Program Overview

Data Science questions how to make sense of the vast volumes of data generated daily in modern life, from social networks to scientific research and finance. It then suggests sophisticated computing techniques for processing this deluge of information.


The degree in Data Science provides an essential mix of highly developed mathematical, statistical and computing skills for those interested in working at the forefront of the modern data revolution, that is, in a career which leverages advanced technology to extract value from data - or in developing such technology.


Taught by specialists from the departments of Statistics, Computer Science and Mathematics, you will develop expertise in specialist areas of machine learning, data mining and algorithmic complexity. Skills development in mathematical and statistical modelling, algorithm design and software engineering prepares you for other careers including manufacturing, pharmaceuticals, finance, telecoms and scientific research.

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  Location

CoventryUnited Kingdom

DurationIcon
  Course Duration

36 Months

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  Tuition Fee

£ 28,410

 Score

IELTS: 7

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You will learn through a combination of lectures, small-group tutorials and practical sessions based in the Department's well-equipped undergraduate computing laboratory. A central part of learning in Mathematics and Statistics is problem solving.


The curriculum is built on the principle that module choices get more and more flexible as you progress through the degree. On top of that, you may choose to study additional options from an even wider range of modules. Year Two: about 20% optional modules. Year Three: about 75% optional modules

Year One
Programming for Computer Scientists

On this module, whatever your starting point, you will begin your professional understanding of computer programming through problem-solving, and fundamental structured and object-oriented programming. You will learn the Java programming language, through practical work centred on the Warwick Robot Maze environment, which will take you from specification to implementation and testing. Through practical work in object-oriented concepts such as classes, encapsulation, arrays and inheritance, you will end the course knowing how to write programs in Java, and, through your ability to analyse errors and testing procedures, be able to produce well-designed and well-encapsulated and abstracted code.

 

Design of Information Structures
Following on from Programming for Computer Scientists, on the fundamentals of programming, this module will teach you all about data structures and how to program them. We will look at how we can represent data structures efficiently and how we can apply formal reasoning to them. You will also study algorithms that use data structures. Successful completion will see you able to understand the structures and concepts underpinning object-oriented programming, and able to write programs that operate on large data sets.

 

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.

 

Calculus 1/2
Calculus is the mathematical study of continuous change. In this module there will be considerable emphasis throughout on the need to argue with much greater precision and care than you had to at school. With the support of your fellow students, lecturers and other helpers, you will be encouraged to move on from the situation where the teacher shows you how to solve each kind of problem, to the point where you can develop your own methods for solving problems. By the end of the year you will be able to answer interesting questions like, what do we mean by `infinity’?


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 1
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.

 

Probability 2
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.

 

Year Two
Database Systems

How does the theory of relational algebra serve as a framework for the efficient organisation and retrieval of large amounts of data? During this module, you will learn to understand standard notations (such as SQL) which implements relational algebra, and gain practical experience of database notations that are widely used in the industry. Successful completion will see you equipped to create appropriate, efficient database designs for a range of simple applications and to translate informal queries into formal notation. You will have learned to identify and express relative integrity constraints for particular database designs, and have gained the ability to identify control measures for some common security threats.

.

Algorithms
Data structures and algorithms are fundamental to programming and to understanding computation. On this module, you will be using sophisticated tools to apply algorithmic techniques to computational problems. By the close of the course, you’ll have studied a variety of data structures and will be using them for the design and implementation of algorithms, including testing and proofing, and analysing their efficiency. This is a practical course, so expect to be working on real-life problems using elementary graph, greedy, and divide-and-conquer algorithms, as well as gaining knowledge on dynamic programming and network flows.

 

Stochastic Processes
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.

Mathematical Statistics
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.

Linear Statistical Modelling with R
This module runs in parallel with Mathematical Statistics and gives you hands-on experience in using some of the ideas you saw there. The centrepiece of this module is the notion of a linear model, which allows you to formulate a regression model to explain the relationship between predictor variables and response variables. You will discover key ideas of regression (such as residuals, diagnostics, sampling distributions, least squares estimators, analysis of variance, t-tests and F-tests) and you will analyse estimators for a variety of regression problems. This module has a strong practical component and you will use the software package R to analyse datasets, including exploratory data analysis, fitting and assessing linear models, and communicating your results. The module will prepare you for numerous final years modules, notably the Year Three module covering the (even more flexible) generalised linear models.

