Programme Specification
Mathematics UG Programmes (2019 and 2020 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 Accounting and Financial Management; Mathematics and Sport Science; Mathematics with Statistics 
Programme code  See Programme Structure 
Length of programme  
UCAS code  See Programme Structure 
Admissions criteria  http://www.lboro.ac.uk/departments/maths/undergraduate/courses/ 
Date at which the programme specification was published  Sun, 02 Aug 2020 09:45:59 BST 
1. Programme Aims
Programme Aims MAUB10 Mathematics BSc:
 To ensure students have a thorough grounding in the fundamental branches of mathematics and allow students to meet their own aspirations, interests and educational needs through module selection.
 To provide students with indepth training in advanced techniques of modern mathematics.
 To enhance student's intellectual skills associated with problem solving, rigorous argument and communication of mathematical concepts.
 To prepare students to embark on research in mathematics and statistics.
 To educate new mathematicians to meet the needs of employers in industry, finance, education, academic research and public service.
Programme Aims MAUM10 Mathematics MMath:
 To ensure students have a thorough grounding in the fundamental branches of mathematics and allow students to meet their own aspirations, interests and educational needs through module selection.
 To provide students with indepth training in advanced techniques of modern mathematics.
 To enhance student's intellectual skills associated with problem solving, rigorous argument and communication of mathematical concepts.
 To prepare students to embark on research in mathematics and statistics.
 To educate new mathematicians to meet the needs of employers in industry, finance, education, academic research and public service.
 To provide students with a solid foundation for PhD programmes in this and other Universities.
Programme Aims MAUB20 Mathematics with Economics BSc:
 To ensure students have a thorough grounding in the fundamental branches of mathematics and allow students to meet their own aspirations, interests and educational needs through module selection.
 To provide a comprehensive education in economics and in financial mathematics.
 To enhance student's intellectual skills associated with problem solving, rigorous argument and communication of mathematical concepts.
 To prepare students to embark on research in mathematics and statistics.
 To educate new mathematicians to meet the needs of employers in industry, finance, education, academic research and public service.
Programme Aims MAUB21 Financial Mathematics BSc:
 To ensure students have a thorough grounding in the fundamental branches of mathematics and allow students to meet their own aspirations, interests and educational needs through module selection.
 To provide a comprehensive education in financial mathematics and in economics.
 To enhance student's intellectual skills associated with problem solving, rigorous argument and communication of mathematical concepts.
 To prepare students to embark on research in mathematics and statistics.
 To educate new mathematicians to meet the needs of employers in industry, finance, education, academic research and public service.
Programme Aims MAUB23 Mathematics and Accounting and Financial Management BSc:
 To ensure students have a thorough grounding in the fundamental branches of mathematics and allow students to meet their own aspirations, interests and educational needs through module selection.
 To develop a deep understanding and apply skills from accounting, business and financial management.
 To enhance student's intellectual skills associated with problem solving, rigorous argument and communication of mathematical concepts.
 To prepare students to embark on research in mathematics and statistics.
 To educate new mathematicians to meet the needs of employers in industry, finance, education, academic research and public service.
Programme Aims MAUB25 Mathematics and Sport Science BSc:
 To ensure students have a thorough grounding in the fundamental branches of mathematics and allow students to meet their own aspirations, interests and educational needs through module selection.
 To introduce students to a broad sport science curriculum grounded in the study of sport, exercise science and pedagogy.
 To provide students with indepth training in advanced techniques of modern mathematics.
 To enhance student's intellectual skills associated with problem solving, rigorous argument and communication of mathematical concepts.
 To prepare students to embark on research in mathematics and statistics.
 To educate new mathematicians to meet the needs of employers in industry, finance, education, academic research and public service.
Programme Aims MAUB29 Mathematics with Statistics BSc:
 To ensure students have a thorough grounding in the fundamental branches of mathematics and statistics and allow students to meet their own aspirations, interests and educational needs through module selection.
 To provide students with indepth training in advanced techniques of modern mathematics.
 To enhance student's intellectual skills associated with problem solving, rigorous argument and communication of mathematical concepts.
