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Mathematics with Spanish

Mathematics with Spanish

BSc
  • UCAS code G1R4
  • Option 3 years full time
  • Year of entry 2021

The course

Spanish is one of the world’s major languages, with more than 470 million native speakers, including in Spain and across Latin America. It is the official language of 15 countries. Spain itself has the fifth largest population and the fifth largest economy in the EU. By studying Spanish as part of your degree you will have the chance to learn about the fascinating history and cultural diversity of the Hispanic world, and its economic and political influence. There has always been a logical connection between the study of mathematics and languages and this course allows you to immerse yourself in both and leave the doors open as to your future options.

Galileo famously described the universe as a book written in a mathematical language, and this concept of mathematics as a universal language has never been more relevant in our technologically advanced and globalised world. On this course you will gain a thorough grounding in the key concepts and methods of mathematics, which comprises 75% of the course, whilst honing your Spanish language skills and gaining valuable cross-cultural perspectives. Your language classes will be taught in Spanish by skilled linguists, most of whom are native speakers, drawn from across the Hispanic world. Spanish can be picked up relatively easily from scratch, particularly if you already speak some French, but we also teach it at an advanced level if you have studied it before.

All three years of this course are completed in the UK. Its modular structure allows you to tailor your studies to your own interests. You will not only improve your numerical skills and your proficiency at reading, writing, listening and speaking in Spanish, but you will also gain transferable skills such as critical thinking, analysis, research, data handling and creative problem-solving. 

Our Department of Mathematics is internationally renowned for its work in pure mathematics, information security, statistics and theoretical physics, and our broad curriculum spans pure and applied mathematics, statistics and probability, and the mathematics of information and of financial markets. Both departments offer friendly and motivating learning environments and a strong focus on small group teaching and ongoing academic support, with a personal adviser to guide you through your studies. We also offer a competitive work placement scheme.

Our flexible degree programmes enable you to apply to take a Placement Year, which can be spent studying abroad, working or carrying out voluntary work. You can even do all three if you want to (minimum of three months each)! To recognise the importance of this additional skills development and university experience, your Placement Year will be formally recognised on your degree certificate and will contribute to your overall result. Please note conditions may apply if your degree already includes an integrated year out, please contact the Careers & Employability Service for more information. Find out more

  • Specialise in mathematics and hone your language skills by learning Spanish to an advanced level.
  • Work across two friendly departments, where the focus is on small group teaching and you will be known as an individual.
  • Tailor your degree to your own interests, with our wide range of optional modules.

Core Modules

Year 1
  • In this module, you will develop an understanding of the key concepts in Calculus, including differentiation and integration. You will learn how to factorise polynomials and separate rational functions into partial fractions, differentiate commonly occurring functions, and find definite and indefinite integrals of a variety of functions using substitution or integration by parts. You will also examine how to recognise the standard forms of first-order differential equations, and reduce other equations to these forms and solve them.

  • In this module you will develop an understanding of the fundamental algebraic structures, including familiar integers and polynomial rings. You will learn how to apply Euclid's algorithm to find the greatest common divisor of two integers, and use mathematical induction to prove simple results. You will examine the use of arithmetic operations on complex numbers, extract roots of complex numbers, prove De Morgan's laws, and determine whether a given mapping is bijective.

  • In this module you will develop an understanding of key mathematical concepts such as the construction of real numbers, limits and convergence of sequences, and continuity of functions. You will look at the infinite processes that are essential for the development of areas such as calculus, determining whether a given sequence tends to a limit, and finding the limits of sequences defined recursively.

  • In this module you will develop an understanding of the calculus functions of more than one variable and how it may be used in areas such as geometry and optimisation. You learn how to manipulate partial derivatives, construct and manipulate line integrals, represent curves and surfaces in higher dimensions, calculate areas under a curve and volumes between surfaces, and evaluate double integrals, including the use of change of order of integration and change of coordinates.