Year Three
The third (final) year of the BSc allows you to forge a strong curriculum through a selection of more advanced modules in statistics and computer science, such as machine learning and Bayesian forecasting. It also includes a Data Science Project, which is your opportunity to showcase and expand your data-analytics.

Optional modules
Optional modules can vary from year to year. Example optional modules may include:

  • Artificial Intelligence
  • Games and Decisions
  • Neural Computing
  • Machine Learning
  • Approximation and Randomised Algorithms
  • Mobile Robotics
  • Computer Graphics
  • Professional Practice of Data Analysis
     

All applicants, regardless of their visa requirements, are required to show that their ability to understand and express themselves in both written and spoken English is sufficiently high for them to derive full benefit from their degree course. The level of competence required depends on what type of degree you wish to study. Many applicants can demonstrate this through a satisfactory level of achievement in, for example, GCSE English Language or the English courses within the International Baccalaureate.

Applicants whose academic qualifications meet the University’s admissions requirements, but whose English language qualifications are not accepted as equivalent, may be offered a place at Warwick conditional on an acceptable English language qualification being achieved before they join the University. A number of English language tests are accepted; some of the most frequently offered ones are detailed below.

Please note that certain English tests (including IELTS and PTE) must be taken within two years and one month prior to the start of your course at Warwick. Applicants whose tests fall outside this timescale will need to retake a suitable English language test.

Applicants who require a visa to study in the UK may, depending on the circumstances, be asked to provide evidence of a secure English language test (e.g. IELTS for UKVI (Academic)), rather than an examination (such as International Baccalaureate English) due to the visa requirements set by the UK government.

ENGLISH LANGUAGE REQUIREMENTS FOR UNDERGRADUATE STUDENTS (2022 Entry)

If you do not meet the English Language Requirements for your course in full, you may still be eligible for the course on condition of:

  • Meeting the English Language Requirements for our Pre-sessional English course, and
  • Successfully completing the Pre-sessional English course

 

Qualification

Exam Board / Provider

Band A

Band B

Band C

IELTS Academic

Including IELTS Online

Note: In order to verify IELTS results, applicants must provide their Test Report Form number to the Undergraduate Admissions team.

British Council/ Cambridge Assessment English 6.0 including minimum 5.5 in each component 6.5 including minimum 6.0 in each component 7.0 including minimum 6.5 in each component

Cambridge English Proficiency

C2 Proficiency

Cambridge Assessment English

C with no less than Borderline in any element

or

170 overall with no less than 165 in any component

C with no less than Borderline in any element

or

180 overall with no less than 170 in any component

C with no less than Borderline in any element

or

190 overall with no less than 180 in any component

Cambridge English Advanced

C1 Advanced

Cambridge Assessment English A with no less than Borderline in any element

or

170 overall with no less than 165 in any component

A with no less than Borderline in any element

or

180 overall with no less than 170 in any component

A with no less than Borderline in any element

or

190 overall with no less than 180 in any component

GCSE English Language

Any 4 / C 4 / C 6 / B

IGCSE English as a First Language

Any C C B

O Level English 1119/1125/1123

UCLES/CIE C C B

Indian Class XII

CBSE or CISCE only 75% (first attempt) 80% (first attempt) 85% (first attempt)

HKCEE/HKDSE English Language

HKEAA 4 4 5

International Baccalaureate Higher Level English Language or Literature

Note: Standard Level requirements differ according to the IB exam taken

IB

HL 4 HL 4 HL 5

Duolingo English Test

Note: In order to verify the Duolingo results online, applicants must nominate the University of Warwick as an institution who can receive their results.

Duolingo

Overall score of 115 with no less than 90 in any component Overall score of 125 with no less than 90 in any component Overall score of 135 with no less than 90 in any component

LanguageCert

LanguageCert International ESOL SELT C1Link opens in a new window

or

LanguageCert International ESOL C1 ExpertLink opens in a new window

Note: Speaking component and Listening, Reading, Writing component must be taken within a 14-day period

LanguageCert C1 (Listening, Reading, Writing, Speaking) with 33/50 in each component C1 (Listening, Reading, Writing, Speaking) with 33/50 in each component C1 (Listening, Reading, Writing, Speaking) with 33/50 in each component

TOEFL

Note: MyBest scores will not be accepted. All components on a single test date must meet the required level.

