Mathematics and Management BSc


Fact file - 2018 entry

Mathematics and Management | BSc Jt Hons
UCAS code
3 years full-time
A level offer
Required subjects
A*AA/AAA/A*AB; including at least A in mathematics. Required grades depend on whether further mathematics is offered.
IB score
36 (including 6 in maths at Higher Level)
Course location
University Park Campus 
Course places
250 across all mathematics courses


This course will provide you with a thorough education in mathematics, integrated with the study of the theory and practice of business management and entrepreneurship.
Read full overview

This course will provide you with a thorough education in mathematics, integrated with the study of the theory and practice of business management and entrepreneurship.

The ability to reason quantitatively and logically lies at the heart of many management decisions. This BSc course is designed to equip you with the skills needed to succeed in a wide range of business and management careers. No previous knowledge of management or business studies is assumed.

International Student Satisfaction Awards

Second place ranking 

Nottingham enters the league table at number two in the International Student Satisfaction Awards 2014 and is one of only five UK universities to receive a rating of ‘outstanding’. The rankings are compiled by StudyPortals, an independent study choice platform covering more than 1400 universities in 40 European countries.

Royal Statistical Society (RSS)

Specific pathways within this course are accredited by the Royal Statistical Society (RSS) as being of the appropriate breadth and depth to provide a foundation for a career as a professional statistician. Successful completion of these pathways (achieving second class honours or better) automatically qualifies you for the RSS Graduate Statistician (GradStat) award. This award is a stepping stone to full professional membership of the RSS and the Chartered Statistician (CStat) award. More details can be found on the Royal Statistical Society website.

Institute and Faculty of Actuaries

The School has an agreement with the Institute and Faculty of Actuaries, under which students who obtain an average of more than 60% in any of the following combinations of modules will gain exemption from subject CT3 Probability and Mathematical Statistics. This applies to all of the undergraduate courses offered by the School of Mathematical Sciences, including Natural Sciences. 

G11PRB Probability 
G11STA Statistics 
G12PMM Probability Models and Methods 


G11PRB Probability 
G12SMM Statistical Models and Methods 
G12PMM Probability Models and Methods

Year one

Two thirds of the first year is devoted to mathematics. You will study core mathematics under the three headings of Calculus, Linear Mathematics and Analytical and Computational Foundations, as well as probability and statistics.

You will benefit from our peer-assisted study support (PASS) scheme, designed specifically to help you settle in. PASS Leaders, who are current maths students, will provide you with a friendly face at the start of your first year and then academic support during that year, through regular PASS sessions.

The remaining third of the first year is devoted to modules in management studies such as Entrepreneurship and Business or Consumers and Markets.

Year two

Your time in the second year is equally split between mathematics and management, and there is a wide range of modules to choose from.

Year three

As for year two, your time is equally divided between both disciplines with a wide range of optional modules in mathematics and management.

More information 

See also the Nottingham University Business School.


Entry requirements

A levels: A*AA/AAA/A*AB at A level including A level mathematics at grade A*/A (or equivalent). Applicants may be asked for one of: A* in A level mathematics, A in A level further mathematics or A in AS level further mathematics. STEP is not required but may be taken into consideration when offered.

A levels in general studies, critical thinking and citizenship studies are not accepted.

IB: 36 overall, including 6 in mathematics at Higher Level. 

English language requirements 

IELTS 6.5 (no less than 6.0 in any element)

If you require additional support to take your language skills to the required level, you can attend a presessional course at the Centre for English Language Education (CELE), which is accredited by the British Council for the teaching of English. Successful students can progress onto their chosen degree course without taking IELTS again.

Alternative qualifications 

For details see our alternative qualifications page

Flexible admissions policy

In recognition of our applicants’ varied experience and educational pathways, The University of Nottingham employs a flexible admissions policy. We may make some applicants an offer lower than advertised, depending on their personal and educational circumstances. Please see the University’s admissions policies and procedures for more information.

Foundation courses

We also accept students who have achieved appropriate grades in the Engineering and Physical Sciences Foundation Certificate.



