Programme Specification
Mathematics UG Programmes (pre 2019 entry)
Academic Year: 2020/21
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 and 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  See Programme Structure 
Admissions criteria  Mathematics MMath (Hons) DPS/DIntS  http://www.lboro.ac.uk/g104 / MMath (Hons)  http://www.lboro.ac.uk/g103 BSc (Hons) DPS/DIntS  http://www.lboro.ac.uk/g101 / BSc (Hons)  http://www.lboro.ac.uk/g100 Mathematics with Economics BSc (Hons)  http://www.lboro.ac.uk/g1l1 / BSc (Hons) DPS/DIntS  http://www.lboro.ac.uk/g1lc Financial Mathematics BSc (Hons)  http://www.lboro.ac.uk/gn13 / BSc (Hons) DPS/DIntS  http://www.lboro.ac.uk/gnc3 Mathematics and Management Mathematics and Accounting and Financial Management BSc (Hons)  http://www.lboro.ac.uk/g1n4 / BSc (Hons) DPS/DIntS  http://www.lboro.ac.uk/g1nk Mathematics and Sport Science BSc (Hons)  http://www.lboro.ac.uk/cg61 / BSc (Hons) DPS/DIntS  http://www.lboro.ac.uk/gc16 Mathematics with Mathematics Education Mathematics with Statistics BSc (Hons)  http://www.lboro.ac.uk/gg13 / BSc (Hons) DPS/DIntS  http://www.lboro.ac.uk/gg1h 
Date at which the programme specification was published  Sun, 02 Aug 2020 09:45:37 BST 
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 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:  Maths BSc  Math MMath  M w Ec  FM  M & Man  MAFM  M & SS  M w MEd  M w Stats  
K1  The core discipline of Calculus  x  x  x  x  x  x  x  x  x 
K2  The core discipline of Linear Algebra  x  x  x  x  x  x  x  x  x 
K3  The role of proof and deductive reasoning in mathematics  x  x  x  x  x  x  x  x  x 
K4  The formulation of problems in mathematical form  x  x  x  x  x  x  x  x  x 
K5  A range of analytical, numerical and qualitative techniques  x  x  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  Ways of conceptualising mathematics related to its history, philosophy and social context and their impact on learning outcomes  x  
K9  How learners learn and understand mathematics with particular focuses on cognition, language and communication.  x  
K10  Approaches to teaching mathematics and how teaching relates to learning.  x  
K11  How to understand and manage variability through the science of data investigation  x  
K12  Probabilitybased models and their uses for making inferences from samples.  x  
K13  Fundamental concepts of statistics and inference  x  
K14  A coherent core of economic principles  x  x  
K15  The application of economics  x  
K16  A coherent core of principles in finance  x  
K17  The principles of stochastic processes and their application to financial markets  x  
K18  Foundational disciplines of business and management  x  
K19  The development and operation of markets for resources, goods and services including customer expectations, market orientation and the marketing mix.  x  
K20  The sources, uses and management of finance, the use of accounting and other information systems for managerial applications.  x  
K21  The management and development of people within organisations  x  
K22  The development, management and exploitation of information systems and their impact upon organisations.  x  
K23  The development of appropriate strategies at the corporate level within a changing national and international environment.  x  
K24  A range of contemporary issues affecting various areas in management.  x  
K25  Business organisations in their technological, economic, fiscal, legal and political contexts  x  
K26  Accounting and financial management in their 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  
K27  Current technical language, developments, methods, practices and issues in accounting and financial management  x  
K28  Selected alternative techniques and practices in accounting and financial management  x  
K29  Methods of recording and summarising economic events and preparation of financial statements  x  
K30  Analytical tools for the effective financial management of business operations  x  
K31  Contemporary theories of accounting and financial management and their related research evidence  x  
K32  Sportrelated behaviour through critical evaluation of both academic and professional practices.  x  
K33  One or more of the following, depending on module choice: 1.An understanding of human structure and function addressed in multidiscipline based enquiry 2. The effects of sport and exercise intervention on the participant and special populations. 3. The importance of the social, economic and political domains to explain the development and differentiation of sport in society.  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  Fin Maths  M & Man  MAFM  M & SS  M w MEd  M w Stats  