TOEFL/ETS

213 (Computer)


87 (iBT or iBT Special Home Edition) with minimum of 21 in Listening, 21 in Writing, 22 in Reading and 23 in Speaking

250 (Computer)


92 (iBT or iBT Special Home Edition) with minimum of 21 in Listening, 21 in Writing, 22 in Reading and 23 in Speaking

260 (Computer)


100 (iBT or iBT Special Home Edition) with minimum of 21 in Listening, 21 in Writing, 22 in Reading and 23 in Speaking

Pearson Test of English (PTE) Academic

Including PTE Academic Online

Pearson 60 with no less than 59 in any of the Communicative Skills 69 with no less than 59 in any of the Communicative Skills 75 with no less than 59 in any of the Communicative Skills

Trinity ISE II

Trinity

Merit Merit Merit Merit in four components

Distinction Distinction Merit Merit in four components

Not Acceptable

Trinity ISE III

Trinity

Pass Pass Pass Pass in four components

Pass Pass Pass Pass in four components

Distinction Distinction Merit Merit in four components

Trinity ISE IV

Trinity

Pass Pass Pass Pass in four components

Pass Pass Pass Pass in four components

Pass Pass Pass Pass in four components

University of Warwick International Foundation Programme EAP module

University of Warwick Credit (50%) overall including minimum Pass (40%) in each component High Credit (60%) overall including minimum Credit (50%) in each component Distinction (70%) overall including minimum High Credit (60%) in each component

 

Please use the table below to find the relevant band for the course(s) in which you are interested. You can sort the table by clicking on the heading of the column you wish to sort by.

