BSc Jt Hons UCAS Code
How do government economic policies affect us? What drives inflation and interest rates? How can using mathematical models help tackle unemployment? Our BSc Mathematics and Economics explores these questions and more.
This course enables you to study mathematics whilst learning key economic principles. It is run jointly by the School of Mathematical Sciences and the School of Economics.
How do government economic policies affect us? What drives inflation and interest rates? How can using mathematical models help tackle unemployment? Our BSc Mathematics and Economics explores these questions and more.
This course enables you to study mathematics whilst learning key economic principles. It is run jointly by the School of Mathematical Sciences and the School of Economics.
Our co-created curriculum is redefining studying maths. Imagine being part of a vibrant community where students have actively shaped the degree programmes.
We believe in collaboration, and that's why our students, industry professionals, and alumni joined forces with our dedicated staff to design degrees suitable for the real world. As you would expect there is emphasis on mathematical concepts and techniques, but with a practical application too.
These transferable skills can help in your career planning. Many of our graduates work in roles including government, international trade and education.
This online prospectus has been drafted in advance of the academic year to which it applies. Every effort has been made to ensure that the information is accurate at the time of publishing, but changes (for example to course content) are likely to occur given the interval between publishing and commencement of the course. It is therefore very important to check this website for any updates before you apply for the course where there has been an interval between you reading this website and applying.
You will broaden and deepen your knowledge of mathematical ideas and techniques using a wide variety of different methods of study. Teaching is predominantly in-person, supplemented by online methods (such as flipped learning) where appropriate.
In both academia and the wider world of work, mathematics has become a collaborative discipline, and our degree programme takes this into account. As well as more traditional individual study methods, where you work on challenging mathematical problems, you will also collaborate with other students in group problem solving sessions. You will write about your work in reports and present your findings to your study group.
Here’s just some of the changes we have introduced to the degrees to ensure you get the most out of your mathematical learning:
You will be assessed using a combination of examinations, coursework, computing assignments, group projects and presentations. The specific combination of learning activities will depend on your choice of modules and will be aligned with the topics covered.
The first year is a qualifying year but does not count towards your final degree classification. Your final degree classification will be based on marks gained for your second and subsequent years of study. Year two is worth 33% with year three worth 67% of your final marks.
You will be given a copy of our marking criteria which provides guidance on how your work is assessed. Your work will be marked in a timely manner and you will have regular opportunities to give and receive feedback on your progress with your tutor and lecturers.
The majority of modules are worth 10 or 20 credits. You will study modules totalling 120 credits in each year. As a guide one credit equates to approximately 10 hours of work. During the first year, you will typically spend approximately:
You can attend drop-in sessions each week up to a maximum of two hours and the remaining time will be spent in independent study.
In later years, you are likely to spend up to 15 hours per week in lectures and workshops subject to your module selection.
In your first year you will meet with your personal tutor every week during term time. In small groups of 5 to 6 students, you'll run through core topics and practice working together in a group to solve problems and communicate mathematics effectively.
All of our modules are delivered by lecturers or professors. PhD students sometimes support problem classes and computing workshops in their areas of expertise. Lectures in the first two years often include at least 200 students but class sizes are much more variable in the third year subject to module selection.
In this Autumn semester module, you’ll be introduced to the basic mathematical concepts that underpin all degree programmes offered by the School of Mathematical Sciences. The major components are:
The overall aim of the module is to build on your existing mathematical knowledge, with an emphasis on developing mathematical skills, deepening understanding, and increasing confidence in applying a broad range of concepts and techniques. More specifically, the module introduces and provides practice in logical reasoning and rigorous mathematical thinking, particularly in relation to linear algebra and real analysis.
In this Spring semester module, you’ll build upon the basic mathematical concepts covered in ‘Core Mathematics 1’ and provides practice in logical reasoning and rigorous mathematical thinking, particularly in relation to linear algebra and real analysis. The major components are:
Macroeconomics is the study of the aggregate economy, focusing on the cyclical pattern of aggregate output and co-movement of real and monetary aggregates in general equilibrium. A series of basic models used in modern macroeconomics are introduced, with a particular focus on dynamic general equilibrium modelling tools and techniques necessary to build theoretical models.