  • In this module you will develop an understanding of basic linear algebra, in particular the use of matrices and vectors. You will look at the basic theoretical and computational techniques of matrix theory, examining the power of vector methods and how they may be used to describe three-dimensional space. You will consider the notions of field, vector space and subspace, and learn how to calculate the determinant of an n x n matrix.

You will take one of the following:
  • The module develops students' command of both Spanish-English translation and critical analysis of Spanish-language material by exposing them to a range of source material which might include prose fiction, poetry, drama, film, graphic novels, multimedia and web content, and newspaper and magazine articles.

  • The module aims to develop reading and writing skills in Spanish. Classes use Spanish as much as possible and the module is assessed in Spanish. The module uses a blended approach: it is based on a beginners' coursebook with additional material on Moodle and as weekly hand-outs based on authentic material. Themes studied vary from year to year but are likely to include every-day life in France, an introduction to Spanish-speaking society and culture, regions and traditions.

  • The module aims to develop speaking and listening skills in Spanish. Classes use Spanish as much as possible and the module is assessed in Spanish. The module uses a blended approach: it is based on a beginners' coursebook with additional material on Moodle and as weekly hand-outs based on authentic material. Themes studied vary from year to year but are likely to include every-day life in Spanish-speaking countries, an introduction to Spanish-speaking society and culture, regions and traditions.

  • The module aims to expand students’ ability to express themselves in accurate written Spanish. Major grammatical issues will be taught and/or revised, and students will work on a wide range of authentic material in Spanish to expand their vocabulary and range of expressions. Key linguistic features of the texts will be identified and discussed to improve the student’s language acquisition and analysis skills.  The module will be taught and assessed in Spanish.

     

  • The module aims to expand students’ ability to express themselves in accurate spoken Spanish. Students will work on a wide range of authentic material in Spanish to expand their vocabulary and range of expressions and to introduce them to contemporary issues and culture. The module will be taught and assessed in Spanish.

Year 2
  • In this module you will develop an understanding of vectors and matrices within the context of vector spaces, with a focus on deriving and using various decompositions of matrices, including eigenvalue decompositions and the so-called normal forms. You will learn how these abstract notions can be used to solve problems encountered in other fields of science and mathematics, such as optimisation theory.

  • In this module you will develop an understanding of the basic complex variable theory. You will look at the definitions of continuity and differentiability of a complex valued function at a point, and how Cauchy-Riemann equations can be applied. You will examine how to use a power series to define the complex expontential function, and how to obtain Taylor series of rational and other functions of standard type, determining zeros and poles of given functions. You will also consider how to use Cauchy's Residue Theorem to evaulate real integrals.

  • This course introduces you to the basics of Python programming for building solutions to mathematics-based tasks. This will encourage a deeper understanding of the mathematics that you will learn across your degree, developing general mathematical skills and group working. Additionally, the module will provide guidance through the process of applying for a summer internship or job, as well as reviewing the range of career options available to Mathematicians upon graduation.

You will take one of the following:
  • Intensive Spanish II
  • Spanish II
  • Advanced Spanish Translation: Skills and Practice
Year 3
  • Spanish III

Optional Modules

There are a number of optional course modules available during your degree studies. The following is a selection of optional course modules that are likely to be available. Please note that although the College will keep changes to a minimum, new modules may be offered or existing modules may be withdrawn, for example, in response to a change in staff. Applicants will be informed if any significant changes need to be made.

Year 1
  • In this module you will develop an understanding of how mathematics has been used to describe space over the last 2,500 years. You will look at ruler and compass constructions from ancient Greece, the influence of algebra on geometry in the renaissance, and the intricate and beautiful fractal patterns developed by Benoît Mandelbrot in the 1970s. You will learn to sketch simple curves using polar coordinates, draw and classify conics, and use simple arguments to distinguish between countable and uncountable sets.

