modules can vary from year to year. Example optional modules may include:
- Groups and Rings
- Introduction to Mathematical Biology
- Games and Decisions
- Visualisation and Communication of Data
- Introduction to Mathematical Finance
- Programming for Data Science
- Bayesian Forecasting and Intervention
- Mathematics of Machine Learning
- Statistical learning and Big Data (MMORSE)
- Advanced Trading Strategies (MMORSE)
You will be assessed by a combination of closed and open-book examinations, continuous assessment and project work, depending on your options. Your final year will include a significant project including a presentation, academic poster and dissertation.
The first year counts 10%, the second year 20%, the third year 30% and the fourth year 40% towards the final integrated masters degree mark.
You will learn from a combination of lectures, small-group tutorials and practical sessions based in the Statistics Departments well-equipped undergraduate computing laboratory. Many core modules are designed specifically with MORSE students in mind. These cover the technical intricacies of theoretical subjects while emphasising their modern applications.
Core modules are taught by staff from all four partner departments and involve deriving theorems, optimisation, quantitative reasoning and modelling complex systems. MMORSE students work on their own research project under the guidance of a lecturer or professor.
Overseas and European students forming about one-third of the intake allowing our students to form lifelong, global friendship networks whilst at Warwick.
Class sizes vary from 15 students for selected optional modules up to 350 students for some core modules. Support classes usually consist of 15 students.
Tuition fees cover the majority of the costs of your study, including teaching and assessment. Fees are charged at the start of each academic year. If you pay your fees directly to the University, you can choose to pay in instalments.
If you are a home student enrolling in 2021, your annual tuition fees will be £9,250. In the future, these fees might change for new and continuing students.
2+2 course fees
If you are a home student enrolling in 2021 for a 2+2 course through the Centre for Lifelong Learning, your annual tuition fees will be £6,750. In the future, these fees might change for new and continuing students.
How are fees set?
The British Government sets tuition fee rates.
If you are an EU student enrolling in 2021, the tuition fee will be charged in line with government policy and therefore the same as Overseas Tuition Fee rates.
For details please see Overseas students section below.
If you are an overseas or EU student enrolling in 2021, your annual tuition fees will be as follows:
- Band 1 – £21,220 per year (classroom-based courses, including Humanities and most Social Science courses)
- Band 2 – £27,060 per year (laboratory-based courses, plus Theatre and Performance Studies, Economics, and courses provided by Warwick Business School, with exceptions)
Fees for 2022 entry have not been set. We will publish updated information here as soon as it becomes available, so please check back for updates about 2022 fee rates before you apply.
Fee status guidance
We carry out an initial fee status assessment based on the information you provide in your application. Students from 2021 entry will be classified as Home or EU/Overseas fee status. Your fee status determines tuition fees, and what financial support and scholarships may be available. If you receive an offer, your fee status will be clearly stated alongside the tuition fee information.
Do you need your fee classification to be reviewed?
If you believe that your fee status has been classified incorrectly, you can complete a fee status assessment questionnaire. Please follow the instructions in your offer information and provide the documents needed to reassess your status.
Additional course costs
There may be extra costs related to your course for things such as stationery, books, materials and field trips.
Scholarships and bursaries
Learn about scholarships and bursaries available to undergraduate students.
We offer a number of undergraduate scholarships and bursaries to full-time undergraduate students. These include sporting and musical bursaries, and scholarships offered by commercial organisations.
If you are an international student, a limited number of scholarships may be available.
You may be eligible for financial help from your own government, from the British Council or from other funding agencies. You can usually request information on scholarships from the Ministry of Education in your home country, or from the local British Council office.
Warwick Undergraduate Global Excellence Scholarship 2021
We believe there should be no barrier to talent. That's why we are committed to offering a scholarship that makes it easier for gifted, ambitious international learners to pursue their academic interests at one of the UK's most prestigious universities. This new scheme will offer international fee-paying students 250 tuition fee discounts ranging from full fees to awards of £13,000 to £2,000 for the full duration of your Undergraduate degree course.