In this module you will learn about the behaviour of firms and households in situations of competitive and imperfectly competitive markets.
Probability theory allows us to assess risk when calculating insurance premiums. It can help when making investment decisions. It can be used to estimate the impact that government policy will have on climate change or the spread of disease. In this module, you will study the theory and practice of discrete and continuous probability, including topics such as Bayes’ theorem, multivariate random variables, probability distributions and the central limit theorem.
Statistics is concerned with methods for collecting, organising, summarising, presenting and analysing data. It enables us to draw valid conclusions and make reasonable decisions based on statistical analysis. It can be used to answer a diverse range of questions in areas such as the pharmaceuticals industry, economic planning and finance. In this module you’ll study statistical inference and learn how to analyse, interpret and report data. Topics that you’ll learn about include, point estimators and confidence intervals, hypothesis testing, linear regression and goodness-of-fit tests.
This course introduces the theory and applications of functions of a complex variable, using an approach oriented towards methods and applications. You will also learn about functions of complex variables and study topics including, analyticity, Laurent series, contour integrals and residue calculus and its applications.
In this module you will further develop your understanding of the tools of real analysis. This provides you with a solid foundation for subsequent modules in metric spaces, numerical analysis and PDE modelling. You will study topics such as convergence, norms and topology of multidimensional space, convergence of sequences of functions and applications of differentiation and integration.
Pure mathematics at university is typically very different to the pure mathematics you've learnt at school or college. In this module, you'll use the language of sets, functions and relations to study abstract mathematical ideas. You will also learn how to construct mathematical proofs. Topics that you will learn about include set theory, prime numbers, symmetry and groups, and integer and polynomial arithmetic.
You’ll learn how to construct and analyse differential and difference equations that model real-world systems. Applications that you’ll learn about include systems governed by Newton’s laws of motion, such as sets of interacting particles and the orbits of planets, as well as models of population dynamics. You will also be introduced to the mathematical basis of concepts such as work and energy, including an introduction to the basic ideas of quantum mechanics.
This module is a general introduction to the economic problems of developing countries. The module will cover such topics as:
This module generalises and builds upon the econometric techniques covered in the year one module, Mathematical Economics and Econometrics. This will involve introducing a number of new statistical and econometric concepts, together with some further development of the methodology that was introduced in year one. The multivariate linear regression model will again provide our main framework for analysis.
This module introduces you to a range of statistical techniques that can be used to analyse the characteristics of univariate economic time series. The basic theoretical properties of time series models are discussed and we consider methods for fitting and checking the adequacy of empirical time series models. Methods of forecasting future values of economic time series are then considered.
This module will look at:
This module provides a foundation in behavioural economics and the role of experimental methods in economics. The traditional approach in economics is to explain market outcomes and economic decision-making using simple theoretical models based on perfectly rational, self-interested agents who maximise their wellbeing by carefully weighing up the costs and benefits of different alternatives. Behavioural economics, on the other hand, aspires to relax these stringent assumptions and develop an understanding of how real people actually make decisions.
The module will introduce you to behavioural and experimental economics, discuss these fields from a methodological perspective and examine several areas of economic analysis in which they are applied. This will include individual choice under risk and uncertainty, decision-making in strategic situations and competition in markets.
This module will offer an introduction to some theoretical concepts related to the allocation of risk by financial institutions. Then it will apply these concepts to the analysis of financial and banking crises.
This module provides an economic analysis of the theory and practice of organisation of firms and industries. It explores the nature of competition among firms and their behaviour in various markets, with the specific emphasis on imperfectly competitive markets. Tools for both empirical and theoretical approaches to the analysis of industries are covered.
Starting from a detailed analysis of market structures, the module goes on to discuss various aspects of firms' behaviour and their influence on market outcome. Among the behaviours covered in the module are price discrimination, vertical integration, advertising, research and development activities and entry and exit of firms. Government regulation of industries is also discussed.
