Mathematics and Management BSc

   
   
  

Fact file - 2017 entry

UCAS code:GN12
Qualification:BSc Jt Hons
Type and duration:3 year UG
Qualification name:Mathematics and Management
UCAS code
UCAS code
GN12
Qualification
Mathematics and Management | BSc Jt Hons
Duration
3 years full-time
A level offer
A*AA/AAA/A*AB
Required subjects
Three A levels, or equivalent, including mathematics at grade A. 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 citizenship studies, critical thinking and general studies are not accepted
IB score
36 (including 6 in maths at Higher Level)
Course location
University Park Campus 
Course places
250 for all mathematics courses
School/department
 

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.
Read full overview

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. You will receive a broad and thorough education in mathematics, integrated with the study of the theory and practice of business management and entrepreneurship. 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 a 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

or

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 with modules in Analytical and Computational Foundations, Calculus and Linear Mathematics, as well as modules in Probability and Statistics. The remaining third of the first year is devoted to topics in management studies such as Entrepreneurship and Business or Contemporary Economic Policy.

Year two

Half of the year is devoted to mathematics, consisting of optional modules chosen from a large selection. The other half of the year consists of four compulsory Business School modules and two options from a wide selection.

Year three

As for year two, your time will be equally divided between both disciplines with all mathematics modules being optional. In management studies, there are four compulsory modules and two options offered by the Business School.

More information 

See also the Nottingham University Business School.

 

Entry requirements

A levels: A*AA/AAA/A*AB, including mathematics at grade A. 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)

Students who require extra support to meet the English language requirements for their academic course can attend a presessional course at the Centre for English Language Education (CELE) to prepare for their future studies. Students who pass at the required level can progress directly to their academic programme without needing to retake IELTS. Please visit the CELE webpages for more information.

Alternative qualifications 

For details see our alternative qualifications page

Flexible admissions policy

We may make some applicants an offer lower than advertised, depending on their personal and educational circumstances.

Foundation courses

We also accept students who have passed the Engineering and Physical Sciences Foundation Certificate.

 
 

Modules

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. You will have a two hours of lectures per week combined with computer workshops, problem classes and tutorial support.

 
Calculus

In this module, you will begin by practising the basic concepts and methods of calculus including limits, functions, continuity, Taylor series, and Laplace transforms. 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. You will spend two hours in lectures per week combined with problem classes and tutorial support.

 
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 through two hours of lectures per week combined with problem classes and tutorial support.

 
Probability

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. You will spend two hours in lectures per week. 

 
Statistics

This module offers you the chance to learn about a range of statistical ideas and skills. In addition, concepts and techniques for modelling and practical data analysis skills will be taught. You will learn to write reports based on these topics which will help you in further studies. You will have a combination of lectures, problem classes and workshops totalling around four hours per week.

 
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. You will have 10 two-hour lectures and four one-hour tutorials.
 
Entrepreneurship and Business
Through a series of 11 two-hour lectures, this module presents a formal analysis of entrepreneurship in theory and practice leading on to a consideration of creativity and business concept generation. The course concludes with the practical application of these theories and concepts in business planning and business concept presentation.
 
Organisational Behaviour
This module will introduce you to 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. You will have 11 two-hour lectures and a one hour tutorial across the semester.
 
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 environmentas for marketing and consumption with particular attention to globalisation, innovation (including the transformative force of new technologies), and ethical and sustainability issues. You will have 11 two-hour lectures and two one-hour tutorials.
 
 

Typical Year Two Modules

Introduction to Numerical Methods

In this year-long module you will be introduced to basic techniques in numerical methods and numerical analysis. You will build upon your core year one modules to generate approximate solutions to problems that may not be easy to analyse on paper. There will be a wide range of topics including: iterative methods for nonlinear equations, discussion of errors (including rounding errors), polynomial interpolation and orthogonal polynomials among others. You will spend two hours per week in lectures and one hour per week in computer labs.

 
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. For this module you will spend three hours per week in lectures and workshops.

 
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. You will have a combination of lectures, example and problem classes each week.

 
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. You will have 10 two-hour lectures and three one-hour tutorials each week.
 
Organising and Managing in Practice
This module will explore some of the key issues that arise when attempting to manage employees at work. It will develop understanding of the impact of management policies and behaviours on employee attitudes and behaviours. This will help you to appreciate how your activities as managers will affect organisational performance. You will be required to have 11 one-hour lectures and four two-hour tutorials to cover material for this module. 
 
Strategic Management: Content and Analysis
This module examines the different approaches to -and techniques of- stragetic management, including analysis of the external and internal environments, the nature of competitive advantage and the development of the firm. You will have 11 90-minute lectures and two one-hour seminars.
 