We provide extra financial support for qualifying students from lower income families. The Warwick Undergraduate Bursary is an annual award of up to £3,000 per annum. It is intended to help with course-related costs and you do not have to pay it back.
As part of the 'City of Sanctuary' movement, we are committed to building a culture of hospitality and welcome, especially for those seeking sanctuary from war and persecution. We provide a range of scholarships to enable people seeking sanctuary or asylum to progress to access university education.
Eligibility for student loans
Your eligibility for student finance will depend on certain criteria, such as your nationality and residency status, your course, and previous study at higher education level.
Tuition Fee Loan
You can apply for a Tuition Fee Loan to cover your tuition fees. It is non-means tested, which means the amount you can receive is not based on your household income. The Loan is paid directly to the University so, if you choose to take the full Tuition Fee Loan, you won’t have to set up any payments.
Maintenance Loan for living costs
You can apply for a Maintenance Loan towards your living costs such as accommodation, food and bills. This loan is means-tested, so the amount you receive is partially based on your household income and whether you choose to live at home or in student accommodation.
Tuition Fee Loan
For the 2020 academic year, you can apply for a Tuition Fee Loan to cover your tuition fees if you’re from an EU country. It is non-means tested, which means the amount you can receive is not based on your household income. The Loan is paid directly to the University so, if you choose to take the full Tuition Fee Loan, you won’t have to set up any payments.
Help with living costs
For the 2020 academic year, you may be eligible for help with your living costs if you’ve lived in the UK for more than 5 years before the first day of the first academic year of your course.
If you are starting a course on or after 1 August 2021, you must have settled or pre-settled status under the EU Settlement Scheme to get student finance.
Repaying your loans
You will repay your loan or loans gradually once you are working and earning above a certain amount (from April 2021 the repayment threshold is £27,295 and is expected to rise each year). Repayments will be taken directly from your salary if you are an employee. If your income falls below the earnings threshold, your repayments will stop until your income goes back up above this figure.
Placements and work experience
You may additionally choose to spend an intercalated year in an approved industry, business or university between your last two years at Warwick.
Recent graduates have pursued job roles such as:
- Actuaries, economists and statisticians
- Software developers
- Chartered and certified accountants
- Finance and investment analysts
- Telecommunication designers
- Data scientists and engineers
UK firms that have employed recent Warwick graduates from the Mathematics and Statistics Departments include:
- Adder Technology
- Astra Zeneca
- BlackRock International
- Merrill Lynch
- Civil Service
- Department of Health
- Ford Motor Company
- Fore Consulting
- Goldman Sachs
- Government Actuaries
- Jane Street Capital
- Met Office
- Ministry of Justice
- RenaissanceRe (Syndicate 1458)
- Oxford Clinical Trials Unit
- Solid Solutions
- Sword Apak
- Towers Watson
Supporting your career
Our department has a dedicated professionally qualified Senior Careers Consultant to support you. They offer impartial advice and guidance, together with workshops and events throughout the year. Previous examples of workshops and events include:
- Finding experience to boost your CV in Year One and Two
- Careers in Data Science and Artificial Intelligence
- Warwick careers fairs throughout the year
- Interview skills for Statistics students
- Maths and Stats Careers Fair
Statistics at Warwick
- Data Science (BSc)
- Data Science (MSci)
- Mathematics and Statistics (BSc)
- Mathematics and Statistics (MMathStat)
- MORSE (Mathematics, Operational Research, Statistics and Economics) (BSc)
- MMORSE (Mathematics, Operational Research, Statistics and Economics)
Life at Warwick
Within a close-knit community of staff and students from all over the world, discover a campus alive with possibilities. A place where all the elements of your student experience come together in one place. Our supportive, energising, welcoming space creates the ideal environment for forging new connections, having fun and finding inspiration.