This module is an introduction to international trade theory and policy. It covers the core trade theories under perfect and imperfect competition and applies them to understanding the pattern of trade, gains from trade and modern topics like foreign outsourcing. On the policy side, it examines the effects of different government trade policy instruments and the role of international trade agreements.
This module provides an introduction to the economics of the labour market. We will look at some basic theories of how labour markets work and examine evidence to see how well these theories explain the facts.
Particular attention will be given to the relationship between the theory, empirical evidence and government policy. The module will refer especially to the UK labour market, but reference will also be made to other developed economies.
This module will address both the fundamental and applied aspects of macroeconomic theory. In particular, the module will focus on:
The module will review the so-called modern approach to aggregate demand and aggregate supply. This entails incorporating into the classical approach to aggregate supply and aggregate demand, insights from Keynesian economics. This will serve as a base to discuss the role of macro policy in controlling for fluctuations in output and employment.
This module covers intermediate microeconomics including general equilibrium analysis; welfare economics; elementary game theory; and strategic behaviour of firms.
This module will provide a foundation for the monetary economics modules in the third year and is a complement to financial economics for the second and third years. It will cover topics such as the definitions and role of money, portfolio choice, financial markets and banks, central banks and monetary policy, and the monetary transmission mechanism.
Under these headings the module will address issues of theory, policy and practice relating to recent experience in the UK and other countries. The module will feature some current debates and controversies based on recent events.
This module is concerned with the effect of political and institutional factors on economic variables as well as with the study of politics using the techniques of economics.
The purpose of this module is to provide a thorough grounding in a broad range of techniques required in the analysis of probabilistic models, and to introduce stochastic processes by studying techniques and concepts common in the analysis of discrete time Markov Chains.
In this module you will develop your understanding of probability theory and random variables, with particular attention paid to continuous random variables. Fundamental concepts relating to probability will be discussed in detail, including limit theorems and the multivariate normal distribution. You will also meet some new statistical concepts and methods. The key concepts of inference including estimation and hypothesis testing will be described as well as practical data analysis and assessment of model adequacy.
This module looks at:
Most mathematical problems cannot be solved analytically or would take too long to solve by hand. Instead, computational algorithms must be used. In this module, you’ll learn about algorithms for approximating functions, derivatives, and integrals, and for solving many types of algebraic and ordinary differential equations.
In this module, you will be introduced to a wide range of statistical concepts and methods fundamental to applications of statistics, and meet the key concepts and theory of linear models, illustrating their application via practical examples drawn from real-life situations.
This is a guided research project, involving the application of techniques of economic analysis to a research topic that the student choses from a pre-selected set. For each potential research topic, guidance will also be provided on available data and key literature. Instruction on suitable economic research methods and practicalities will be provided.
Adopts a broad focus on factors influencing growth and development, concentrating on core economic policy areas and the role of international organisations, and on historical and geographical factors affecting development. Topics covered include: Economic policies, in particular the role of the IMF and the World Bank.Human development and the UN Sustainable Development Goals.Effects of aid on growth and poverty.Climate Change, poverty and conflict.Climate Change: adaptation and mitigation strategies.Trade policy and performance and the role of the WTO.Structural transformation and growthHistorical and geographical determinants of institutions and developmentRegional perspectives for East Asia, China and Africa.
This module generalises and builds upon the material covered in the year two modules, Econometric Theory I and II. In the first part of the module, we study large sample, or asymptotic, theory. This is needed in order to obtain tractable results about the behaviour of estimators and tests when the standard modelling assumptions - which frequently cannot be verified in practice - are relaxed.
The second part of the module continues the time series analysis taken in Econometric Theory II, with the emphasis on the behaviour of typical economic time series, and the implications of that behaviour in practical analysis, such as the construction of models linking economic time series. The key issues addressed will be the identification of non-stationarity through the construction of formal tests and the implications for modelling with non-stationary data.
