Data Science BSc

at University of Warwick

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