Corporate Entrepreneurship and Innovation Management
This module develops an understanding of corporate entrepreneurship (CE) and an appreciation of how larger firms can be designed to be more entrepreneurial, flexible and innovative. You will have 11 90-minute lectures and two one-hour seminars each week. 
 
Economics of Innovation
In this module you will cover topics including: 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, demand and consumption, clusters, innovation and the division of labour, innovation, competitiveness and trade and policy for Innovation. You will have 11 90-minute lectures and two 60-minute tutorials per semester.
 
Introduction to Finance
This module will introduce the basic concepts of corporate and personal finance. You will explore topics such as the value of money, shares and bonds, financial risk and returns and the elements of investment among others. You will have 90-minutes of lectures per week plus two one-hour workshops to assist your learning.
 
Marketing Management
This module focuses on the management of marketing with reference to the ways in which organisations compete with different product-market offers.  Particular attention is paid to the processes involved in the development of a marketing strategy and to the ways in which such strategies evolve and are managed.
 
 

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. You will have two hours of lectures each week.

 
Game Theory

In this module you will 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. You will spend two hours per week in lectures.

 
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. For this module there will be a combination of lectures, example and problem classes for around four hours each week.

 
Statistical Inference

In this module you will explore two main concepts of statistical inference; classical (frequentist) and Bayesian. Topics include: sufficiency, estimating equations, likelihood ratio tests and best-unbiased estimators. You will gain knowledge of the theory and concepts underpinning contemporary research in statistical inference and methodology. For this module there will be a combination of lectures, example and problem classes for around four hours each week.

 
Stochastic Models

In this module you will develop your knowledge of discrete-time Markov chains by applying them to a range of stochastic models for use in natural sciences and scientific industries. 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. For this module there will be a combination of lectures, example and problem classes for around three hours each week.

 
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.
 
Contemporary Developments in Human Resource Management and Organisations
This module introduces you to key contemporary debates and practices, giving you a chance to engage with them. You will gain an understanding of the human resource management approaches managers take as they grapple with the challenges of the global economy and a demanding, diverse workforce within an international context. You'll have 11 90-minute lectures and one two-hour seminar for this module.
 
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 issues, impacts of business on individual stakeholder groups and analyse business ethics and social responsibility in relation to each group. You will have 11 one-hour lectures and four one-hour seminars per week for this module.
 
Corporate Finance
This module will develop your knowledge of financial decision-making and strategic financial decisions, including takeovers and mergers. You will have eleven one-hour lectures and two two-hour seminars per semester.
 
Economics of Regulation
Covering the two broad areas of regulation and competition policy, topics studied include: natural monopoly regulation, retail price control, access pricing, universal service obligations, public policy on inter-firm agreements and restrictive practices, abuse of monopoly power and merger control. You will have eleven one-hour lectures and two two-hour seminars per week.
 
Logistics and Supply Chain Management
The module provides an introduction to logistics and supply chain management (LSCM) within the international context. The module examines: how LSCM strategies contribute to businesses' competitive advantage; the relationship aspects between business partners in delighting end-customers; and supporting operational activities and the international transport of goods. The module is taught by reference to academic literature and management practice, including case-studies and application to special topics such as humanitarian logistics and international trade. You will have 11 60-hour lectures and two one-hour seminars each week.
 
Risk Management Processes
This module will discuss the processes utilised by corporate enterprises to manage the risk of fortuitous loss. Once corporate risks have been identified and their impact on the firm measured, risk management attempts to control the size and frequency of loss, and to finance those fortuitous losses. You will have 11 90-minute lectures plus two one-hour seminars per week.
 
Technology Entrepreurship in Practice 
This module will introduce you to the importance of, and the processes involved in the commercialisation of science and technology. The content of the course is highly relevant in the current climate where Government is placing much evidence on the wealth creation process. You will have 11 90-minute lectures plus two one-hour tutorials per week. 
 
 

 

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. This list is an example of typical modules we offer, not a definitive list.

 
 

Careers

The school has a specialised careers programme to help you develop your CV and start planning for your future career. 

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 one of a small number of leading universities whose graduates are targeted for recruitment by various 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

royal-statistical-society

This course is recognised by the Royal Statistical Society and the Institute and Faculty of Actuaries

Average starting salary and career progression

In 2014, 93% 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 £24,387 with the highest being £50,000.*

* Known destinations of full-time home and EU first-degree graduates, 2013/14.

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.  

 
 

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.

Home students*

There are several types of bursary and scholarship on offer. Download our funding guide or visit our financial support pages to find out more about tuition fees, loans, budgeting and sources of funding.

To be eligible to apply for most of these funds you must be liable for the £9,000 tuition fee and not be in receipt of a bursary from outside the University.

* 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


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.

 

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Disclaimer
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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