 To prepare students to embark on research in mathematics and statistics.
 To educate new mathematicians to meet the needs of employers in industry, finance, education, academic research and public service.
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 all mathematics programmes, students should be able to demonstrate knowledge and understanding of:
K1 The core discipline of Calculus
K2 The core discipline of Linear Algebra
K3 The role of proof and deductive reasoning in mathematics
K4 The formulation of problems in mathematical form
K5 A range of analytical, numerical and qualitative techniques
In addition, for Mathematics BSc (MAUB10):
K6 The processes and pitfalls of mathematical approximation
In addition, for Mathematics MMath (MAUM10):
K6 The processes and pitfalls of mathematical approximation
K7 A higherlevel of understanding in one or more areas of mathematics
In addition, for Mathematics with Economics BSc (MAUB20):
K14 A coherent core of economic principles
K15 The application of economics
In addition, for Financial Mathematics BSc (MAUB21):
K14 A coherent core of economic principles
K16 A coherent core of principles in finance
K17 The principles of stochastic processes and their application to financial markets
In addition, for Mathematics and Accounting and Financial Management BSc (MAUB23):
K6 The processes and pitfalls of mathematical approximation
K25 Business organisations in their technological, economic, fiscal, legal and political contexts
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.
K27 Current technical language, developments, methods, practices and issues in accounting and financial management
K28 Selected alternative techniques and practices in accounting and financial management
K29 Methods of recording and summarising economic events and preparation of financial statements
K30 Analytical tools for the effective financial management of business operations
K31 Contemporary theories of accounting and financial management and their related research evidence
In addition, for Mathematics and Sport Science BSc (MAUB25):
K6 The processes and pitfalls of mathematical approximation
K32 key subjectspecific terminology, concepts and models in the core disciplines of physiology, biomechanics, and psychology;
K33 methods, theories and empirical findings related to the study of participants (e.g. athletes, patients and the wider population) in sport and exercise contexts, and how such study informs the performance, health and wellbeing of stakeholders in such contexts;
K34 research design (including safety, risk, and ethical considerations), measurement techniques, and the nature and appropriate statistical analysis of data including qualitative and quantitative methods;
K35 the physiological limitations to performance in sport and exercise, and the chronic physiological adaptations (including mechanisms of adaptation) to exercise and training;
K36 the links between human nutrition, metabolism, performance and health in sport and exercise;
K37 the mechanics of human motion, especially as related to sporting performance;
K38 the mechanisms involved in the control of human movement with particular reference to sports movements;
K39 the psychological and behavioural theories and principles that relate to sport performance and exercise participation;
In addition, for Mathematics with Statistics BSc (MAUB29):
K6 The processes and pitfalls of mathematical approximation
K11 How to understand and manage variability through the science of data investigation
K12 Probabilitybased models and their uses for making inferences from samples.
