Programme Specification
Mathematics UG Programmes
Academic Year: 2013/14
This specification provides a concise summary of the main features of the programme and the learning outcomes that a typical student might reasonably be expected to achieve and demonstrate if full advantage is taken of the learning opportunities that are provided.
This specification applies to delivery of the programme in the Academic Year indicated above. Prospective students reviewing this information for a later year of study should be aware that these details are subject to change as outlined in our Terms and Conditions of Study.
This specification should be read in conjunction with:
 Reg. XX (Undergraduate Awards) (see University Regulations)
 Module Specifications
 Summary
 Aims
 Learning outcomes
 Structure
 Progression & weighting
Programme summary
Awarding body/institution  Loughborough University 
Teaching institution (if different)  
Owning school/department  Department of Mathematical Sciences 
Details of accreditation by a professional/statutory body  
Final award  MMath and BSc 
Programme title  Mathematics; Mathematics with Economics; Financial Mathematics; Mathematics and Management; Mathematics, Accounting and Financial Management; Mathematics and Sport Science; Mathematics with Mathematics Education; Mathematics with Statistics 
Programme code  See Programme Structure 
Length of programme  
UCAS code  
Admissions criteria  http://www.lboro.ac.uk/departments/maths/undergraduate/courses/ 
Date at which the programme specification was published  Wed, 04 Dec 2013 09:27:16 GMT 
1. Programme Aims

Math BSc 
Math MMath 
M w Ec 
FM 
M & Man 
MAFM 
M & SS 
M w MEd 
M w Stats 
To provide students with an environment which enables them to fulfil their potential by providing access to appropriate opportunities, support and educational experiences 
x 
x 
x 
x 
x 
x 



To equip students with certain general skills and thus help prepare them for future employment. 
x 
x 
x 
x 
x 
x 


x 
To provide a sound mathematically based intellectual education appropriate to the needs of a modern society. 
x 
x 


x 
x 



To deliver a stimulating undergraduate curriculum which provides a solid foundation in core areas of mathematics and allows students to meet their own aspirations, interests and educational needs through module selection. 
x 
x 







To introduce students to concepts and techniques in modern applied mathematics. 

x 







To provide students with a solid foundation for PhD programmes in this and other university mathematics departments. 

x 







To deliver a stimulating undergraduate curriculum which provides a solid foundation in core areas of mathematics and economics and allows students to meet their own aspirations, interests and educational needs through module selection. 


x 
x 





To provide a sound education in mathematics and economics, appropriate to the needs of society 


x 






To provide a sound education in the mathematics of finance and in economics, appropriate to the needs of society. 



x 





To deliver a stimulating undergraduate curriculum which provides a solid foundation in core areas of mathematics and management and allows students to meet their own aspirations, interests and educational needs through module selection. 




x 




To deliver a stimulating undergraduate curriculum which provides a solid foundation in core areas of mathematics and accountancy and allows students to meet their own aspirations, interests and educational needs through module selection. 





x 



To provide students with an intellectually stimulating environment within which they can develop knowledge, understanding and skills 






x 


To enable students to benefit from a broad curriculum grounded in the study of sport, exercise science and mathematics 






x 


To allow students to draw upon knowledge and expertise in both teaching and research to support their professional practice 






x 


To support the student experience through effective management and improvement of ‘inhouse’ learning and teaching resources. 






x 


To enhance students’ career and employment prospects by developing a range of transferable skills embedded in the programme 






x 


To equip students with intellectual, practical and transferable skills and thus help prepare them for future employment in a range of fields 







x 

To enable students to advance their understanding of the nature of and issues in providing such an education 







x 

To deliver a stimulating undergraduate curriculum in mathematics which provides a solid foundation in core areas of mathematics. 







x 

To promote a reflective and critical perspective on the learning and teaching of mathematics and enable students to develop a critical insight into their own mathematical development and understanding 







x 

To provide a mathematically based, intellectual and practicallyrelated education appropriate to the needs of a modern society 







x 

To provide opportunities for students to meet their own aspirations, interests and educational needs through module selection. 







x 

To deliver a stimulating undergraduate curriculum which provides a solid foundation in core areas of mathematics and statistics and allows students to meet their own aspirations, interests and educational needs through module selection. 








x 
To provide a sound mathematics and statistics based intellectual education appropriate to the needs of a modern society. 