  • In this module, you will develop an understanding of how the techniques for solving differential equations can be applied to describe the real world. You will look at situations from balls flying through the air to planets orbiting the stars, including why the moon continues to orbit the Earth and not the Sun. You will consider the chatotic motion of a pendulum, and examine Einstein's theory of special relativity to describe the propagation of matter and light at high speeds.

  • In this module you will develop an understanding of the notion of probability and the basic theory and methods of statistics. You will look at random variables and their distributions, calculate probabilities of events that arise from standard distributions, estimate means and variances, and carry out t tests for means and differences of means. You will also consider the notions of types of error, power and significance levels, gaining experience in sorting a variety of data sets in a scientific way.

Year 2
  • In this module you will develop an understanding of the concepts of scalar and vector fields. You examine how vector calculus is used to define general coordinate systems and in differential geometry. You will learn how to solve simple partial differential equations by separating variables, and become familiar with how these concepts can be appield in the field of dynamics of inviscid fluids.

  • In this module you will develop an understanding of statistical modelling, becoming familiar with the theory and the application of linear models. You will learn how to use the classic simple linear regression model and its generalisations for modelling dependence between variables. You will examine how to apply non-parametric methods, such as the Wilxocon and Kolmogorov-Smirnov goodness-of-fit tests, and learn to use the R open source software package.

  • In this module you will develop an understanding of ring theory and how this area of algebra can be used to address the problem of factorising integers into primes. You will look at how these ideas can be extended to develop notions of 'prime factorisation' for other mathematical objects, such as polynomials. You will investigate the structure of explicit rings and learn how to recognise and construct ring homomorphisms and quotients. You will examine the Gaussian integers as an example of a Euclidean ring, Kronecker's theorem on field extensions, and the Chinese Remainder Theorem.

  • In this module you will develop an understanding of the convergence of series. You will look at the Weierstrass definition of a limit and use standard tests to investigate the convergence of commonly occuring series. You will consider the power series of standard functions, and analyse the Intermediate Value and Mean Value Theorems. You will also examine the properties of the Riemann integral.

  • In this module you will develop an understanding of the basic principles of the mathematical theory of probability. You will use the fundamental laws of probability to solve a range of problems, and prove simple theorems involving discrete and continuous random variables. You will learn how to forumulate an explain fundamental limit theorems, such as the weak law of large numbers and the central limit theorem.

  • In this module you will develop an understanding of the basic concepts of graph theory and linear programming. You will consider how railroad networks, electrical networks, social networks, and the web can be modelled by graphs, and look at basic examples of graph classes such as paths, cycles and trees. You will examine the flows in networks and how these are related to linear programming, solving problems using the simplex algorithm and the strong duality theorem.

  • In this module you will develop an understanding of the concepts arising when the boundary conditions of a differential equation involves two points. You will look at eigenvalues and eigenfunctions in trigonometric differential equations, and determine the Fourier series for a periodic function. You will learn how to manipulate the Dirac delta-function and apply the Fourier transform. You will also examine how to solve differential equations where the coefficients are variable.

  • In this module you will develop an understanding of the algebraic structures known as groups. You will look at how groups represent symmetries in the world around us, examining examples that arise from the theory of matrices and permutations. You will see how groups are ubiquitous and used in many different fields of human study, including mathematics, physics, the study of crystals and atoms, public key cryptography, and music theory. You also will also consider how various counting problems concerning discrete patterns can be solved by means of group actions.

  • In this module you will develop an understanding of the language and concepts of linear algebra that are used within Mathematics. You will look at topics in linear algebra and the theory of modules, which can be seen as generalisations of vector spaces. You will learn how to use alternative matrix representations, such as the Jordan canonical or the rational canonical form, and see why they are important in mathematics.

Year 3
  • You will carry out a detailed investigation on a topic of your choosing, guided by an academic supervisor. You will prepare a written report around 7,000 words in length, and give a ten-minute presentation outlining your findings.