Typical year one modules

Analytical and Computational Foundations

This module will introduce you to three core concepts and techniques that underpin all maths modules in your degree. These are mathematical reasoning (the language of maths and providing concrete proof of mathematical theorems), an introduction to the computer package MATLAB (its use and application), and basic analysis methods.


In this module, you will begin by practising the basic concepts and methods of calculus including limits, functions, and continuity. In the second semester you will move onto more advanced usage of calculus. Topics will be based around the calculus of functions of several variables and include partial derivatives, chain rules, the vector operator grad, Lagrange multipliers and multiple integrals.

Linear Mathematics

This module introduces you to the methods and practices of linear mathematics that you will need in subsequent modules on your course, such as complex numbers, vector algebra and matrix algebra. You will then expand your knowledge to include vector spaces, linear transformations and inner product spaces.


This module provides an introduction to probability by developing a framework for the logic of uncertainty. Random variables and the topics surrounding them will also be introduced.


In this module you will learn about a range of statistical ideas and skills, along with concepts and techniques for modelling and practical data analysis, and how to write reports based on these topics which will help you in further studies.

Business Economics
This module will introduce you to microeconomic theory of the market and the firm. Topics covered include: market demand; supply and equilibrium; firm production and costs; market structure; perfect competition; monopolistic competition; oligopoly; monopoly; consumer theory and market failure.
Entrepreneurship and Business

This module presents a formal analysis of entrepreneurship in theory and practice leading on to a consideration of creativity and business concept generation. It concludes with the practical application of these theories and concepts in business planning and business concept presentation.

Organisational Behaviour
This module covers the basic ideas of organisational behaviour. The content will encourage you to develop an understanding of managing and developing people within business organisations. The module will draw its primary material from the major theorists and theories of both organisational psychology and organisational behaviour. The module will also develop links with other aspects of the business school curriculum such as general management and international business.
Consumers and Markets
This module will cover the ways in which marketing and consumption drive business and shape society. It will provide a historical perspective and consider marketing professions and leadership within organisational contexts. It will also examine contemporary environments for marketing and consumption with particular attention to globalisation, innovation (including the transformative force of new technologies), and ethical and sustainability issues. 

Typical year two modules

Introduction to Scientific Computation

In this module you’ll be introduced to basic techniques in numerical methods and numerical analysis. You’ll build upon your core year one modules to generate approximate solutions to problems that may not be easy to analyse. There’ll be a wide range of topics such as iterative methods for nonlinear equations, rounding and truncation errors, polynomial interpolation and orthogonal polynomials.

Probability Models and Methods

This module will give you an introduction to the theory of probability and random variables, with particular attention paid to continuous random variables. Fundamental concepts relating to probability will be discussed in detail, including well-known limit theorems and the multivariate normal distribution. You will then progress onto complex topics such as transition matrices, one-dimensional random walks and absorption probabilities.

Statistical Models and Methods

The first part of this module provides an introduction to statistical concepts and methods and the second introduces a wide range of techniques used in a variety of quantitative subjects. The key concepts of inference including estimation and hypothesis testing will be described as well as practical data analysis and assessment of model adequacy.

Contemporary Economic Policy
This module introduces you to the nature and scope of the macroeconomic policy agenda, and develops the analytical frameworks necessary for the evaluation of policy instruments. The module enables you to understand the economic arguments that under-lie different views and to evaluate relevant arguments.
Human Resource Management

The module looks at theories of HRM, recruitment and selection, reward, training and development, performance appraisal and broader contextual issues.

Strategic Management: Content and Analysis

To aid the formulation of effective strategies, this module will introduce and analyse the fundamental tools and techniques of strategic management. Content will include:

  • the concept of strategy
  • environmental analysis (including the Five Forces framework, strategic groups, and scenario planning)
  • internal resources and competencies (including the resource-based view, core competencies, and dynamic capabilities)
  • positioning strategies (including Porter's Generic Strategies, Value Chain, and Blue Ocean Strategy)
  • corporate strategy and diversification (including portfolio matrices and Rumelt's diversification types)
  • the alignment of strategy and structure
  • growth methods, including M&A and strategic alliances
Technology and Organisation

This module considers several of the transformations that have arisen in contemporary organisations as a result of the use of information systems. Topics include different ways to understand the relationship between technology and organisation and implications of technology for knowledge management and other management areas.