C1  Construct and develop logical mathematical arguments with clear identification of assumptions and conclusions  x  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  x  x 
C3  Apply, appraise and distinguish between key elements of learning and developing understanding of mathematical concepts and topics  x  
C4  Develop and/or apply ideas in an original fashion, often within a research context  x  
C5  Design and evaluate approaches to teaching mathematics and recognise how teaching approaches have influenced a student's own learning  x  
C6  Critically evaluate 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 and groups  x  
C7  Critically analyse economic principles and problems  x  
C8  Use critical thinking, analysis and synthesis to evaluate and apply concepts and insights from business disciplines, including comprehension of complex scenarios.  x  
C9  Advise on business decisions using appropriate qualitative and quantitative skills, including the ability to identify and evaluate a range of alternative scenarios  x  
C10  Relate theory to practice in business and management  x  x  
C11  Formulate and solve problems in business using appropriate tools  x  
C12  Analyse, model and solve structured and unstructured problems  x  
C13  Reflect critically on the central themes and issues in modules within the field of Sport Science  x  
C14  Critically assess and interpret evidence from data and text derived from sportrelated enquiry  x  
C15  Present a reasoned argument to assess the merits of contrasting theories, explanations and instructional models  x  
C16  Reflect critically upon approaches to the acquisition, interpretation and analysis of informtion in a variety of sport contexts.  x  
C17  Apply knowledge to solve problems in a variety of laboratory and sportbased practicals  x  
C18  Describe and comment on sources of variability in data  x  
C19  Evaluate the quality of data and data analysis  x 
b. Subjectspecific practical skills:
On successful completion of this programme, students should be able to:  Maths BSc  Math Mmath  M w Ec  Fin Maths  M & Man  MAFM  M & SS  M w MEd  M w Stats  
P1  Select and apply appropriate mathematical tools to solve problems  x  x  x  x  x  x  x  x  x 
P2  Apply knowledge of key mathematical concepts and topics to problems in mathematics and its applications  x  x  x  x  
P3  Apply appropriate computer software to aid the solution of mathematical problems  x  x  x  x  x  x  x  x  x 
P4  Apply knowledge and problemsolving abilities in new or unfamiliar environments  x  
P5  Design and evaluate approaches to learning and teaching mathematics  x  
P6  Select and apply appropriate statistical tools to solve problems  x  
P7  Design experimental and observational studies and anaylse the data resulting from them  x  
P8  Apply knowledge of key statistical concepts and topics to problems  x  
P9  Communicate the results of statistical investigation clearly and accurately  x  
P10  Apply core economic theory and economic reasoning to applied topics  x  
P11  Construct economic and statistical models  x  
P12  Apply the techniques of stochastic analysis that are used to model financial markets  x  
P13  Conduct research using a range of sources of businessrelated materials  x  
P14  Formulate and solve problems in accounting and finance using appropriate tools  x  
P15  Record and summarise transactions and other economic events  x  
P16  Prepare financial statements  x  
P17  Use appropriate analytical tools for accounting and financial management tasks  x  
P18  Monitor and evaluate sports performance in a laboratory and field setting.  x 
c. Key transferable skills:
On successful completion of this programme, students should be able to:  Maths BSc  Math Mmath  M w Ec  Fin Maths  M & Man  MAFM  M & SS  M w MEd  M w Stats  
T1  Learn independently using a variety of media  x  x  x  x  x  x  x  x  x 
T2  Manage time effectively and organise and prioritise tasks  x  x  x  x  x  x  x  x  x 
T3  Apply highlydeveloped numeracy skills in a range of contexts  x  x  x  x  x  x  x  x  x 
T4  Work competently with IT  x  x  x  x  x  x  x  x  x 
T5  Communicate complex information effectively  x  x  x  x  x  x  x  x  x 
T6  Study in a manner that is largely selfdirected  x  
T7  Work with others collaboratively on a range of problems  x  
T8  Appraise the positions of learners and teachers as a result of experiences both in students' own studies and when working with other learners.  x  
T9  Communicate quantitative and qualitative information, analysis, argument and conclusions in effective ways  x  
T10  Gather relevant data and evidence from various sources, integrate them appropriately and reference sources appropriately  x  x  
T11  Critically evaluate arguments and evidence  x  x 
4. Programme structure
Programme title and code 