DepartmentSelect to sort (ascending) CourseSelect to sort (ascending) UCAS CodeSelect to sort (ascending) BandSelect to sort (ascending)
Centre for Applied Linguistics English Language and Linguistics with Intercalated Year (BA) Q311 Band B
Centre for Applied Linguistics Language, Culture and Communication with Intercalated Year (BA) X3Q8 Band B
Centre for Applied Linguistics Linguistics with Arabic with Intercalated Year (BA) Q2T6 Band B
Centre for Applied Linguistics Linguistics with Chinese with Intercalated Year (BA) Q2T1 Band B
Centre for Applied Linguistics Linguistics with French with Intercalated Year (BA) Q2R1 Band B
Centre for Applied Linguistics Linguistics with German with Intercalated Year (BA) Q2R2 Band B
Centre for Applied Linguistics Linguistics with Italian with Intercalated Year (BA) Q2R3 Band B
Centre for Applied Linguistics Linguistics with Japanese with Intercalated Year (BA) Q2T2 Band B
Centre for Applied Linguistics Linguistics with Russian with Intercalated Year (BA) Q2R7 Band B
Centre for Applied Linguistics Linguistics with Spanish with Intercalated Year (BA) Q2R4 Band B
Centre for Education Studies Education Studies (BA) X35B Band C
Chemistry Chemistry (BSc) F100 Band A
Chemistry Chemistry (MChem) F105 Band A
Chemistry Chemistry with International Placement (MChem) F109 Band A
Chemistry Chemistry with Industrial Placement (MChem) F110 Band A
Chemistry Chemistry with Medicinal Chemistry (BSc) F121 Band A
Chemistry Chemistry with Medicinal Chemistry (MChem) F125 Band A
Classics and Ancient History Classics (BA) Q800 Band B
Classics and Ancient History Classics (Ancient Greek) with Study in Europe (BA) Q801 Band B
Classics and Ancient History Classics (Latin) with Study in Europe (BA) Q802 Band B
Classics and Ancient History Classical Civilisation (BA) Q820 Band B
Classics and Ancient History Classical Civilisation with Study in Europe (BA) Q821 Band B
Classics and Ancient History Classics and English (BA) QQ36 Band B
Classics and Ancient History Ancient History and Classical Archaeology (BA) VV14 Band B
Classics and Ancient History Ancient History and Classical Archaeology with Study in Europe (BA) VV18 Band B
Computer Science Computer Science (BSc) G400 Band A
Computer Science Computer Science (MEng) G403 Band A
Computer Science Discrete Mathematics (BSc) G190 Band A
Computer Science Discrete Mathematics (MEng) G4G3 Band A
Computer Science Computer Science with Business Studies (BSc) GN42 Band A
Computer Science Computer Systems Engineering (BEng) G406 Band A
Computer Science Computer Systems Engineering (MEng) G408 Band A
Creative Arts, Performance and Visual Cultures Media and Creative Industries (BA) P301 Band B
Economics Economics (BSc) L100 Band C
Economics Economics and Industrial Organisation (BSc) L112 Band C
Economics Economics, Politics and International Studies (BSc/BA) LLD2 Band C
Philosophy Philosophy, Politics and Economics (PPE) (BA/BSc) L0V0 Band C
Philosophy Economics, Psychology and Philosophy (EPP) (BA/BSc) L1CA Band C
Engineering Engineering (BEng) H100 Band A
Engineering Engineering (MEng) H102 Band A
Engineering Biomedical Systems Engineering (BEng) H161 Band A
Engineering Biomedical Systems Engineering (MEng) H163 Band A
Engineering Civil Engineering (BEng) H200 Band A
Engineering Civil Engineering (MEng) H202 Band A
Engineering Mechanical Engineering (BEng) H300 Band A
Engineering Mechanical Engineering (MEng) H302 Band A
Engineering Automotive Engineering (BEng) H330 Band A
Engineering Automotive Engineering (MEng) H335 Band A
Engineering Electronic Engineering (BEng) H610 Band A
Engineering Electronic Engineering (MEng) H612 Band A
Engineering Electrical and Electronic Engineering (BEng) H605 Band A
Engineering Electrical and Electronic Engineering (MEng) H606 Band A
Engineering Manufacturing and Mechanical Engineering (MEng) HH37 Band A
Engineering Manufacturing and Mechanical Engineering (BEng) HH73 Band A
Engineering Engineering Business Management (BEng) HN12 Band A
Engineering Systems Engineering (MEng) HH31 Band A
Engineering Systems Engineering (BEng) HH35 Band A
English and Comparative Literary Studies English Literature (BA) Q300 Band B
Creative Arts, Performance and Visual Cultures English Literature and Creative Writing (BA) QW38 Band B
English and Comparative Literary Studies English and History (BA) VQ32 Band B
English and Comparative Literary Studies English and Theatre Studies (BA) QW34 Band B
Film and Television Studies Film and Literature (BA) QW26 Band B
Film and Television Studies Film Studies (BA) W620 Band B
Global Sustainable Development Global Sustainable Development (BASc) L8A1 Band C
Global Sustainable Development Economic Studies and Global Sustainable Development (BASc) L1L8 Band C
Global Sustainable Development Education Studies and Global Sustainable Development (BASc) XL38 Band C
Global Sustainable Development Global Sustainable Development and Business Studies (BASc) L8N1 Band C
Global Sustainable Development Hispanic Studies and Global Sustainable Development (BASc) R4L8 Band C
Global Sustainable Development History and Global Sustainable Development (BASc) V1L8 Band C
Global Sustainable Development Life Sciences and Global Sustainable Development (BASc) C1L8 Band C
Global Sustainable Development Philosophy and Global Sustainable Development (BASc) V5L8 Band C
Global Sustainable Development Politics, International Studies and Global Sustainable Development (BASc) L2L8 Band C
Global Sustainable Development Psychology and Global Sustainable Development (BASc) C8L8 Band C
Global Sustainable Development Sociology and Global Sustainable Development (BASc) L3L8 Band C
Global Sustainable Development Theatre and Performance Studies and Global Sustainable Development (BASc) W4L8 Band C
History History (BA) V100 Band B
History History and Philosophy (BA) V1V5 Band B
History History and Politics (BA) VL12 Band B
History History and Sociology (BA) VL13 Band B
Creative Arts, Performance and Visual Cultures History of Art with Italian (BA) V3R3 Band B
Creative Arts, Performance and Visual Cultures History of Art (BA) V350 Band B
Law Law with Study Abroad in English (LLB) M108 Band C
Law Law with Humanities (BA) MV21 Band C
Law Law with Social Sciences (BA) ML23 Band C
Law Law (LLB) M100 Band C
Law Law (4 Years) (LLB) M101 Band C
Law Law with French Law (LLB) M10A Band C
Law Law with German Law (LLB) M10C Band C
Law Law and Sociology (BA) ML13 Band C
Liberal Arts Liberal Arts (BA) LA99 Band B
Life Sciences Biological Sciences (BSc) C100 Band A
Life Sciences Biological Sciences (MBio) C1A1 Band A
Life Sciences Biological Sciences with Placement Year (BSc) C101 Band A