x 
To provide students with an environment which enables them to fulfil their potential in Mathematics and Statistics by providing access to appropriate opportunities, support and educational experiences 








x 
2. Relevant subject benchmark statements and other external and internal reference points used to inform programme outcomes:
 The Benchmark Statement for Mathematics, Statistics and Operational Research (MSOR)
 Framework for Higher Education Qualifications
 Loughborough University’s Learning and Teaching Strategy
 School Assessment Policy and Assessment Strategy
 Annual and Periodic Programme Review
 External Examiners’ reports
 Staff/student committees
 The particular specialisms of the School’s staff
3. Programme Learning Outcomes
3.1 Knowledge and Understanding
On successful completion of this programme, students should be able to demonstrate knowledge and understanding of: 
Math BSc 
Math MMath 
M w Ec 
FM 
M & Man 
MAFM 
M & SS 
M w MEd 
M w Stats 

K1 
The core disciplines of Calculus and Linear Algebra. 
x 
x 
x 
x 
x 
x 
x 
x 
x 
K2 
The role of proof and deductive reasoning in mathematics. 
x 
x 
x 
x 
x 
x 
x 
x 
x 
K3 
The formulation of problems in mathematical form. 
x 
x 
x 
x 
x 
x 
x 
x 
x 
K4 
A range of analytical, numerical, and qualitative techniques. 
x 
x 
x 
x 
x 
x 
x 
x 
x 
K5 
The applicability of computer software to the solution of mathematical problems. 
x 
x 


x 
x 
x 
x 
x 
K6 
The processes and pitfalls of mathematical approximation. 
x 
x 


x 
x 
x 
x 
x 
K7 
A higherlevel of understanding in one or more areas of mathematics. 

x 







K8 
How to develop and/or apply ideas in an original fashion, often within a research context. 

x 







K9 
A coherent core of key economic principles. 


x 






K10 
The application of economics and the appreciation of economic data. 


x 






K11 
The applicability of computer software to the mathematical problems and economic data analysis. 


x 
x 





K12 
A coherent core of principles in economics and finance. 



x 





K13 
The principles of stochastic processes and their application to financial markets. 



x 





K14 
Foundational disciplines of business and management; 




x 




K15 
The development and operation of markets for resources, goods and services including customer expectations, market orientation and the marketing mix 




x 




K16 
The sources, uses and management of finance, the use of accounting and other information systems for; 




x 




K17 
The management and development of people within organisations 




x 




K18 
The development, management and exploitation of information systems and their impact upon organisations; 




x 




K19 
The development of appropriate strategies at the corporate level within a changing national and international environment 




x 




K20 
A range of contemporary issues impacting on various areas of management. 




x 




K21 
Business organisations in their economic, fiscal, legal and political contexts; 





x 



K22 
Accounting and financial management in its major contexts, including the legal and social environments, the business entity and capital markets and the integral nature of the accounting function in the successful management of organisations; 





x 



K23 
Current technical language, developments, methods, practices and issues in accounting and financial management; 





x 



K24 
Selected alternative techniques and practices in accounting and financial management; 





x 



K25 
Methods of recording and summarising economic events and preparation of financial statements; 





x 



K26 
Analytical tools for the effective financial management of business operations; 





x 



K27 
Contemporary theories of accounting and financial management and their related research evidence. 





x 



K28 
An ability to reflect critically upon approaches to the acquisition, interpretation and analysis of information in a variety of sport contexts, 






x 


K29 
Knowledge and understanding of sportrelated behaviour through critical evaluation of both academic and professional practices. 






x 


K30 
Module choice will be important in determining whether the following intended learning outcomes are achieved, 






x 


K31 
Ways of conceptualising mathematics related to its history, philosophy and social context and their impact on learning outcomes. 







x 

K32 
How learners learn and understand mathematics with particular focuses on cognition, language and communication. 







x 

K33 
Approaches to teaching mathematics, including a focus on technology, and how teaching relates to learning. 







x 

K34 
Understanding and managing variability through the science of data investigation. 








x 
K35 
Formulating probabilitybased models in order to make inferences from samples. 








x 
3.2 Skills and other attributes
a. Subjectspecific cognitive skills:
On successful completion of this programme, students should be able to: 
Math BSc 
Math MMath 
M w Ec 
FM 
M & Man 
MAFM 
M & SS 
M w MEd 
M w Stats 

C1 
Demonstrate knowledge of key mathematical concepts and topics 
x 
x 
x 
x 
x 
x 
x 
x 