The module adopts a chronological overview of human development and economic history from the ancient times to the 20th century. It focuses on deep rooted determinants of economic development. You’ll gain an understanding of the main themes present in the economic history debate, as well as the main methodologies employed in the field. By incorporating some of the most recent literature on the economic history of non-European countries, it provides a non-Eurocentric view of global economic growth in a historical perspective.
Topics covered include:
This module discusses aspects of some of the main sub-areas of experimental and behavioural economics. This includes applications related to individual decision-making, strategic behaviour and market behaviour.
The module encourages reflection on both the role of experiments in economics and the assumptions that economics does (and should) make about people’s motivations. Both experimental economics and behavioural economics are still comparatively new fields within the wider discipline.
The module considers their potential and main achievements, relative to more traditional economic techniques. It encourages development of critical skills and reflection on specific research contributions in experimental and behavioural economics.
This module covers:
This module provides an advanced economic analysis of the theory of organisation of firms and industries. It will analyse a variety of market structures related to the degree of market competition with a special emphasis on imperfectly competitive markets. It will also analyse issues related to the internal organisation of firms.
This module looks at:
This module covers an economic analysis of the labour market, with an emphasis on policy implications and institutional arrangements.
This module covers:
This module is intended to provide an introduction to mathematical techniques used in economics. In particular, examples of economic issues that can be analysed using mathematical models will be discussed in detail.
Particular attention will be given to providing an intuitive understanding of the logic behind the formal results presented.
This module will cover topics in advanced microeconomics and decision theory. The precise content may vary from year to year, but the module will start from the basis established by the Microeconomic Theory module.
This module provides a rigorous introduction to formal models of money in the macroeconomy. Following this, applications for areas of central banking, finance and international macroeconomics will be explored.
This module covers:
The module will introduce some major themes of the economic analysis of government. Using the tools of modern microeconomic theory, it will explore how government institutions are designed, how they could be designed better, and how they shape economic policy.
During this module you will build on your theoretical knowledge of statistical inference by a practical implementation of the generalised linear model. You will progress to enhance your understanding of statistical methodology including the analysis of discrete and survival data. You will also be trained in the use of a high-level statistical computer program.
This module provides an introduction to coding theory in particular to error-correcting codes and their uses and applications. You’ll learn cryptography, including classical mono- and polyalphabetic ciphers. There will also be a focus on modern public key cryptography and digital signatures, their uses and applications.
The aim of Discrete Mathematics is the study of discrete and finite rather than continuous quantities. This includes counting problems, graphs and other quantities parametrised by integers.
As such Discrete Mathematics is of great importance for various branches of Pure Mathematics, Mathematical Physics, Statistics and Computer Sciences.
The course will cover a range of Discrete Mathematics topics, including:
You can choose to undertake an independent research project, involving the application of techniques of economic analysis to a research topic of your choice. For this module, you’ll write an economics research paper. You’ll be supported with writing an undergraduate dissertation in economics.
Game theory contains many branches of mathematics (and computing); the emphasis here is primarily algorithmic. The module starts with an investigation into normal-form games, including strategic dominance, Nash equilibria, and the Prisoner’s Dilemma. We look at tree-searching, including alpha-beta pruning, the ‘killer’ heuristic and its relatives. It then turns to mathematical theory of games; exploring the connection between numbers and games, including Sprague-Grundy theory and the reduction of impartial games to Nim.
This module will provide an introduction to international monetary issues, including the determination of exchange rates and international spill-over effects.
You will explore the concepts of discrete time Markov chains to understand how they used. We will also provide an introduction to probabilistic and stochastic modelling of investment strategies, and for the pricing of financial derivatives in risky markets.
You will gain well-rounded knowledge of contemporary issues which are of importance in research and workplace applications.
This module involves the application of mathematics to a variety of practical, open-ended problems - typical of those that mathematicians encounter in industry and commerce.
Specific projects are tackled through workshops and student-led group activities. The real-life nature of the problems requires you to develop skills in model development and refinement, report writing and teamwork. There are various streams within the module, for example:
This ensures that you can work in the area that you find most interesting.