Economics of Innovation

In this module, you will cover:

  • innovation in the history of economic thought
  • basic concepts in the economics of innovation
  • intellectual property
  • economics of networks
  • standards and dominant designs
  • the entrepreneur
  • innovation, demand and consumption
  • clusters
  • innovation and the division of labour
  • innovation, competitiveness and trade
  • innovation, growth and wealth creation
  • policy for innovation
Introductory Econometrics

This module will provide an introduction to the theory and practice of quantitative economic modelling at a basic level. The theoretical framework will be developed around the classical regression model and its extensions, with theoretical understanding being supplemented with computer-based practical examples of modelling and data analysis. 

Marketing Management

This module is designed to focus on the strategic and operational aspects of marketing management. It will examine:

  • understanding the marketing concept
  • the role of marketing within business and its contribution to business performance and enhancing value
  • developing marketing strategy
  • segmentation, targeting and positioning
  • managing the marketing mix
  • planning and implementation

Typical year three modules

Coding and Cryptography

In this module you will be introduced to two main topics of coding theory; error-correction codes and cryptography. Within these topics you will learn the main concepts, theorems and techniques and practise applying these with specific example.

Game Theory

This module enables you to explore the connection between numbers and games and how games can be analysed. You will learn about the algorithms of gaming, stemming from many areas of mathematics and computing. You will be able to use the mathematical knowledge you have gained so far on the course to analyse various situations in a logical manner, practising strategic decision-making.

Mathematical Finance

In this module the concepts of discrete time Markov chains are explored and used to provide an introduction to probabilistic and stochastic modelling for 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 applications.

Statistical Inference

In this module you will explore two main concepts of statistical inference; classical (frequentist) and Bayesian. Topics such as sufficiency, estimating equations, likelihood ratio tests and best-unbiased estimators will be discussed in detail. You will gain knowledge of the theory and concepts underpinning contemporary research in statistical inference and methodology.

Stochastic Models

In this module you 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 and then you will move onto more extensive studies of epidemic models and queuing models with introductions to component and system reliability.

Topics in Statistics 

In this module you will build your knowledge from previous modules by covering three main topics relating to statistics, sequential analysis, multivariate analysis and designed experiments. The skills you build will be of relevance to a professional statistician. You will have four hour lectures each week.

Time Series Analysis
This module will provide a general introduction to the analysis of data that arise sequentially in time. Several commonly occuring models will be discussed and their properties derived, along with methods for model identification for real time series data. You will develop techniques for estimating the parameters of a model, assessing its fit and forecasting future values. You will also gain experience of using a statistical package and interpreting its output.
Strategic Management: Process and Practice
This module examines the managerial and organisational factors that influence the formation and subsequent realisation of strategy. The module enables you to develop skills in the analysis of strategic processes, with particular reference to the role of leadership, change, learning, and power strategy.
Business Ethics
This module explores business-society relations through the theories and practices of business ethics and social responsibility. The module will consist of two parts. The first part will address the concept of business ethics, a discussion of citizenship theory and the challenges of globalisation and sustainability. The second will address the impacts of business on individual stakeholder groups and analyse business ethics and social responsibility in relation to each group.
Exploring Perspectives in Entrepreneurship

The module aims to develop a comprehensive understanding of the concept of entrepreneurship and what entrepreneurial activity involves.

It is designed to:

  • examine the different theoretical perspectives used to explore the nature of entrepreneurship and entrepreneurs
  • broaden your appreciation of how and why entrepreneurial activity takes place
  • provide a critical viewpoint on how the process of entrepreneurship unfolds
  • consider how context shapes entrepreneurial activity
International Business

Topic covered include:

  • environment
  • theory of multinational enterprises
  • entry strategies
  • international leadership
  • operating in international markets
Applied Econometrics

The module will provide an introduction to econometric techniques for modelling data. Topics to be covered include:

  • panel data modelling (difference-in-difference models; regression discontinuity designs; experiments)
  • qualitative response models
  • time series models
Financial Economics

This module presents an introduction to financial economics focusing on topics such as: the determination of interest rates; the role of financial institutions in the financial and monetary system; banking regulation and risk management in banks. 