C2 
Comprehend problems, abstract the essentials of problems and formulate them mathematically 
x 
x 

x 
x 

x 
x 
x 
C3 
Demonstrate knowledge of the core of economic theory and applied economics 


x 






C4 
Demonstrate knowledge of the mathematical techniques that can be employed to model the kinds of stochastic processes that arise in financial markets 



x 





C5 
conduct research using a range of sources of businessrelated materials 




x 




C6 
Comprehend problems and abstract the essentials of problems in mathematics, accounting and finance 





x 



C7 
Select and apply the appropriate mathematical tools to solve problems 






x 


C8 
Construct and develop logical mathematical arguments with clear identification of assumptions and conclusions 






x 


C9 
Reflect critically on the central themes and issues in modules within the programme 






x 


C10 
critically assess and interpret evidence from data and text derived from sportrelated enquiry 






x 


C11 
present a reasoned argument to assess the merits of contrasting theories, explanations and instructional models 






x 


C12 
relate theory to practice in sport and exercise 






x 


C13 
Apply knowledge to solve problems in a variety of laboratory and sportbased practicals 






x 


C14 
Apply, appraise and distinguish between key elements of learning and developing understanding of mathematical concepts and topics 







x 

C15 
Design and evaluate approaches to teaching mathematics and recognise how teaching approaches have influenced a student’s own learning 







x 

C16 
Demonstrate awareness of the ways in which an education in mathematics is essential to human lives and how the ways mathematics is approached in the educational system promotes or disadvantages lives in particular cases or groups 







x 

C17 
Demonstrate knowledge of key mathematical and statistical concepts and topics 








x 
b. Subjectspecific practical skills:
On successful completion of this programme, students should be able to: 
Math BSc 
Math MMath 
M w Ec 
FM 
M & Man 
MAFM 
M & SS 
M w MEd 
M w Stats 
P1
Construct and develop logical mathematical arguments with clear identification of assumptions and conclusions 
x 
x 
x 
x 
x 


x 
x 
P2
Select and apply the appropriate mathematical tools to solve problems 
x 
x 

x 



x 

P3
Apply knowledge and problemsolving abilities in new or unfamiliar environments 

x 







P4
Comprehend problems, abstract the essentials of problems and formulate them mathematically 


x 






P5
Apply core economic theory and economic reasoning to applied topics 


x 






P6
Use appropriate techniques to enable manipulation, treatment and interpretation of the relevant statistical and economic data and apply appropriate mathematical tools to solve problems 


x 






P7
Formulate and solve problems in mathematics and business using appropriate tools 




x 




P8
Use critical thinking, analysis and synthesis to evaluate and apply concepts and insights from business disciplines, including comprehension of complex scenarios 




x 




P9
Advise on business decisions using appropriate qualitative and quantitative skills, including the ability to identify and evaluate a range of alternative scenarios 




x 




P10
Relate theory to practice in business and management 




x 




P11
Formulate and solve problems in mathematics, accounting and finance using appropriate tools 





x 



P12
Construct and develop logical mathematical arguments with clear identification of assumptions and conclusions 






x 


P13
Record and summarise transactions and other economic events 






x 


P14
Prepare financial statements 






x 


P15
Use appropriate analytical tools for accounting and financial managements tasks 






x 


P16
Gather relevant data and evidence from various sources, integrate them appropriately and reference sources adequately 






x 


P17
Critically evaluate arguments and evidence 






x 


P18
Design and evaluate approaches to learning and teaching mathematics both as observers and teachers 







x 

P19
Apply knowledge of key mathematical concepts and topics to problems in mathematics and its applications 







x 

P20
select and apply the appropriate mathematical and statistical tools to solve problems 








x 
P21
Design and conduct of experimental and observational studies and analyse the data resulting from them 








x 
P22
Apply knowledge of key mathematical concepts and topics to problems in mathematics and statistics and their applications 








x 
c. Key transferable skills:
On successful completion of this programme, students should be able to: 
Math BSc 
Math MMath 
M w Ec 
FM 
M & Man 
MAFM 
M & SS 
M w MEd 
M w Stats 
T1
Possess general study skills, including the ability to learn independently using a variety of media 
x 
x 
x 
x 
x 
x 
x 
x 
x 
T2
Have good timemanagement and organisational skills 
x 
x 
x 
x 
x 
x 
x 
x 
x 
T3
Have highly developed skill of numeracy 
x 
x 
x 
x 
x 
x 
x 
x 
x 
T4
Have general IT skills 
x 
x 
x 
x 
x 
x 
x 
x 
x 
T5
Have good communication skills 
x 
x 
x 
x 
x 
x 
x 
x 
x 
T6
Have the ability to study in a manner that is largely selfdirected 

x 







T7
Communicate quantitative and qualitative information, analysis, argument and conclusions in appropriate ways 





x 



T8
Gather relevant data and evidence from various sources, integrate them appropriately and reference sources adequately 





x 



T9
Critically evaluate arguments and evidence 





x 



T10
Be able to work with others in collaborative ways 







x 

T11
Demonstrate insight into issues in learning and teaching both in their own studies and when working with other learners 







x 

4. Programme structure
Programme title and code 

Programme Code 
Title 
Abbreviation 
MAUB10 
Mathematics BSc 
Math 
MAUM10 
Mathematics MMath 