- Arts, Culture and Events
- Campus map
- Clubs and societies
- Food and drink
- Sports and Fitness
- Wellbeing support
Find out how to apply to us, ask your questions, and find out more.
Finding the right accommodation is key to helping you settle in quickly.
We have 12 self-catering undergraduate halls of residence on campus.
Our student property management and lettings agency manages more than 8,000 rooms both on and off campus, and provides advice to all full-time undergraduates.
You won't be short of ways to spend your time on campus - whether it's visiting Warwick Arts Centre, using our incredible new sports facilities, socialising in our bars, nightclub and cafés, or enjoying an open-air event. Or if you need some peace and quiet, you can explore lakes, woodland and green spaces just a few minutes’ walk from central campus.
Food and drink
We have lots of cafés, restaurants and shops on campus. You can enjoy great quality food and drink, with plenty of choice for all tastes and budgets. There is a convenience store on central campus, as well as two supermarkets and a small shopping centre in the nearby Cannon Park Retail Park. Several of them offer delivery services to help you stay stocked up.
And don't miss our regular food market day on the Piazza with tempting, fresh and delicious street food. Soak up the atmosphere and try something new, with mouth-watering food for all tastes.
Clubs and societies
We currently have more than 300 student-run societies.
So whether you’re into films, martial arts, astronomy, gaming or musical theatre, you can instantly connect with people with similar interests.
Or you could try something new, or even form your own society.
Sports and fitness
Staying active at Warwick is no sweat, thanks to our amazing new Sports and Wellness Hub, indoor and outdoor tennis centre, 60 acres of sports pitches, and more than 60 sports clubs.
Whether you want to compete, relax or just have fun, you can achieve your fitness goals.
Studying on campus
Our campus is designed to cater for all of your learning needs.
You will benefit from a variety of flexible, well-equipped study spaces and teaching facilities across the University.
- The Oculus, our outstanding learning hub, houses state-of-the-art lecture theatres and innovative social learning and network areas.
- The University Library provides access to over one million printed works and tens of thousands of electronic journals
- Three Learning Grids offering you flexible individual and group study spaces.
Travel and local area
Our campus is in Coventry, a modern city with high street shops, restaurants, nightclubs and bars sitting alongside medieval monuments. The Warwickshire towns of Leamington Spa and Kenilworth are also nearby.
The University is close to major road, rail and air links. London is just an hour by direct train from Coventry, with Birmingham a 20-minute trip. Birmingham International Airport is nearby (a 20-minute drive).
Wellbeing support and faith provision
Our continuous support network is here to help you adjust to student life and to ensure you can easily access advice on many different issues. These may include managing your finances and workload, and settling into shared accommodation. We also have specialist disability and mental health support teams.
Our Chaplaincy is home to Chaplains from the Christian, Jewish and Muslim faiths. We provide regular services for all Christian denominations and a Shabbat meal every Friday for our Jewish students. There is also an Islamic prayer hall, halal kitchen and ablution facilities.
Learn more about our application process.
Key dates for your application to Warwick.
Make an impression and demonstrate your passion for your course.
Find out how we process your application.
Read Warwick's Admission Statement
3 ways to connect
Talk to us
Join us at a live event. You can ask about courses, applying to Warwick, life at Warwick, visas and immigration, and more.
Take a virtual, student-led campus tour. Then join an interactive panel session, where you can hear from and chat to our current students and staff.
Explore our student blogs in OurWarwick. You can read about campus life from students themselves, and register to post questions directly to students.
Explore campus with our virtual tour
Our 360 tour lets you:
- Watch student videos
- View 360 photography and drone footage
- Learn about facilities and landmarks
Come to an Open Day
Don’t just take it from us, come and see for yourself what Warwick is all about. Whether it's a virtual visit or in-person, our University Open Days give you the chance to meet staff and students, visit academic departments, tour the campus and get a real feel for life at Warwick.
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