A metric space generalises the concept of distance familiar from Euclidean space. It provides a notion of continuity for functions between quite general spaces. The module covers:
Finally, Borel sets and measurable spaces are introduced.
This module is concerned with the analysis of multivariate data, in which the response is a vector of random variables rather than a single random variable. Key topics to be covered include:
This module covers the following:
Static numerical methods
Dynamic numerical optimisation
Agent-based economic modelling
In this module a variety of techniques of mathematical optimisation will be covered including Lagrangian methods for optimisation, simplex algorithm linear programming and dynamic programming.
These techniques have a wide range of applications to real world problems, in which a process or system needs to be made to perform optimally.
This module is concerned with the two main theories of statistical inference, namely classical (frequentist) inference and Bayesian inference.
You will explore the following topics in detail:
There is special emphasis on the exponential family of distributions, which includes many standard distributions such as the normal, Poisson, binomial and gamma.
This module will develop your knowledge of discrete-time Markov chains by applying them to a range of stochastic models. You will be introduced to Poisson and birth-and-death processes. You will then move onto more extensive studies of epidemic models and queuing models, with introductions to component and system reliability.
This module will provide a general introduction to the analysis of data that arise sequentially in time. Several commonly occurring models will be discussed and their properties derived. Methods for model identification for real time series data will be described. Techniques for estimating the parameters of a model, assessing its fit and forecasting future values will be developed. You will gain experience of using a statistical package and interpreting its output.
Our Language Centre offers many languages, and you may start as a beginner or at a more advanced level and you may be able to choose to study a language as part of this degree.
Learning another language can open career opportunities around the globe and enriches your CV. It could also help you in your studies by being able to access learning materials in other languages. If you are planning to travel or work abroad it will help you to broaden your cultural understanding.
Find out more about learning a language as part of your degree.
The above is a sample of the typical modules we offer, but is not intended to be construed or relied on as a definitive list of what might be available in any given year. This content was last updated on Tuesday 20 January 2026. Due to timetabling availability, there may be restrictions on some module combinations.
All candidates are considered on an individual basis and we accept a broad range of qualifications. The entrance requirements listed apply to 2026 entry.
A levels
A*AA-AAA
IB
34 points overall
A*AA including A* in mathematics
or
AAA including A in mathematics and further mathematics
or
AAA including A in mathematics, plus A in AS further mathematics
At least A level mathematics. Offer conditions will depend on whether applicants have A level or AS level further mathematics.
General studies, critical thinking, citizenship studies, thinking skills, global perspectives and research
English 4 (C) or equivalent
Tests such as STEP/MAT/TMUA are not factored into the offer-making process. However, they may be considered on the release of A level results.
34 points overall including HL6 Mathematics Analysis and Approaches
Alternatively Higher Level Certificates 666 including HL6 Mathematics Analysis and Approaches
We do not accept Higher Level Applications and Interpretations to meet the subject-specific requirement.
We recognise that applicants have a wealth of different experiences and follow a variety of pathways into higher education.
Consequently we treat all applicants with alternative qualifications (besides A levels and the International Baccalaureate) on an individual basis, and we gladly accept students with a whole range of less conventional qualifications including:
This list is not exhaustive. The entry requirements for alternative qualifications can be quite specific; for example you may need to take certain modules and achieve a specified grade in those modules. Please contact us to discuss the transferability of your qualification. Please see the alternative qualifications page for more information.
Access to HE Diploma 42 graded Level 3 credits at Distinction and 3 graded Level 3 credits at Merit, plus A level mathematics grade A*
We make contextual offers to students who may have experienced barriers that have restricted progress at school or college. Our standard contextual offer is usually one grade lower than the advertised entry requirements, and our enhanced contextual offer is usually two grades lower than the advertised entry requirements. To qualify for a contextual offer, you must have Home/UK fee status and meet specific criteria – check if you’re eligible.
If you are a Home applicant and do not meet the entry requirements for direct entry to this course, you may be interested in researching our Engineering and Physical Sciences foundation programme.