MAUB20 
Maths with Economics 
M w Ec 
MAUB21 
Financial Mathematics 
FM 
MAUB22 
Maths and Management 
M & Man 
MAUB23 
Maths, Accounting and Financial Management 
MAFM 
MAUB25 
Maths and Sport Science 
M & SS 
MAUB28 
Mathematics with Mathematics Education 
M w MEd 
MAUB29 
Mathematics with Statistics 
M w Stats 
Programme Structure
Key
x Compulsory Module
o Optional Module
* Module is compulsory for MMath Candidates
# Module available to BSc candidates only
^ In Part C, candidates must choose Mathematics modules of total weight at least 60, Economics modules of total weight at least 40 to make up a total modular weight of 120.
BSc Prj BSc Candidates must register for either MAC300 BSc Mathematics Project (20 credits) in Semesters 1 and 2 or MAC200 Mathematics Report (10 credits) in Semester 2. In order to study MAC300 candidates will normally be required to have achieved a Part B average >65%. MMath candidates do not study MAC300 or MAC200.
o=>n Indicates the minimum number of credits to be taken in that subject (subject indicate by first two letters of module code)
oSS Sports Science optional modules to be chosen such that total modular weight for the year including compulsory modules is 60 and the minimum modular weight in either semester including both Physical Education and Sports Science modules and Mathematics modules, is 50.
xA oB and oA xB Candidates on Mathematics with Statistics must choose a path (A or B) for their degree, this will dictate their compulsory modules in Parts B and C.
Total Modular Weighting per Semester
Students normally study modules with a total weight of 60 in each semester. However, in Part C, students may be allowed to study modules up to a total weight of 70 in a semester, 120 in the Part, subject to the consent of the Head of Department.
4.1 Part A 

Code 
Module Title 
Cred 
Sem 
Math 
M w Ec 
FM 
M & Man 
MAFM 
M & SS 
M w MEd 
M w Stats 
MAA140 
Analysis 1 
10 
1 
x 
x 
x 
x 


x 
x 
MAA142 
Linear Algebra 
10 
1 
x 
x 
x 
x 
x 
x 
x 
x 
MAA145 
Mathematical Thinking 
10 
1 
x 





x 
x 
MAA150 
Mathematical Methods 1 
10 
1 
x 
x 
x 
x 
x 
x 
x 
x 
MAA155 
Introduction to Applied Mathematics 
10 
1 
x 





x 
x 
MAA160 
Computer Applications in Mathematics 
10 
1 
x 
x 
x 
x 
x 
x 
x 
x 
MAA240 
Analysis 2 
10 
2 
x 
x 
x 
x 


x 
x 
MAA242 
Geometry and Groups 
10 
2 
x 
x 
x 
x 
x 
x 
x 
x 
MAA245 
Numbers 
10 
2 
x 





x 
x 
MAA250 
Mathematical Methods 2 
10 
2 
x 
x 
x 
x 
x 
x 
x 
x 
MAA251 
Mechanics 
10 
2 
x 





x 
x 
MAA270 
Introductory Probability and Statistics 
10 
2 
x 
x 
x 
x 
x 
x 
x 
x 
BSA017 
Financial Accounting 
20 
1 




x 



BSA020 
Microeconomics for Financial Studies 
10 
1 




x 



BSA505 
Organisational Behaviour 
10 
1 



x 




BSA525 
Introduction to Accounting 
10 
1 



x 




BSA019 
Accounting in Context 
10 
2 




x 



BSA022 
Macroeconomics for Financial Studies 
10 
2 




x 



BSA025 
Introduction to Law 
10 
2 




x 



BSA506 
Management of Human Resources 
10 
2 



x 




BSA526 
Accounting for Managers 
10 
2 



x 




ECA001 
Principles of Macroeconomics 
20 
1 & 2 

x 
x 





ECA002 
Principles of Microeconomics 
20 
1 & 2 

x 
x 





PSA001 
Teaching and Coaching 1 
20 
1 & 2 





x 


PSA028 
Biomechanics of Sport 
10 
1 





x 


PSA020 
Exercise Physiology 
10 
1 





x 


PSA002 
Fitness and Training 
10 
2 





x 


PSA026 
Foundations of Sport and Exercise Psychology 
10 
2 





x 


4.2 Part B 

Code 
Name 
Cred 
Sem 
Math 
M w Ec 
FM 
M & Man 
MAFM 
M & SS 
M w MEd 
M w Stats 