K13 Fundamental concepts of statistics and inference
3.2 Skills and other attributes
a. Subjectspecific cognitive skills:
On successful completion of all mathematics programmes, students should be able to:
C1 Construct and develop logical mathematical arguments with clear identification of assumptions and conclusions
C2 Comprehend problems, abstract the essentials of problems and formulate them mathematically
In addition, for Mathematics MMath (MAUM10):
C4 Develop and/or apply ideas in an original fashion, often within a research context
In addition, for Mathematics with Economics BSc (MAUB20):
C7 Critically analyse economic principles and problems
In addition, for Mathematics and Accounting and Financial Management BSc (MAUB23):
C10 Relate theory to practice in business and management
C12 Analyse, model and solve structured and unstructured problems
In addition, for Mathematics and Sport Science BSc (MAUB25):
C13 apply knowledge and understanding of essential facts, key concepts, principles and theories to solve problems and debate critical issues within the subject area
C14 critically assess and interpret evidence derived from sport and exercise related enquiry;
C15 critically reflect upon approaches to the acquisition, interpretation and analysis of information in a variety of sport and exercise contexts;
C16 identify and solve scientific problems in Sport and Exercise Science;
C17 collate, critically evaluate and interpret scientific Sport and Exercise Science information and arguments in a coherent and organised way appropriately adapted to a specific type of audience;
In addition, for Mathematics with Statistics BSc (MAUB29):
C18 Describe and comment on sources of variability in data
C19 Evaluate the quality of data and data analysis
b. Subjectspecific practical skills:
On successful completion of the Mathematics BSc (MAUB10) programme, students should be able to:
P1 Select and apply appropriate mathematical tools to solve problems
P2 Apply knowledge of key mathematical concepts and topics to problems in mathematics and its applications
P3 Apply appropriate computer software to aid the solution of mathematical problems
On successful completion of the Mathematics MMath (MAUM10) programme, students should be able to:
P1 Select and apply appropriate mathematical tools to solve problems
P2 Apply knowledge of key mathematical concepts and topics to problems in mathematics and its applications
P3 Apply appropriate computer software to aid the solution of mathematical problems
P4 Apply knowledge and problemsolving abilities in new or unfamiliar environments
On successful completion of the Mathematics with Economics BSc (MAUB20) programme, students should be able to:
P1 Select and apply appropriate mathematical tools to solve problems
P3 Apply appropriate computer software to aid the solution of mathematical problems
P10 Apply core economic theory and economic reasoning to applied topics
P11 Construct economic and statistical models
On successful completion of the Financial Mathematics BSc (MAUB21) programme, students should be able to:
P1 Select and apply appropriate mathematical tools to solve problems
P3 Apply appropriate computer software to aid the solution of mathematical problems
P12 Apply the techniques of stochastic analysis that are used to model financial markets
On successful completion of the Mathematics and Accounting and Financial Management BSc (MAUB23) programme, students should be able to:
P1 Select and apply appropriate mathematical tools to solve problems
P3 Apply appropriate computer software to aid the solution of mathematical problems
P14 Formulate and solve problems in accounting and finance using appropriate tools
P15 Record and summarise transactions and other economic events
P16 Prepare financial statements
P17 Use appropriate analytical tools for accounting and financial management tasks
On successful completion of the Mathematics and Sport Science BSc (MAUB25) programme, students should be able to:
P1 Select and apply appropriate mathematical tools to solve problems
P18 observe, record and critically evaluate human performance in a range of sport and exercise contexts;
P19 apply a broad range of laboratory and fieldbased practical investigative techniques to the study of sport and exercise, including data collection, data analysis, statistical evaluation, hypotheses formulating and testing;
P20 apply health, safety and ethical considerations to sport and exercise experimentation, research and professional practice;
P21 demonstrate effective interpersonal skills appropriate for working in sport and exercise contexts;
On successful completion of the Mathematics with Statistics BSc (MAUB29) programme, students should be able to:
P1 Select and apply appropriate mathematical tools to solve problems
P2 Apply knowledge of key mathematical concepts and topics to problems in mathematics and its applications
P3 Apply appropriate computer software to aid the solution of mathematical problems
P6 Select and apply appropriate statistical tools to solve problems
P7 Design experimental and observational studies and anaylse the data resulting from them
P8 Apply knowledge of key statistical concepts and topics to problems
P9 Communicate the results of statistical investigation clearly and accurately
c. Key transferable skills:
On successful completion of all mathematics programmes, students should be able to:
T1 Learn independently using a variety of media
T2 Manage time effectively and organise and prioritise tasks
T3 Apply highlydeveloped numeracy skills in a range of contexts
T4 Work competently with IT
T5 Communicate complex information effectively
In addition, for Mathematics MMath (MAUM10):
T6 Study in a manner that is largely selfdirected
In addition, for Mathematics and Accounting and Financial Management BSc (MAUB23):
T9 Communicate quantitative and qualitative information, analysis, argument and conclusions in effective ways
T10 Gather relevant data and evidence from various sources, integrate them appropriately and reference sources appropriately
T11 Critically evaluate arguments and evidence
T12 generate, organise, analyse and interpret qualitative, numerical, statistical or other forms of data effectively;
T13 demonstrate computer literacy with respect to relevant and widely used wordprocessing, database and analytic software packages and resources;
T14 use electronic and other resources to search for, identify and organise information from library books, journals, and appropriate online sources;
T15 work independently and in groups to solve problems, find alternative solutions, reach common goals and evaluate outcomes;
T16 deploy critical judgements and evaluations to arrive at supported conclusions;
T17 learn independently and pragmatically and take responsibility for their own learning and skill development.