  • In this module you will develop an understanding of how prime numbers are the building blocks of the integers 0, ±1, ±2, … You will look at how simple equations using integers can be solved, and examine whether a number like 2017 should be written as a sum of two integer squares. You will also see how Number Theory can be used in other areas such as Cryptography, Computer Science and Field Theory.

  • In this module you will develop an understanding the different classes of computational complexity. You will look at computational hardness, learning how to deduce cryptographic properties of related algorithms and protocols. You will examine the concept of a Turing machine, and consider the millennium problems, including P vs NP, with a $1,000,000 prize on offer from the Clay Mathematics Institute if a correct solution can be found.

  • In this module you will develop an understanding of quantum theory, and the development of the field to explain the behaviour of particles at the atomic level. You will look at the mathematical foundations of the theory, including the Schrodinger equation. You will examine how the theory is applied to one and three dimensional systems, including the hydrogen atom, and see how a probabilistic theory is required to interpret what is measured.

  • In this module, you will develop an understanding of non-linear dynamical systems. You will investigate whether the behaviour of a non-linear system can be predicted from the corresponding linear system, and see how dynamical systems can be used to analyse mechanisms such as the spread of disease, the stability of the universe, and the evolution of economic systems. You will gain an insight into the 'secrets' of the non-linear world and the appearance of chaos, examining the significant developments achieved in this field during the final quarter of the 20th Century.

  • In this module you will develop an understanding of the main priciples and methods of statstics, in particular the theory of parametric estimation and hypotheses testing.You will learn how to formulate statistical problems in mathematical terms, looking at concepts such as Bayes estimators, the Neyman-Pearson framework, likelihood ratio tests, and decision theory.

  • In this module you will develop an understanding of some of the descriptive methods and theoretical techniques that are used to analyse time series. You will look at the standard theory around several prototype classes of time series models and learn how to apply appropriate methods of times series analysis and forecasting to a given set of data using Minitab, a statistical computing package. You will examine inferential and associated algorithmic aspects of time-series modelling and simulate time series based on several prototype classes.

  • In this module you will develop an understanding of the mathematics of communication, focusing on digital communication as used across the internet and by mobile telephones. You looking at compression, considering how small a file, such as a photo or video, can be made, and therefore how the use of data can be minimised. You will examine error correction, seeing how communications may be correctly received even if something goes wrong during the transmission, such as intermittent wifi signal. You will also analyse the noiseless coding theorem, defining and using the concept of channel capacity.

  • In this module you will develop an understanding of how financial markets operate, with a focus on the ideas of risk and return and how they can be measured. You will look at the random behaviour of the stock market, Markowitz portfolio optimisation theory, the Capital Asset Pricing Model, the Binomial model, and the Black-Scholes formula for the pricing of options.

  • In this module you will develop an understanding of some of the standard techniques and concepts of combinatorics, including methods of counting, generating functions, probabilistic methods, permutations, and Ramsey theory. You will see how algebra and probability can be used to count abstract mathematical objects, and how to calculate sets by inclusion and exclusion. You will examine the applications of number theory and consider the use of simple probabilistic tools for solving combinatorial problems.

  • In this module you will develop an understanding of how error correcting codes are used to store and transmit information in technologies such as DVDs, telecommunication networks and digital television. You will look at the methods of elementary enumeration, linear algebra and finite fields, and consider the main coding theory problem. You will see how error correcting codes can be used to reconstruct the original information even if it has been altered or degraded.

  • In this module you will develop an understanding of the elementary ideas of electromagnetism. You will learn how to calculate electric fields and electric potentials from given fixed charge distributions and how to calculate magnetic fields and vector potentials from given steady current distributions. You will examine the magnetic effects of currents, including electromagnetic induction and displacement currents, and analyse the Biot-Savart law and Ampere's law. You will examine Maxwell's equations, and the properties of electromagnetic waves in free space, as well as electric and magnetic dipoles and the electromagnetism of matter.