MAA140 
Analysis 1 
10 
1 



x 
x 



MAA145 
Mathematical Thinking 
10 
1 

o 

o 





MAA155 
Introduction to Applied Mathematics 
10 
1 

x 
x 
x 
x 
x 



MAA240 
Analysis 2 
10 
2 



x 
x 



MAA255 
Differential Equations 
10 
2 

x 
x 
x 
x 
x 



MAB120 
Communicating Mathematics 
10 
1 
x 





x 
x 

MAB130 
An Introduction to Mathematics Education 
10 
1 
o 





x 
o 

MAB141 
Analysis 
10 
1 
x 
o 
x 



x 
x 

MAB142 
Vector Spaces 
10 
1 
o* 
o 

o 


o 
o 

MAB150 
Vector Calculus 
10 
1 
x 





x 
o 

MAB156 
Modelling with Differential Equations 
10 
1 
o 





o 
o 

MAB160 
Numerical Methods 1 
10 
1 
o 
o 

o 


o 
o 

MAB170 
Probability Theory 
10 
1 
o 
x 
x 
x 
x 
x 
o 
x 

MAB171 
Applied Statistics 
10 
1 
o 
o 

o 
o 
o 
x 

MAB232 
Sociocultural views of mathematics teaching and learning 
10 
2 
o 





x 
o 

MAB240 
Fourier Analysis & Partial Differential Equations 
10 
2 
x 





x 
x 

MAB241 
Complex Variables 
10 
2 
x 
o 

o 


x 
x 

MAB242 
Abstract Algebra 
10 
2 
o* 
o 

o 

o 
o 
o 

MAB250 
ODEs & Calculus of Variations 
10 
2 
o* 





o 
o 

MAB255 
Analytical Dynamics 
10 
2 
o 





o 
o 

MAB260 
Numerical Methods 2 
10 
2 
o 
o 

o 


o 
o 

MAB265 
Scientific Programming 
10 
2 
o 
o 

o 

o 



MAB270 
Statistical Modelling 
10 
2 
o 
x 
x 
x 
o 
o 
o 
x 

MAB280 
Introduction to Stochastic Processes 
10 
2 
o 

x 

o 

o 
o^{A} x^{B} 

xxBxxx 
Another Part B level Module 
10 
1 
o 





o 


xxBxxx 
Another Part B level Module 
10 
2 
o 





o 
o 

BSB005 
Management Accounting 
20 
1 & 2 




x 




BSB015 
Company Law 
10 
1 




x 




BSB030 
Marketing 
10 
1 




x 




BSB555 
Organisation Studies 
10 
1 



x 





BSB560 
Principles of Marketing 
10 
1 



x 





BSB580 
Operations Management 
10 
1 



x 







Code 
Name 
Cred 
Sem 
Math 
M w Ec 
FM 
M & Man 
MAFM 
M & SS 
M w MEd 
M w Stats 

BSB007 
Financial Reporting 
10 
2 




x 




BSB025 
Financial Management 
10 
2 




x 




BSB550 
Company Finance 
10 
2 



x 





BSB562 
The Marketing Mix 
10 
2 



x 





BSB572 
Management Science Methods 
10 
2 



x 





ECB001 
Intermediate Macroeconomics 
20 
1 & 2 

o 
x 






ECB002 
Intermediate Microeconomics 
20 
1 & 2 

o 
x 






ECB003 
Introduction to Econometrics 
20 
1 & 2 

o 







ECB004 
Introduction to Finance 
20 
1 & 2 


x 






PSB211 
Exercise Physiology 2 
20 
1 & 2 





o^{SS} 



PSB027 
Acquiring Movement Skills 
10 
1 





o^{SS} 



PSB029 
Biomechanics of Sports Movements 
10 
1 





o^{SS} 



PSB031 
Psychological Issues and Strategies in Sport 
10 
1 





o^{SS} 



PSB002 
Structural Kinesiology 
10 
2 





x 



PSB026 
Psychosocial Factors in Competitive Sport 
20 
2 





o^{SS} 



PSB028 
Methods of Analysis in Sports Biomechanics 
10 
2 





o^{SS} 


4.3 Part C 

Code 
Name 
Cr 
Sem 
Math 
M w Ec 
FM 
M & Man 
MA FM 
M & SS 
M w MEd 
M w Stats 
MAB141 
Analysis 
10 
1 