If you satisfy the progression requirements, you can progress to any of our mathematics courses.
Other foundation year programmes are considered individually, but you must have studied maths at an advanced level (A level standard).
At the University of Nottingham, we have a valuable community of mature students and we appreciate their contribution to the wider student population. You can find lots of useful information on the mature students webpage.
On this course, you can apply to study abroad at one of our partner institutions.
If you are successful in applying to study abroad, you will get the opportunity to broaden your horizons and enhance your CV by experiencing another culture. Teaching is typically in English, but there may be opportunities to study in another language if you are sufficiently fluent.
You can choose to study similar modules to your counterparts in the UK or expand your knowledge by taking other options.
The school you are joining may also have additional study abroad options available. Please visit the school website for more information.
In order to study abroad you will need to achieve the relevant academic requirements as set by the university and meet the selection criteria of both the university and the partner institution. The partner institution is under no obligation to accept you even if you do meet the relevant criteria.
If your course does not have a compulsory placement, integrated year in industry or compulsory year abroad where there is already an opportunity to undertake a work placement as part of that experience, you may be able to apply to undertake an optional placement year. While it is the student’s responsibility to find and secure a placement, our Careers and Employability Service will support you throughout this process. Contact placements@nottingham.ac.uk to find out more.
The school/faculty you are joining may also have additional placement opportunities. Please visit the school/faculty website for more information.
In order to undertake an optional placement year, you will need to achieve the relevant academic requirements as set by the university and meet any requirements specified by the placement host. There is no guarantee that you will be able to undertake an optional placement as part of your course.
Please be aware that study abroad, compulsory year abroad, optional placements/internships and integrated year in industry opportunities may change at any time for a number of reasons, including curriculum developments, changes to arrangements with partner universities or placement/industry hosts, travel restrictions or other circumstances outside of the university’s control. Every effort will be made to update this information as quickly as possible should a change occur.
This is the UK undergraduate tuition fee for the academic year 25/26. It may increase for the academic year 26/27 and we will update our information once we have received confirmation of the fee from the UK Government.
For full details including fees for part-time students and reduced fees during your time studying abroad or on placement (where applicable), see our fees page.
As a student on this course, you should factor some additional costs into your budget, alongside your tuition fees and living expenses.
You should be able to access most of the books you’ll need through our libraries, though you may wish to purchase your own copies.
Due to our commitment to sustainability, we don’t print lecture notes but these are available digitally.
If you study abroad, you need to consider the travel and living costs associated with your country of choice. This may include visa costs and medical insurance.
To support your studies, the university recommends you have a suitable laptop to work on when on or off campus. If you already have a device, it is unlikely you will need a new one in the short term. If you are looking into buying a new device, we recommend you buy a Windows laptop, as it is more flexible and many software packages you will need are only compatible with Windows.
Although you won’t need a very powerful computer, it is wise to choose one that will last. The university has prepared a set of recommended specifications to help you choose a suitable laptop.
If you are experiencing financial difficulties and you are struggling to manage your costs, the Hardship funds may be able to assist you.
The University of Nottingham offers a wide range of bursaries and scholarships. These funds can provide you with an additional source of non-repayable financial help. For up to date information regarding tuition fees, visit our fees and finance pages.
Over one third of our UK students receive our means-tested core bursary, worth up to £1,000 a year. Full details can be found on our financial support pages.
A 'home' student is one who meets certain UK residence criteria. These are the same criteria as apply to eligibility for home funding from Student Finance.
All candidates are considered on an individual basis and we accept a broad range of qualifications. The entrance requirements listed apply to 2026 entry.
IB
34 points overall
A levels
A*AA-AAA
34 points overall including HL6 Mathematics Analysis and Approaches
Alternatively Higher Level Certificates 666 including HL6 Mathematics Analysis and Approaches
We do not accept Higher Level Applications and Interpretations to meet the subject-specific requirement.