Life Sciences Biological Sciences with Industrial Placement (MBio) C1A5 Band A
Life Sciences Biochemistry (MBio) C1A2 Band A
Life Sciences Biochemistry (BSc) C700 Band A
Life Sciences Biochemistry with Placement Year (BSc) C701 Band A
Life Sciences Biochemistry with Industrial Placement (MBio) C1A6 Band A
Life Sciences Biomedical Science (MBio) C1A3 Band A
Life Sciences Biomedical Science (BSc) B900 Band A
Life Sciences Biomedical Science with Placement Year (BSc) CB19 Band A
Life Sciences Biomedical Science with Industrial Placement (MBio) C1A7 Band A
Life Sciences Neuroscience (BSc) B140 Band A
Life Sciences Neuroscience with Placement Year (BSc) B141 Band A
Life Sciences Neuroscience (MBio) B142 Band A
Life Sciences Neuroscience with Industrial Placement (MBio) B143 Band A
Mathematics Mathematics (BSc) G100 Band A
Mathematics Mathematics (MMath) G103 Band A
Philosophy Mathematics and Philosophy (BA/BSc) GV15 Band A
Modern Languages and Cultures English and French (BA) QR31 Band B
Modern Languages and Cultures English and German (BA) QR32 Band B
Modern Languages and Cultures English and Italian (BA) QR33 Band B
Modern Languages and Cultures English and Hispanic Studies (BA) QR34 Band B
Modern Languages and Cultures French Studies (BA) R120 Band B
Modern Languages and Cultures French and Economics (BA) R1L1 Band C
Modern Languages and Cultures French and German (BA) RR12 Band B
Modern Languages and Cultures French and History (BA) RV11 Band B
Modern Languages and Cultures French and Italian (BA) RR13 Band B
Modern Languages and Cultures French and Linguistics (BA) R1Q1 Band B
Modern Languages and Cultures French and Theatre Studies (BA) R1WB Band B
Modern Languages and Cultures French with Film Studies (BA) R1W6 Band B
Modern Languages and Cultures German Studies (BA) R220 Band B
Modern Languages and Cultures German and Business Studies (BA) RN21 Band C
Modern Languages and Cultures German and Economics (BA) R2L1 Band C
Modern Languages and Cultures German and History (BA) RV21 Band B
Modern Languages and Cultures German and Italian (BA) RR23 Band B
Modern Languages and Cultures German and Linguistics (BA) R2Q1 Band B
Modern Languages and Cultures German and Theatre Studies (BA) RW24 Band B
Modern Languages and Cultures German with Film Studies (BA) R2P3 Band B
Modern Languages and Cultures History and Italian (BA) VR13 Band B
Modern Languages and Cultures Italian Studies (BA) R300 Band B
Modern Languages and Cultures Italian and Classics (BA) RQ38 Band B
Modern Languages and Cultures Italian and Economics (BA) R3L2 Band C
Modern Languages and Cultures Italian and History of Art (BA) RV33 Band B
Modern Languages and Cultures Italian and Linguistics (BA) R3Q1 Band B
Modern Languages and Cultures Italian and Theatre Studies (BA) R3WA Band B
Modern Languages and Cultures Italian with Film Studies (BA) R3W6 Band B
Modern Languages and Cultures Hispanic Studies (BA) R400 Band B
Modern Languages and Cultures Hispanic Studies and Economics (BA) R4L1 Band C
Modern Languages and Cultures Hispanic Studies and French (BA) RR41 Band B
Modern Languages and Cultures Hispanic Studies and German (BA) RR42 Band B
Modern Languages and Cultures Hispanic Studies and History (BA) R4V1 Band B
Modern Languages and Cultures Hispanic Studies and Italian (BA) RR43 Band B
Modern Languages and Cultures Hispanic Studies and Theatre Studies (BA) R4W4 Band B
Modern Languages and Cultures Hispanic Studies with Film Studies (BA) RP43 Band B
Modern Languages and Cultures Modern Languages (BA) 8R73 Band B
Modern Languages and Cultures Modern Languages and Economics (BA) R9L1 Band C
Modern Languages and Cultures Modern Languages and Linguistics (BA) R9Q1 Band B
Modern Languages and Cultures Modern Languages with Linguistics (BA) R9Q2 Band B
Philosophy Philosophy and Literature (BA) VQ52 Band B
Philosophy Philosophy, Literature and Classics (BA) VQ58 Band B
Philosophy Philosophy with Psychology (BA) V5C8 Band B
Philosophy Philosophy (BA) V500 Band B
Philosophy Politics, Philosophy and Law (PPL) (BA) V7MW Band C
Physics Physics (BSc) F300 Band A
Physics Physics (MPhys) F303 Band A
Physics Physics with Astrophysics (BSc) F3F5 Band A
Physics Physics with Astrophysics (MPhys) F3FA Band A
Physics Mathematics and Physics (BSc) GF13 Band A
Physics Mathematics and Physics (MMathPhys) FG31 Band A
Physics Physics with Business Studies (BSc) FN31 Band A
Politics Politics (BA) L200 Band C
Politics Politics and International Studies (BA) L260 Band C
Politics Politics and International Studies with Chinese (BA) M168 Band C
Politics Politics, International Studies and French (BA) M163 Band C
Politics Politics, International Studies and German (BA) M164 Band C
Politics Politics, International Studies and Italian (BA) M165 Band C
Politics Politics, International Studies and Hispanic Studies (BA) M166 Band C
Politics Politics and Sociology (BA) LL23 Band C
Psychology Psychology (BSc) C800 Band B
Psychology Psychology with Education Studies (BSc) C804 Band B
Psychology Psychology with Linguistics (BSc) C802 Band B
Sociology Sociology (BA) L300 Band C
Sociology Sociology and Criminology (BA) L314 Band C
Statistics Mathematics and Statistics (MMathStat) GGC3 Band B
Statistics Mathematics and Statistics (BSc) GG13 Band B
Statistics Mathematics, Operational Research, Statistics, and Economics (MMORSE) G0L0 Band B
Statistics Mathematics, Operational Research, Statistics, Economics (MORSE) (BSc) GLN0 Band B
Statistics Data Science (BSc) 7G73 Band B
Statistics Data Science (MSci) G304 Band B
Creative Arts, Performance and Visual Cultures Theatre and Performance Studies (BA) W440 Band B
Warwick Business School Management (BSc) N200 Band C
Warwick Business School Management with Placement Year (BSc) N20Y Band C
Warwick Business School Management (with Foundation Year) (BSc) N20A Band C
Warwick Business School Management (with Foundation Year) with Placement Year (BSc) N20J Band C
Warwick Business School International Management (BSc) N290 Band C
Warwick Business School Accounting and Finance (BSc) NN34 Band C
Warwick Business School Accounting and Finance with Placement Year (BSc) N40Y Band C
Warwick Business School Accounting and Finance (with Foundation Year) with Placement Year (BSc) N4N4 Band C
Warwick Business School Accounting and Finance (with Foundation Year) (BSc) N40J Band C
Warwick Manufacturing Group Cyber Security (BSc) H651 Band B
Warwick Manufacturing Group Digital Healthcare Science (BSc) I511 Band A
Warwick Medical School Integrated Science (MSci) CF10 Band A
Warwick Medical School Health and Medical Sciences (BSc) B990 Band B