o ^{=>40} 
o^{=>50} 
o 


MAB142 
Vector Spaces 
10 
1 




o^{=>50} 



MAB150 
Vector Calculus 
10 
1 

o^{=>60} 

o ^{=>40} 

o 


MAB156 
Modelling with Differential Equations 
10 
1 

o^{=>60} 

o ^{=>40} 

o 


MAB160 
Numerical Methods 1 
10 
1 


o^ 

o^{=>50} 



MAB250 
ODEs and Calculus of Variations 
10 
2 

o^{=>60} 
o^ 





MAB260 
Numerical Methods 2 
10 
2 


o^ 





MAC132 
Multiple Representations and the Learning of Mathematics 
10 
1 
o 





x 
o 
MAC147 
Number Theory 
10 
1 
o 
o^{=>60} 
o^ 
o ^{=>40} 
o^{=>50} 
o 
o 
o 
MAC148 
Introduction to Dynamical Systems 
10 
1 
o 

o^ 

o^{=>50} 
o 
o 
o 
MAC149 
Mathematical Methods for Differential Equations 
10 
1 

o^{=>60} 
x 
o ^{=>40} 
o^{=>50} 
o 


MAC150 
Inviscid Fluid Mechanics 
10 
1 
o 





o 
o 
MAC170 
Medical Statistics 
10 
1 







x^{A} o^{B} 
MAC175 
Operational Research 
10 
1 
o 
o^{=>60} 
o^ 
o ^{=>40} 
o^{=>50} 
o 
o 
x^{A} o^{B} 
MAC176 
Graph Theory 
10 
1 
o 
o^{=>60} 
o^ 
o ^{=>40} 
o^{=>50} 
o 
o 

MAC180 
Discrete Stochastic Methods in Finance 
10 
1 
o 
o^{=>60} 
x 

o^{=>50} 

o 
o^{A} x^{B} 
MAC197 
Introduction to Differential Geometry 
10 
1 
o 

o^ 

o^{=>50} 

o 
o 
MAC200 
Mathematics Report 
10 
2 
x ^{BSc Prj} 







MAC241 
Applied Complex Analysis 
10 
2 
o 


o ^{=>40} 


o 
o 
MAC246 
Metric Spaces 
10 
2 
o* 

o^ 
o ^{=>40} 
o^{=>50} 
o 
o 
o 
MAC249 
Linear Differential Equations 
10 
2 
o* 
o^{=>60} 
x 
o ^{=>40} 
o^{=>50} 
o 
o 

MAC251 
Vibrations and Waves 
10 
2 
o 





o 
o 
MAC265 
Game Theory 
10 
2 
o 
o^{=>60} 
o^ 
o ^{=>40} 
o^{=>50} 
o 
o 
o 
MAC272 
Random Processes and Time Series Analysis 
10 
2 
o 
o^{=>60} 
o^ 
o ^{=>40} 
o^{=>50} 
o 
o 
x^{A} o^{B} 
MAC280 
Continuous Stochastic Methods in Finance 
10 
2 
o 
o^{=>60} 
x 

o^{=>50} 

o 
o^{A} x^{B} 
MAC297 
Mathematical Biology 
10 
2 
o 
o^{=>60} 
o^ 
o ^{=>40} 
o^{=>50} 
o 
o 
o 
MAC298 
Elements of Topology 
10 
2 
o 
o^{=>60} 
o^ 
o ^{=>40} 
o^{=>50} 
o 
o 
o 
Code 
Name 
Cred 
Sem 
Math 
M w Ec 
FM 
M & Man 
MAFM 
M & SS 
M w MEd 
M w Stats 
MAC300 
BSc Mathematics Project 
20 
1 & 2 
x BSc Prj 