A*AA including A* in mathematics
or
AAA including A in mathematics and further mathematics
or
AAA including A in mathematics, plus A in AS further mathematics
At least A level mathematics. Offer conditions will depend on whether applicants have A level or AS level further mathematics.
General studies, critical thinking, citizenship studies, thinking skills, global perspectives and research
English 4 (C) or equivalent
Tests such as STEP/MAT/TMUA are not factored into the offer-making process. However, they may be considered on the release of A level results.
We recognise that applicants have a wealth of different experiences and follow a variety of pathways into higher education.
Consequently we treat all applicants with alternative qualifications (besides A levels and the International Baccalaureate) on an individual basis, and we gladly accept students with a whole range of less conventional qualifications including:
This list is not exhaustive. The entry requirements for alternative qualifications can be quite specific; for example you may need to take certain modules and achieve a specified grade in those modules. Please contact us to discuss the transferability of your qualification. Please see the alternative qualifications page for more information.
Access to HE Diploma 42 graded Level 3 credits at Distinction and 3 graded Level 3 credits at Merit, plus A level mathematics grade A*
6.5 (no less than 6.0 in any element)
As well as IELTS (listed above), we also accept other English language qualifications. This includes TOEFL iBT, Pearson PTE, GCSE, IB and O level English. Check our English language policies and equivalencies for further details.
For presessional English or one-year foundation courses, you must take IELTS for UKVI to meet visa regulations.
If you need support to meet the required level, you may be able to attend a Presessional English for Academic Purposes (PEAP) course. Our Centre for English Language Education is accredited by the British Council for the teaching of English in the UK.
If you successfully complete your presessional course to the required level, you can then progress to your degree course. This means that you won't need to retake IELTS or equivalent.
Check our country-specific information for guidance on qualifications from your country.
International students must have valid UK immigration permissions for any courses or study period where teaching takes place in the UK. Student route visas can be issued for eligible students studying full-time courses. The University of Nottingham does not sponsor a student visa for students studying part-time courses. The Standard Visitor visa route is not appropriate in all cases. Please contact the university’s Visa and Immigration team if you need advice about your visa options.
If you are an International applicant who does not have the required qualifications or grades for direct entry to this course, you may be interested in the Science and Engineering Foundation Certificate delivered through the University of Nottingham International College.
If you satisfy the progression requirements, you can progress to any of our mathematics courses.
Other foundation year programmes are considered individually, but you must have studied maths at an advanced level (A level standard).
At the University of Nottingham, we have a valuable community of mature students and we appreciate their contribution to the wider student population. You can find lots of useful information on the mature students webpage.
On this course, you can apply to study abroad at one of our partner institutions.
If you are successful in applying to study abroad, you will get the opportunity to broaden your horizons and enhance your CV by experiencing another culture. Teaching is typically in English, but there may be opportunities to study in another language if you are sufficiently fluent.
You can choose to study similar modules to your counterparts in the UK or expand your knowledge by taking other options.
The school you are joining may also have additional study abroad options available. Please visit the school website for more information.
In order to study abroad you will need to achieve the relevant academic requirements as set by the university and meet the selection criteria of both the university and the partner institution. The partner institution is under no obligation to accept you even if you do meet the relevant criteria.
If your course does not have a compulsory placement, integrated year in industry or compulsory year abroad where there is already an opportunity to undertake a work placement as part of that experience, you may be able to apply to undertake an optional placement year. While it is the student’s responsibility to find and secure a placement, our Careers and Employability Service will support you throughout this process. Contact placements@nottingham.ac.uk to find out more.
The school/faculty you are joining may also have additional placement opportunities. Please visit the school/faculty website for more information.
In order to undertake an optional placement year, you will need to achieve the relevant academic requirements as set by the university and meet any requirements specified by the placement host. There is no guarantee that you will be able to undertake an optional placement as part of your course.
Please be aware that study abroad, compulsory year abroad, optional placements/internships and integrated year in industry opportunities may change at any time for a number of reasons, including curriculum developments, changes to arrangements with partner universities or placement/industry hosts, travel restrictions or other circumstances outside of the university’s control. Every effort will be made to update this information as quickly as possible should a change occur.