Programme Code 
Title 
Abbreviation 
MAUB10 
Mathematics BSc 
Math 
MAUM10 
Mathematics MMath 

MAUB20 
Mathematics with Economics 
M w Ec 
MAUB21 
Financial Mathematics 
FM 
MAUB22 
Mathematics and Management 
M & Man 
MAUB23 
Mathematics and Accounting and Financial Management 
MAFM 
MAUB25 
Mathematics and Sport Science 
M & SS 
MAUB28 
Mathematics with Mathematics Education 
M w MEd 
MAUB29 
Mathematics with Statistics 
M w Stats 
Programme UCAS Codes 

Course 
BSc 
BSc with DPS 
MMath 
MMath with DPS 
Mathematics 
G100 
G101 
G103 
G104 
Mathematics with Economics 
G1L1 
G1LC 


Financial Mathematics 
GN13 
GNC3 


Mathematics and Management 




Mathematics and Accounting and Financial Management 
G1N4 
G1NK 


Mathematics and Sport Science 
CG61 
GC16 


Mathematics with Mathematics Education 



Mathematics with Statistics 
GG13 
GG1H 


Programme Structure
Key
x Compulsory Module
o Optional Module
* Module is compulsory for MMath Candidates
~ Available only to students who have not taken the module in a previous part
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 >60%. 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)
o^{=n } Indicates the total number of credits to be taken in that subject (subject indicate by first two letters of module code)
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 Director of Studies.
Optional Modules in Part C
In accordance with the University credit framework, students in Part C of their programme may choose a maximum of 30 credits of Part B modules. The remaining 90 credits must be from Part C modules as listed in this document.
Optional Modules
Please note: Optional modules are subject to availability and timetable permitting.
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 
BSA013  Principles of Financial Accounting  10  1  x  
BSA020  Microeconomics for Financial Studies  10  1  x  
BSA505  Organisational Behaviour  10  1  x  
BSA525  Introduction to Accounting  10  1  x  
BSA014  Financial Accounting & Analysis  10  2  x  
BSA019  Accounting in Context  10  2  x  
BSA022  Macroeconomics for Financial Studies  10  2  x  
BSA025  Introduction to Law  10  1  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  
PSA020  Introduction to Human and Exercise Physiology  10  1  x  
PSA028  Biomechanics of Sport  10  1  x  
PSA026  Foundations of Sport and Exercise Psychology  10  2  x  
PSA027  Acquiring Movement Skills  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  
MAA143  Analysis 1  10  1  x  x  
MAA145  Mathematical Thinking  10  1  o  o  
MAA243  Analysis 2  10  2  x  x  
MAA252  Mechanics  10  2  x  x  x  x  x  
MAB120  Communicating Mathematics  10  2  x  x  x  
MAB130  An Introduction to Mathematics Education  10  1  o  x  o  
MAB141  Analysis 3  10  1  x  o  x  x  x  
MAB242  Abstract Algebra  10  1  o*^{}  o^{}  o^{}  o^{}  o^{}  
MAB150  Vector Calculus  10  1  x^{}  x^{}  o^{}  
MAB151  Mathematical Methods 3  10  1  x  x  x  x  x  x  x  x  
MAB360  Programming and Numerical Methods  20  1 & 2  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  
MAB241  Complex Analysis  10  2  x  o  o  x  x  
MAB142  Vector Spaces  10  2  o*  o  o  o  o  
MAB250  ODEs & Calculus of Variations  10  2  o*  o  o  
MAB255  Analytical Dynamics  10  2  o  o  o  
MAB270  Statistical Modelling  10  2  o  x  x  x  o  o  o  x  
MAB280  Introduction to Stochastic Processes  10  2  o  o  x  o  o  o^{A} x^{B}  
xxBxxx  Another Part B level Module from the University Undergraduate Catalogue subject to approval by Programme Director or a module from the University Wide Language Programme or Business School Open Modules  10  1  o  o  