MAC302 
BSc Statistics Project 
30 
1 & 2 







x 
MAC330 
BSc Mathematics Education Project 
30 
1 & 2 






x 

DSC023 
Studies in Science and Mathematics Education 
10 
2 
o# 
o=>60 

o =>40 
o=>50 
o 
x 

xxCxxx 
Another Part C level Module 
10 
1 
o 





o 
o 
xxCxxx 
Another Part C level Module 
10 
2 
o 





o 
o 
PHB230 
Science of the Internet 
10 
2 
o 





o 
o 
PHC130 
Fundamentals of Quantum Information 
10 
1 
o 





o 
o 
PHC207 
Climate Physics 
10 
2 
o 





o 
o 
BSC005 
Advanced Financial Reporting 
20 
1 & 2 




x 



BSC010 
Management Accounting and Control 
20 
1 & 2 




x 



BSC012 
Issues in Management Accounting 
10 
2 




o=>50 



BSC015 
Financial Management and Corporate Policy 
10 
1 



o =>40 
o=>50 



BSC016 
Financial Risk Management 
10 
2 




o=>50 



BSC018 
Behavioural Finance 
10 
2 



o =>40 
o=>50 



BSC025 
Auditing 
10 
2 




o=>50 



BSC029 
International Financial Reporting 
10 
1 




o=>50 



BSC042 
Corporate & Wholesale Banking 
10 
2 



o =>40 
o=>50 



BSC105 
International Human Resource Management 
10 
1 



o =>40 




BSC165 
Business Forecasting 
10 
1 



o =>40 




BSC520 
Business Systems 
10 
1 



o =>40 
o=>50 



BSC522 
Entrepreneurship and Innovation 
10 
1 



o =>40 
o=>50 



BSC570 
Strategic Management 
20 
1 



x 




BSC124 
Marketing Communications 
10 
2 



o =>40 




Code 
Name 
Cred 
Sem 
Math 
M w Ec 
FM 
M & Man 
MAFM 
M & SS 
M w MEd 
M w Stats 
BSC524 
Entrepreneurship and Small Business Planning 
10 
2 