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 
MAUB23 
Mathematics and Accounting and Financial Management 
MAFM 
MAUB25 
Mathematics and Sport Science 
M & SS 
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 Accounting and Financial Management 
G1N4 
G1NK 


Mathematics and Sport Science 
CG61 
GC16 


Mathematics with Statistics 
GG13 
GG1H 


Programme Structure
Key
x Compulsory Module
o Optional Module
* Module is compulsory for MMath Candidates
# Module available to BSc candidates only
~ Only available if the candidate has not taken the same 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.
MMath Prj MMath Candidates must take MACxxx Advanced Mathematics Report in Part C.
o>=n Indicates the minimum number of optional module credits to be taken in that subject (subject indicated by first two letters of module code) excluding any compulsory modules in taht subject (if appicable).
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
Optional modules are subject to availability and timetable permitting.
Modules may be offered in both Parts B and C, but may only be taken in Part C if not taken in Part B.
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.
4.1 Part A  
Code  Module Title  Cred  Sem  Math  M w Ec  FM  MAFM  M & SS  M w Stats 
MAA140  Analysis 1  10  1  x  x  x  x  
MAA142  Linear Algebra 1  10  1  x  x  x  x  x  x 
MAA145  Mathematical Thinking  10  1  x  x  
MAA150  Mathematical Methods 1  10  1  x  x  x  x  x  x 
MAA360  Computing and Numerical Methods  20  1&2  x  x  
MAA240  Analysis 2  10  2  x  x  x  x  
MAA242  Geometry and Groups  10  2  x  x  
MAA250  Mathematical Methods 2  10  2  x  x  x  x  x  x 
MAA241  Linear Algebra 2  10  2  x  x  x  x  x  x 
MAA251  Mechanics  10  2  x  x  x  x  x  x 
MAA270  Introductory Probability and Statistics  10  1  x  x  x  x  x  x 
BSA012  Financial Accounting Fundamentals  20  1&2  x  
BSA020  Microeconomics for Financial Studies  10  1  x  
BSA016  Principles of Finance  10  2  x  
BSA022  Macroeconomics for Financial Studies  10  2  x  
BSA025  Introduction to Law  10  1  x  
ECA501  Introduction to Macroeconomics  20  1 & 2  x  x  
ECA502  Introduction to Microeconomics  20  1 & 2  x  x  
PSA606  Anatomy and Physiology 1  20  1 & 2  x  
PSA721  Introduction to Sport Biomechanics and Kinesiology  20  1 & 2  x  
PSA026  Foundations of Sport and Exercise Psychology  20  2  x 
4.2 Part B  
Code  Name  Cred  Sem  Math  M w Ec  FM  MAFM  M & SS  M w Stats  
MAA143  Analysis 1  10  1  x  x  
MAA145  Mathematical Thinking  10  1  o  
MAA360  Computing and Numerical Methods  20  1&2  o  
MAA243  Analysis 2  10  2  x  x  
MAB120  Communicating Mathematics  10  2  x  x  
MAB130  An Introduction to Mathematics Education  10  1  o  
MAB141  Analysis 3  10  1  x  o  x  x  
MAB151  Mathematical Methods 3  10  1  x  x  x  x  x  x  
MAB143  Rings and Polynomials  10  1  x  o  o  
MAB170  Probability Theory  10  1  x  x  x  x  x  x  
MAB171  Applied Statistics  10  1  o  o  o  x  
MAB197  Introduction to Differential Geometry  10  1  x  o  o  o  
MAB260  Advanced Numerical Methods  10  1  o  o  
MAB241  Complex Analysis  10  2  x  x  x  x  