xxBxxx  Another Part B level Module from the University Undergraduate Catalogue subject to approval by Programme Director or a module from the University Wide Language Programme or Business School Open Modules  10  2  o  o  o  
BSB005  Management Accounting  20  1 & 2  x  
BSB015  Company Law  10  1  x  
BSB555  Organisation Studies  10  1  x  
BSB560  Principles of Marketing  10  1  x  
BSB580  Operations Management  10  2  x  
BSB007  Financial Reporting  10  2  x  
BSB025  Financial Management  10  1  x  
BSB027  Financial Markets and Derivatives Fundamentals  10  2  x  
BSB550  Company Finance  10  2  x  
BSB562  The Marketing Mix  10  2  x  
BSB572  Management Science Methods  10  1  x  
ECB001  Intermediate Macroeconomics  20  1 & 2  o^{>=20}  x  
ECB002  Intermediate Microeconomics  20  1 & 2  o^{>=20}  x  
ECB003  Introduction to Econometrics  20  1 & 2  o^{>=20}  
ECB004  Introduction to Financial Economics  20  1 & 2  x  
PSB211  Exercise Physiology  20  1 & 2  o^{=60}  
PSB027  Motor Control of Sport Movements  10  1  o^{=60}  
PSB029  Biomechanics of Sports Movements  10  1  o^{=60}  
PSB031  Psychological Issues and Strategies in Sport  10  1  o^{=60}  
PSB002  Structural Kinesiology  10  2  x  
PSB026  Group and Interpersonal Processes in Competitive Sport  10  2  o^{=60}  
PSB028  Methods of Analysis in Sports Biomechanics  10  2  o^{=60}  
PSB033  Principles of Exercise Psychology  10  2  o^{=60} 
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 3  10  1  o^{>=40}  o^{=>50}  o^{=60}  
MAB143  Rings and Polynomials  10  1  o^{>=30}  o^{=60}  
MAB192  Introduction to Differential Geometry  10  1  o  o^{>=60}  o^{>=30}  o^{=>50}  o  
MAB360  Numerical Methods  20  1+2  o^{>=30}  
MAB250  ODEs and Calculus of Variations  10  2  o^{>=60}  o^{>=30}  o^{=60}  
MAB298  Elements of Topology  10  2  o  o^{>=60}  o^{>=30}  o^{=>50}  o^{=60}  o  
MAC132  Multiple Representations and the Learning of Mathematics  10  1  o  x  o  
MAC142  Introduction to Algebraic Geometry  10  1  o  o  o  
MAC147  Number Theory  10  1  o  o^{>=60}  o^{>=30}  o^{>=40}  o^{>=50}  o^{=60}  o  o 
MAC148  Introduction to Dynamical Systems  10  1  o  o^{>=30}  o^{>=50}  o^{=60}  o  o  
MAC171  Statistics for Large Data  10  1  o  o^{>=60}  o^{>=30}  o  
MAC175  Operational Research  10  1  o  o^{>=60}  o^{>=30}  o^{>=40}  o^{>=50}  o^{=60}  o  x^{A} o^{B} 
MAC176  Graph Theory  10  1  o  o^{>=60}  o^{>=30}  o^{>=40}  o^{>=50}  o^{=60}  o  o 
MAC180  Stochastic Methods in Finance  10  1  o  o^{>=60}  x  o^{>=50}  o  o^{A} x^{B}  
MAC170  Medical Statistics  10  2  o  o^{>=40}  o^{>=50}  o^{=60}  o  x^{A} o^{B}  
MAC200  Mathematics Report  10  2  x ^{BSc Prj}  
MAC233  Studies in Science and Mathematics Education  10  2  o^{}  o^{>=60}  o^{>=40}  o^{>=50}  o^{=60}  x  
MAC241  Advanced Complex Analysis  10  2  o  o^{>=60}  o^{>=40}  o  o  
MAC249  Linear Differential Equations  10  2  o*  o^{>=60}  x  o^{>=40}  o^{>=50}  o^{=60}  o  o 
MAC251  Vibrations and Waves  10  2  o  o  o  o  
MAC260  Elliptic Curves  10  2  o  o^{>=60}  o^{>=40}  o  o  
MAC281  Computational Methods in Finance  10  2  o  o^{>=60}  x  o  o^{A} x^{B}  
MAC297  Mathematical Biology  10  2  o  o^{>=30}  o^{>=40}  o^{>=50}  o^{=60}  o  o  
MAC300  BSc Mathematics Project  20  1 & 2  x BSc Prj  
MAC302  Statistics Project  30  1 & 2  x  
MAC330  Mathematics Education Project  30  1 & 2  x  
xxCxxx  Another Part C level Module from the University Undergraduate Catalogue subject to approval by Programme Director or a module from the University Wide Language Programme or Business School Open Modules  10  1  o  o  o  o  o  o  o  