If you are a student from the EU, EEA or Switzerland, you may be asked to complete a fee status questionnaire and your answers will be assessed using guidance issued by the UK Council for International Student Affairs (UKCISA).
For full details including fees for part-time students and reduced fees during your time studying abroad or on placement (where applicable), see our fees page.
As a student on this course, you should factor some additional costs into your budget, alongside your tuition fees and living expenses.
You should be able to access most of the books you’ll need through our libraries, though you may wish to purchase your own copies.
Due to our commitment to sustainability, we don’t print lecture notes but these are available digitally.
If you study abroad, you need to consider the travel and living costs associated with your country of choice. This may include visa costs and medical insurance.
To support your studies, the university recommends you have a suitable laptop to work on when on or off campus. If you already have a device, it is unlikely you will need a new one in the short term. If you are looking into buying a new device, we recommend you buy a Windows laptop, as it is more flexible and many software packages you will need are only compatible with Windows.
Although you won’t need a very powerful computer, it is wise to choose one that will last. The university has prepared a set of recommended specifications to help you choose a suitable laptop.
If you are experiencing financial difficulties and you are struggling to manage your costs, the Hardship funds may be able to assist you.
The University of Nottingham offers a wide range of bursaries and scholarships. These funds can provide you with an additional source of non-repayable financial help. For up to date information regarding tuition fees, visit our fees and finance pages.
We offer a range of international undergraduate scholarships for high-achieving international scholars who can put their Nottingham degree to great use in their careers.
We offer an international orientation scholarship of £1,000 to the best international (full-time, non EU) applicants on this course.
It will be paid at most once for each year of study. If you repeat a year for any reason, the scholarship will not be paid for that repeated year. The scholarship is awarded in subsequent years to students who perform well academically (at the level of a 2:1 Hons degree or better at the first attempt).
The scholarship will be paid in December each year provided you have:
The course stood out to me due to the teaching methods. There is a lot of support available and many ways to consolidate and revise previous learning. Even without having studied further maths, I feel like everyone gets to an equal footing quite quickly."
Alexander Kitsis
BSc Mathematics and Economics
Maths and economics are broad and versatile subjects leading to many possible careers. Skilled individuals are found in a variety of organisations, in lots of different sectors.
Our graduates are helping to shape the future in many sectors including data analysis, finance and IT. Many work in science, engineering or consultancy, others pursue careers within government departments. Some graduates choose a career in mathematical research.
The knowledge and skills that you will gain during this degree, can typically lead to roles working as:
Read our alumni profiles for the sort of jobs our graduates go on to do.
Graduate destinations include:
Each year some students choose to stay at Nottingham and join our lively group of postgraduate research students.
The average starting salary for BSc Mathematics and Economics undergraduates within 15 months of graduation was £37,758 (HESA Graduate Outcomes 2021/22-2022/23).
Studying for a degree at the University of Nottingham will provide you with the type of skills and experiences that will prove invaluable in any career, whichever direction you decide to take.
Throughout your time with us, our Careers and Employability Service can work with you to improve your employability skills even further; assisting with job or course applications, searching for appropriate work experience placements and hosting events to bring you closer to a wide range of prospective employers.
Have a look at our careers page for an overview of all the employability support and opportunities that we provide to current students.
The University of Nottingham is consistently named as one of the most targeted universities by Britain's leading graduate employers (Ranked in the top 10 in The Graduate Market in 2013-2024, High Fliers Research).
This programme will meet the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications, when it is followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency (QAA) for taught masters degrees.
From financial support to student life and accommodation, discover more about the Nottingham experience.
At University Park, nature, architecture and student life come together on one unforgettable campus. Explore beautiful green spaces, unwind by the lake and enjoy a vibrant sense of community. It’s the perfect setting for an extraordinary university experience where you can learn, grow and thrive.
Head to our Help and Support hub for frequently asked questions and details of how to get in touch.