If you are an overseas or EU student enrolling in 2022, your annual tuition fees will be as follows:

  • Band 1 – £22,280 per year (classroom-based courses, including Humanities and most Social Science courses)
  • Band 2 – £28,410 per year (laboratory-based courses, plus Theatre and Performance Studies, Economics, and courses provided by Warwick Business School, with exceptions)

Fees for 2023 entry have not been set. We will publish updated information here as soon as it becomes available, so please check back for updates about 2023 fee rates before you apply.

Warwick Undergraduate Global Excellence Scholarship 2022

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.

Recent graduates have pursued job roles such as:

  • Actuaries, economists and statisticians
  • Software developers
  • Chartered and certified accountants
  • Finance and investment analysts
  • Teachers
  • Telecommunication designers
  • Data scientists and engineers
  • Academics

UK firms that have employed recent Warwick graduates from the Mathematics and Statistics Departments include:

  • Adder Technology
  • Astra Zeneca
  • Amazon
  • BlackRock International
  • Merrill Lynch
  • Brainlabs
  • Civil Service
  • Conduent
  • Darktrace
  • Deloitte
  • Department of Health
  • eBay
  • Ford Motor Company
  • Fore Consulting
  • Goldman Sachs
  • Government Actuaries
  • Investec
  • Jane Street Capital
  • KPMG
  • Lloyds
  • MBDA
  • Metaswitch
  • Met Office
  • Ministry of Justice
  • RenaissanceRe (Syndicate 1458)
  • Oxford Clinical Trials Unit
  • Softwire
  • Solid Solutions
  • Sword Apak
  • Ten10
  • Towers Watson
  • Xafinity

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