o =>40 




BSC575 
Leadership and Interpersonal Skills 
10 
2 



o =>40 




ECC013 
International Economic Relations 
20 
1 & 2 

o 






ECC014 
Economics of the Financial System 
20 
1 & 2 

o 
o^ 





ECC004 
Financial Economics and Asset Pricing 
20 
1 


x 





ECC024 
Econometric Modelling 1 
20 
1 

o=>40 






ECC031 
International Trade 
20 
1 

o=>40 






ECC035 
Monetary Theory and Policy 
20 
1 

o=>40 






ECC101 
Developments in Macroeconomics 
20 
1 

o=>40 






ECC001 
Developments in Microeconomics 
20 
2 

o=>40 






ECC005 
Industrial Economics 
20 
2 

o=>40 






ECC119 
Development Economics 
20 
2 

o=>40 






ECC141 
Corporate Finance and Derivatives 
20 
2 


x 





PSC019 
Applied Physiology of Sports Performance 
10 
1 





oSS 


PSC021 
Physiology of Exercise and Health 
20 
1 





oSS 


PSC022 
Sport and Exercise Medicine 
10 
1 





oSS 


PSC031 
Psychology of Sporting Excellence 
20 
1 





oSS 


PSC026 
Exercise Psychology 
20 
2 





oSS 


PSC027 
Motor Control of Sports Movement 
10 
2 





oSS 


PSC029 
Mechanics of Sports Techniques 
10 
2 





oSS 


4.4 Part D 

Code 
Name 
Cred 
Sem 
Math 
MAD300 
MMath Mathematics Project 
30 
1 & 2 
x 
MAD102 
Regular and Chaotic Dynamics 
15 
1 
o 
MAD103 
Lie Groups and Lie Algebras 
15 
1 
o 
MAD202 
Nonlinear Waves 
15 
2 
o 
MAD203 
Functional Analysis 
15 
2 
o 
MAP102 
Programming and Numerical Methods 
15 
1 
o 
MAP104 
Introduction to Measure Theory and Martingales 
15 
1 
o 
MAP111 
Mathematical Modelling 1 
15 
1 
o 
MAP114 
Stochastic Models in Finance 
15 
1 
o 
MAP201 
Elements of Partial Differential Equations 
15 
2 
o 
MAP202 
Static and Dynamic Optimisation 
15 
2 
o 
MAP204 
Stochastic Calculus and Theory of Stochastic Pricing 
15 
2 
o 
MAP211 
Mathematical Modelling 2 
15 
2 
o 
MAP213 
Fluid Mechanics 
15 
2 
o 
TTP210 
Advanced Reliability, Availability and Maintainability 
15 
1 
o 
5. Criteria for Progression and Degree Award
In order to progress from Part A to Part B, from Part B to C, from C to D (if applicable) and to be eligible for the award of an Honours degree, candidates must satisfy the minimum credit requirements set out in Regulation XX.
5.1 Progression for Mathematics BSc, Mathematics with Economics BSc, Financial Mathematics BSc, Mathematics with Mathematics Education BSc, Mathematics with Statistics BSc
Part A to Part B
Candidates must, in addition, achieve at least 40% in core Mathematics Modules MAA140 Analysis 1, MAA150 Mathematical Methods 1, MAA142 Linear Algebra, MAA240 Analysis 2, MAA250 Mathematical Methods 2.
5.2 Progression for Mathematics with Management BSc
Part A to Part B; candidates must, in addition, achieve at least 40% in core Mathematics Modules MAA140 Analysis 1, MAA150 Mathematical Methods 1, MAA142 Linear Algebra, MAA240 Analysis 2, MAA250 Mathematical Methods 2.
Part B to Part C; candidates must, in addition, accumulate at least 50 credits from Business School modules (coded BS****) taken in Part B.
To pass Part C; candidates must, in addition, accumulate at least 30 Credits from Mathematics modules (coded MA****) and at least 30 credits from Business School modules (coded BS****) taken in Part C.
5.3 Progression for Mathematics, Accounting and Financial Management BSc
Part A to Part B; candidates must, in addition, achieve at least 40% in core Mathematics Modules, MAA150 Mathematical Methods 1, MAA142 Linear Algebra, and MAA250 Mathematical Methods 2 and in at least one of the core Business modules, BSA017 and BSA019.
Part B to Part C; candidates must, in addition, accumulate at least 40% in core Mathematics Modules MAA140, Analysis 1 and MAA240 Analysis 2 and also accumulate at least 40 credits from Mathematics modules (coded MA****) and at least 40 credits from Business School modules (coded BS****) taken in Part B. In addition candidates must achieve at least 30% in BSB005 (Management Accounting) and BSB007 (Financial Reporting).
To pass Part C; candidates must, in addition, accumulate at least 30 Credits from Mathematics modules (coded MA****) and at least 30 credits from Business School modules (coded BS****) taken in Part C.
5.4 Progression for Mathematics and Sports Science
Part A to Part B
Candidates must, in addition, achieve at least 40% in core Mathematics Modules, MAA150 Mathematical Methods 1, MAA142 Linear Algebra and MAA250 Mathematical Methods 2.
Part B to C
Candidates must, in addition, achieve at least 40% in core Mathematics Modules MAA140 Analysis 1 and MAA240 Analysis 2.
5.5 Progression for Mathematics MMath
Part A to Part B; MMath candidates must obtain 120 credits from modules taken in Part A and must normally obtain an overall average mark of at least 55% in these modules.
Part B to Part C; MMath candidates must obtain 120 credits from modules taken in Part B and must normally obtain an overall average mark of at least 55% in these modules.
Part C to Part D; MMath candidates must normally obtain an overall average mark of at least 55% in modules taken in Part C.
5.6 MMath candidates who fail at the end of Part B, C or Part D.
Any MMath candidate who fails to achieve the criteria above required for progression from Part B to Part C shall have the opportunity to repeat Module Assessments in accordance with the provisions of Regulation XX in order to qualify for to progress to Part C. Alternatively, a MMath candidate may elect to enter Part C of the BSc degree programme in Mathematics provided that the candidate has achieved the criteria for progression required for that programme. Failure at reassessment will not prejudice this permission to enter the BSc degree programme subsequently.
Any MMath candidate who fails to achieve the criteria for progression from Part C to Part D shall have the opportunity to repeat Module Assessments in accordance with the provisions of Regulation XX in order to qualify to progress to Part D. The Programme may at its discretion award the degree of BSc in Mathematics to any candidate who has satisfied the requirements for that degree. Failure at reassessment will not prejudice the candidate’s eligibility for such an award.
Any candidate who, having successfully completed Part C, in unable to commence or complete Part D or fails to achieve the criteria necessary for the award of the degree of MMath in Mathematics may at the discretion of the Programme Board be awarded the degree of BSc in Mathematics with a classification corresponding to the candidate’s achievement in Part B and C assessments and determined on the basis of the weightings given for the BSc programme (below).
6. Relative Weighting of Parts of the Programme for the Purposes of Final Degree Classification
Candidates' final degree classification will be determined on the basis of their performance in degree level Module Assessments in Parts B and C (and D if applicable). The average percentage mark for each Part will be combined in the ratio specified in the following table.
BSc Candidates 
Part B : Part C 
1 : 3 
Mathematics MPhys Candidates 
Part B : Part C : Part D 
1 : 3 : 4 