  • In this module you will develop an understanding of Field Theory. You will learn how to express equations such as X2017=1 in a formal algebraic setting, how to classify finite fields, and how to determine the number of irreducible polynomials over a finitie field. You will also consider some the applications of fields, including ruler and compass constructions and why it is impossible to generically trisect an angle using them.

  • In this module you will develop an understanding of a range of methods for teaching children up to A-level standard. You will act act as a role model for pupils, devising appropriate ways to convey the principles and concepts of mathematics. You will spend one session a week in a local school, taking responsibility for preparing lesson plans, putting together relevant learning aids, and delivering some of the classes. You will work with a specific teacher, who will act as a trainer and mentor, gaining valuable transferable skills.

  • In this module you will develop an understanding of a range methods used for testing and proving primality, and for the factorisation of composite integers. You will look at the theory of binary quadratic forms, elliptic curves, and quadratic number fields, considering the principles behind state-of-the art factorisation methods. You will also look at how to analyse the complexity of fundamental number-theoretic algorithms.

  • In this module you will develop an understanding of efficient algorithm design and its importance for handling large inputs. You will look at how computers have changed the world in the last few decades, and examine the mathematical concepts that have driven these changes. You will consider the theory of algorithm design, including dynamic programming, handling recurrences, worst-case analysis, and basic data structures such as arrays, stacks, balanced search trees, and hashing.

  • In this module you will develop an understanding of how the theory of ideal fluids can be used to explain everyday phenomena in the world around us, such as how sound travels, how waves travel over the surface of a lake, and why golden syrup (or volcanic lava) flows differently from water. You will look at the essential features of compressible flow and consider basic vector analysis techniques.

  • In this module you will develop an understanding of how the Rayleigh-Ritz variational principle and perturbation theory can be used to obtain approximate solutions of the Schrödinger equation. You will look at the mathematical basis of the Period Table of Elements, considering spin and the Pauli exclusion principle. You will also examine the quantum theory of the interaction of electromagnetic radiation with matter.

  • In this module you will develop an understanding of the probabilistic methods used to model systems with uncertain behaviour. You will look at the structure and concepts of discrete and continuous time Markov chains with countable stable space, and consider the methods of conditional expectation. You will learn how to generate functions, and construct a probability model for a variety of problems.

  • In this module you will develop an understanding of how the behaviour of quantum systems can be harnessed to perform information processing tasks that are otherwise difficult, or impossible, to carry out. You will look at basic phenomena such as quantum entanglement and the no-cloning principle, seeing how these can be used to perform, for example, quantum key distribution. You will also examine a number of basic quantum computing algorithms, observing how they outperform their classical counterparts when run on a quantum computer.

  • In this module you will develop an understanding of the role of mathematics and statistics in securities markets. You will investigate the validity of various linear and non-linear time series occurring in finance, and apply stochastic calculus, including partial differential equations, for interest rate and credit analysis. You will also consider how spot rates and prices for Asian and barrier exotic options are modelled.

  • In this module you will develop an understanding of how error correcting codes are used to store and transmit information in technologies such as DVDs, telecommunication networks and digital television. You will look at the methods of elementary enumeration, linear algebra and finite fields, and consider the main coding theory problem. You will see how error correcting codes can be used to reconstruct the original information even if it has been altered or degraded.

  • In this module you will develop an understanding of public key cryptography and the mathematical ideas that underpin it, including discrete logarithms, lattices and elliptic curves. You will look at several important public key cryptosystems, including RSA, Rabin, ElGamal encryption and Schnorr signatures. You will consider notions of security and attack models relevant for modern theoretical cryptography, such as indistinguishability and adaptive chosen ciphertext attack.

  • In this module you will develop an understanding of the algebraic structures known as groups. You will look at how groups represent symmetries in the world around us, examining examples that arise from the theory of matrices and permutations. You will see how groups are ubiquitous and used in many different fields of human study, including mathematics, physics, the study of crystals and atoms, public key cryptography, and music theory. You also will also consider how various counting problems concerning discrete patterns can be solved by means of group actions.