xxCxxx  Another Part C level Module from the University Undergraduate Catalogue subject to approval by Programme Director or a module from the University Wide Language Programme or Business School Open Modules  10  2  o  o  o  o  o  o  o  
COB106  Formal Languages and Theory of Computation  10  1  o  o  o  
BSC005  Financial Reporting: Theory and Practice  10  1  x  
BSC007  Management Accounting and Control Systems  10  1  x  
BSC009  Strategic Management Accounting and Performance  10  2  x  
BSC005  Corporate Finance  10  1  o^{>=40}  o^{>=50}  
BSC018  Behavioural Finance  10  2  o^{>=40}  o^{>=50}  
BSC019  Multinational Financial Management  10  2  o^{>=50}  
BSC105  International Human Resource Management  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}  
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^{>=60}  
ECC014  Economics of the Financial System  20  1 & 2  o^{>=60}  o  
ECC038  Applied Econometrics  20  1 & 2  o^{>=60}  
ECC004  Financial Economics and Asset Pricing  20  1  x  
ECC035  Central Banking and Financial Crises  20  2  o^{>=60}  
ECC101  Developments in Macroeconomics  20  1  o^{>=60}  
ECC001  Developments in Microeconomics  20  1  o^{>=60}  
ECC005  Industrial Economics  20  2  o^{>=60}  
ECC141  Corporate Finance and Derivatives  20  2  x  
PSC715  Applied Physiology of Sports Performance  20  1+2  o^{=60}  
PSC028  Advanced Sports Biomechanics  20  1+2  o^{=60}  
PSC033  Psychology of Coaching & Physical Education  10  1  o^{=60}  
PSC020  Sport Nutrition  10  2  o^{=60}  
PSC035  Performance Psychology for Sporting Excellence  10  1  o^{=60}  
PSC027  Motor Control of Sports Movement  10  2  o^{=60}  
PSC034  Sport Psychology in Action  10  2  o^{=60}  
PSC036  Applied Exercise Psychology  10  2  o^{=60} 
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 
MAP103 
Statistics for Large Data 
15 
1 
o 
MAP104 
Brownian Motion 
15 
1 
o 
MAP111 
Mathematical Modelling I 
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 
MAP203 
Computational Methods in Finance 
15 
2 
o 
MAP204 
Stochastic Calculus and Theory of Stochastic Pricing 
15 
2 
o 
MAP211 
Mathematical Modelling II 
15 
2 
o 
MAP213 
Fluid Mechanics 
15 
2 
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 3 out of 4 core Mathematics Modules MAA140 Analysis 1, MAA150 Mathematical Methods 1, MAA142 Linear Algebra, MAA250 Mathematical Methods 2.
5.2 Progression for Mathematics and Management BSc
Part A to Part B; candidates must, in addition, achieve at least 40% in 3 out of 4 core Mathematics Modules MAA140 Analysis 1, MAA150 Mathematical Methods 1, MAA142 Linear Algebra, 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 and 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 the core Business module BSA019.
Part B to Part C; candidates must, in addition, 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 Sport 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.
5.5 Progression for Mathematics MMath (pre2019 entry)
Part A to Part B; MMath candidates must accumulate 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 accumulate 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 A, B, C or Part D. (pre2019 entry)
Any MMath candidate who fails to achieve the criteria above required for progression from Part A to Part B or Part B to Part C shall have the opportunity to repeat Module Assessments in accordance with the provisions of Regulation XX in order to progress to the subsequent Part. Alternatively, a MMath candidate may elect to enter Part B/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 Board 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 MMath Candidates 
Part B : Part C : Part D 
1 : 3 : 4 