Technology Entrepreurship in Practice 

This module aims to provide you with the skills, knowledge and practical experience required to respond to the challenges involved in managing, commercialising and marketing technological innovation and new business development. It will introduce the process of commercialising for science and technology. Commercialisation deals with developing intellectual property within the science and technology domain to a point where it is ready to enter the market; an increasingly important activity where Government and business is placing much importance on the wealth creation.



The modules we offer are inspired by the research interests of our staff and as a result may change for reasons of, for example, research developments or legislation changes. The above list is a sample of typical modules we offer, not a definitive list.



Mathematics is a wide-ranging and versatile subject and the list of careers open to you as a mathematics graduate is extensive. Some graduates make specific use of mathematics while others use the more general skills they have gained, such as analysis and problem solving, high-level numeracy and a capacity to learn independently.

Our graduates are in high demand from prospective employers and have been well received into a broad range of careers in commerce, industry, the professions and government. The University of Nottingham is invariably one of the leading UK universities in terms of our graduates being targeted for recruitment by top companies. Our graduates have been well received in a broad spectrum of careers which include:

  • commerce
  • engineering
  • financial services
  • government
  • industry
  • information technology
  • science

Postgraduate research

Rather than directly entering the employment market upon graduating, you might decide to continue your studies at higher-degree level. Postgraduate areas of study include:

  • business studies
  • computer science
  • education
  • engineering
  • finance
  • mathematics
  • statistics

Each year some of our best students choose to stay at Nottingham and join our lively group of postgraduate research students in the School of Mathematical Sciences.

The research groups within the school each offer a large number of diverse and interesting projects, across the specialisations of pure mathematics, applied mathematics and statistics.

Professional recognition


This course is recognised by the Royal Statistical Society

In order to be eligible for the RSS accreditation, students must take at least 100 credits in Parts I & II at level 2 or above, including at least 60 credits at level 3 or above in Statistics modules.

Average starting salary and career progression

In 2015, 91% of first-degree graduates in the School of Mathematical Sciences who were available for employment had secured work or further study within six months of graduation. The average starting salary was £23,996 with the highest being £40,000.*

* Known destinations of full-time home and EU first-degree graduates, 2014/15. Salaries are calculated based on those in full-time paid employment within the UK.

Careers support and advice

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 the best university in the UK for graduate employment, according to the 2017 The Times and The Sunday Times Good University Guide.



Fees and funding

Scholarships and bursaries

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.

Home students*

Over one third of our UK students receive our means-tested core bursary, worth up to £2,000 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.

International/EU students

Our International Baccalaureate Diploma Excellence Scholarship is available for select students paying overseas fees who achieve 40 points or above in the International Baccalaureate Diploma. We also offer a range of High Achiever Prizes for students from selected countries, schools and colleges to help with the cost of tuition fees. Find out more about scholarships, fees and finance for international students.

International Orientation Scholarship

The International Orientation Scholarship is awarded to the best international (full-time, non EU) applicants to the school's courses. 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). 

Students on the BSc Mathematics and Management Studies degree course in the School of Mathematical Sciences receive £1,000. Please note that the scholarship will be paid once for each year of study, so if you repeat a year for any reason, the scholarship will not be paid for that repeated year.

The scholarship will be paid by cheque in December each year, provided you have registered with the university and the school, are on a relevant course on the 1 December census and have paid the first instalment of your fee.

International Office

The University of Nottingham provides information and advice on financing your degree and managing your finances as an international student. The International Office offers a range of High Achiever Prizes for students from selected schools and colleges to help with the cost of tuition fees.  

Key Information Sets (KIS)

Key Information Sets (KIS)

KIS is an initiative that the government has introduced to allow you to compare different courses and universities.


How to use the data

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.


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