  • In this module you will develop an understanding of the language and concepts of linear algebra that are used within Mathematics. You will look at topics in linear algebra and the theory of modules, which can be seen as generalisations of vector spaces. You will learn how to use alternative matrix representations, such as the Jordan canonical or the rational canonical form, and see why they are important in mathematics.

  • In this module you will develop an understanding of geometric objects and their properties. You will look at objects that are preserved under continuous deformation, such as through stretching or twisting, and will examine knots and surfaces. You will see how colouring a knot can be used to determine whether or not it can be transformed into the unknot without any threading. You will also consider why topologists do not distinguish between a cup and a donut.

The course has a flexible, modular structure and you will take a total of 12 course units at a rate of four, 30-credit modules per year. In addition to our compulsory core modules you will be free to choose between a number of optional courses. Some contribute 15 credits to your overall award while others contribute the full 30.

We use a variety of teaching methods and there is a strong focus on small group teaching throughout the course. You will attend 12 to 15 hours of formal teaching in a typical week, including lectures, seminars, group tutorials, statistics and IT classes, problem-solving workshops in mathematics, and role play and conversational classes in Spanish. You will also be expected to work on worksheets, revision and project work outside of class time, and you will have access to a host of online resources on Moodle, the University's e-learning facility. In year 2, much of our mathematics teaching will be delivered through lectures, workshops and practical classes, and in year 3, mostly through relatively small group lectures and supervised project work. Our language teaching is mainly through seminars and small group work, with some lectures.

Assessment is through a mixture of coursework and end-of-year examinations, depending on the course units you choose to take. Statistics and computational courses may include project work and tests, and Italian coursework will include essays, language and translation exercises and written reports. Some Spanish modules include oral presentations and computer-based tests to help assess grammar and comprehension skills. All students work in small groups to prepare a report and an oral presentation on a mathematical topic of their choice, which contributes towards one of the core subject marks in year 2, and two of the optional mathematics units in year 3 are examined solely by a project and presentation.

You will be required to take a study skills course during year 1, to equip you with and enhance the writing skills you will need to be successful in your degree. This does not count towards your final degree but you are required to pass it to progress to your second year.

A Levels: AAB-ABB

Required subjects:

  • A-level in Mathematics at grade A
  • A-level in Spanish at grade B for the advanced level language pathway, or grade B in an essay-based subject for the beginners' level language pathway
  • At least five GCSEs at grade A*-C or 9-4 including English and Mathematics.

Where an applicant is taking the EPQ alongside A - levels, the EPQ will be taken into consideration and result in lower A-level grades being required. Socio - economic factors which may have impacted an applicant's education will be taken into consideration and alternative offers may be made to these applicants.

English language requirements

All teaching at Royal Holloway (apart from some language courses) is in English. You will therefore need to have good enough written and spoken English to cope with your studies right from the start.

The scores we require
  • IELTS: 6.0 overall. No subscore lower than 5.5.
  • Pearson Test of English: 61 overall. No subscore lower than 51.
  • Trinity College London Integrated Skills in English (ISE): ISE III.
  • Cambridge English: Advanced (CAE) grade C.

Country-specific requirements

For more information about country-specific entry requirements for your country please visit here.

For international students who do not meet the direct entry requirements, we offer an International Foundation Year, run by Study Group at the Royal Holloway International Study Centre. Upon successful completion, you may progress on to selected undergraduate degree programmes at Royal Holloway, University of London.

By combining your mathematics with Spanish you will find yourself in demand for your valuable combination of numeracy and language skills, and you will be well placed to take advantage of the globalised jobs market. Employers will value your cross-cultural awareness and understanding and your ability to communicate clearly, research effectively, analyse and handle complex data, approach problems with creativity and employ logical thinking.

We have a strong track record of preparing our students for the world of work and research. Graduates from the two departments have gone on to enjoy successful careers in international management and consultancy, computer analysis and programming, teaching, sales and marketing, media and publishing, banking, accountancy, law, the arts, the civil service, politics, travel and tourism, translating and interpreting, finance, risk analysis, research and engineering.

They work for employers as diverse as: KPMG, Ernst & Young, the Ministry of Defence, Barclays Bank, Lloyds Banking Group, the Department of Health, Logica, McLaren, TowersWatson Fleishman-Hillard, the Canadian High Commission in London, UBS Investment Bank, BBC, Pearson Education Limited, London Chamber of Commerce, the Foreign and Commonwealth Office, Thomson Reuters, Fremantle Media, Citigroup, Crédit Suisse, JP Morgan Chase, Mills & Reeve Solicitors, Deloitte & Touche LLP, Burberry, the Government Economic Service, Little Brown Book Group, Estée Lauder Companies, Systema Human Information Services, Bloomberg Tradebrook Europe, Pineapple, and Amazon UK.

Our Mathematics department is part of the School of Mathematics and Information Security and we enjoy strong ties with the information security sector as well as with industry at large. We offer a competitive work experience scheme at the end of year 2, with short-term placements available during the summer holidays. You will also attend a CV writing workshop as part of your core modules in year 2, and your personal adviser and the campus Careers team will be on hand to offer advice and guidance on your chosen career. The Royal Holloway Careers and Employability Service offers tailored sessions for mathematics and modern languages students on finding summer internships or holiday jobs and securing employment after graduation.

  • Develop advanced mathematical and language skills and gain a cross-cultural perspective that will give you a competitive edge in the globalised world.
  • Keep your options open by equipping yourself with language skills that could help you live and work in Europe or throughout the Spanish-speaking world.
  • Take advantage of our summer work placement scheme and fine-tune your CV before you enter your final year.
  • Benefit from a personal adviser to guide you through your studies.

Home (UK) students tuition fee per year*: £9,250

EU and International students tuition fee per year**: £21,400

Other essential costs***: There are no single associated costs greater than £50 per item on this course.

How do I pay for it? Find out more about funding options, including loansscholarships and bursaries. UK students who have already taken out a tuition fee loan for undergraduate study should check their eligibility for additional funding directly with the relevant awards body.

*The tuition fee for UK undergraduates is controlled by Government regulations. For students starting a degree in the academic year 2020/21, the fee will be £9,250 for that year. The fee for UK undergraduates starting in 2021/22 has not yet been confirmed.

**The Government has confirmed that EU nationals starting a degree in 2020/21 will pay the same fee as UK students for the duration of their course. For EU nationals starting a degree in 2021/22, the UK Government has recently confirmed that you will not be eligible to pay the same fees as UK students, nor be eligible for funding from the Student Loans Company. This means you will be classified as an international student. At Royal Holloway, we wish to support those students affected by this change in status through this transition. For eligible EU students starting their course with us in September 2021, we will award an automatic fee reduction which brings your fee into line with the fee paid by UK students. This will apply for the duration of your course.

Fees for international students may increase year-on-year in line with the rate of inflation. The policy at Royal Holloway is that any increases in fees will not exceed 5% for continuing students. For further information see fees and funding and our terms and conditions. Fees shown above are for 2020/21 and are displayed for indicative purposes only.

***These estimated costs relate to studying this particular degree programme at Royal Holloway. Costs, such as accommodation, food, books and other learning materials and printing etc., have not been included.

Accreditation

Institute of Mathematics and its Applications

This course is accredited by the Institute of Mathematics and its Applications (IMA). On successful completion of the programme, you will to meet, in part, the educational requirements for Chartered Mathematician status.

96% Percentage of our mathematics graduates who are in work or undertaking further study within six months of leaving

Source: DLHE, 2017

98% Percentage of our Mathematics students who are satisfied overall.

Source: National Student Survey, 2017

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