MAB250  ODEs & Calculus of Variations  10  2  x  o  x  x  o  x  
MAB255  Analytical Dynamics  10  2  x  o  o  o  
MAB270  Statistical Modelling  10  2  o  x  x  o  x  
MAB280  Introduction to Stochastic Processes  10  2  o  x  x  x  
MAB298  Elements of Topology  10  2  x  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  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  
BSB005  Management Accounting  20  1 & 2  x  
BSB015  Company Law  10  2  x  
BSB007  Financial Reporting  10  1  x  
BSB029  Auditing  10  2  x  
BSB027  Financial Markets and Derivatives Fundamentals  10  2  x  
ECB501  Intermediate Macroeconomics  20  1 & 2  o^{>=20}  x  
ECB502  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  
PSB713  Physiology of Exercise and Training  20  1 & 2  x  
PSB722  Biomechanics of Sport  20  1 & 2  x  
PSB733  Expert Performance of Sport  20  1  x 
4.3 Part C  
Code  Name  Cr  Sem  Math  M w Ec  FM  MA FM  M & SS  M w Stats 
MAB141  Analysis 3  10  1  o^{>=50}  o  
MAB143  Rings and Polynomials  10  1  o^{>=30}  o^{>=50}  o  
MAB171  Applied Statistics  10  1  o^{>=30}  
MAB197  Introduction to Differential Geometry  10  1  o^{~>=60}  o^{>=30}  o^{~>=50}  o^{~}  
MAB260  Advanced Numerical Methods  10  1  o^{>=60}  
MAB241  Complex Analysis  10  2  o^{>=30}  o^{>=50}  
MAB250  ODEs and Calculus of Variations  10  2  o^{>=60}  o^{>=30}  o^{~}^{}  
MAB258  Elements of Topology  10  2  o^{>=60}  o^{>=30}  o^{>=50}  o  o^{~}  
MAC147  Number Theory  10  1  o  o^{>=60}  o^{>=30}  o^{>=50}  o  o 
MAC148  Introduction to Dynamical Systems  10  1  o  o^{>=30}  o^{>=50}  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^{>=50}  o  o 
MAC176  Graph Theory  10  1  o  o^{>=60}  o^{>=30}  o^{>=50}  o  o 
MAC180  Stochastic Methods in Finance  10  1  o  o^{>=60}  x  o^{>=50}  o  
MAC142  Introduction to Algebraic Geometry  10  1  o  o^{>=60}  o  
MAC170  Medical Statistics  10  2  o  o^{>=50}  o  x^{}  
MAC200  Mathematics Report  10  2  x ^{BSc Prj}  
MAC2xx  Advanced Mathematics Report  10  2  x^{MMath Prj}  
MAC233  Studies in Science and Mathematics Education  10  2  o  o^{>=60}  o^{>=50}  o  o  
MAC241  Advanced Complex Analysis  10  2  o  o^{>=60}  ^{ }  o  o  
MAC249  Linear Differential Equations  10  2  o*  o^{>=60}  x  o^{>=50}  o  o 
MAC251  Vibrations and Waves  10  2  o  o^{>=30}  o  
MAC260  Elliptic Curves  10  2  o  o^{>=60}  o  
MAC281  Computational Methods in Finance  10  2  o  o^{>=60}  x  o^{>=50}  o  
MAC297  Mathematical Biology  10  2  o  o^{>=30}  o^{>=50}  o  o  
MAC300  BSc Mathematics Project  20  1 & 2  x^{ BSc Prj}  
MAC302  Statistics 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  
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  
COB106  Formal Languages and Theory of Computation  10  1  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  
BSC015  Corporate Finance  10  2  o^{>=50}  
BSC018  Behavioural Finance  10  2  o^{>=50}  
BSC019  Multinational Financial Management  10  2  o^{>=50}  
BSC520  Business Systems  10  1  o^{>=50}  
BSC522  Entrepreneurship and Innovation  10  1  o^{>=50}  
ECC013  International Economic Relations  20  1 & 2  o^{>=40}  
ECC014  Economics of the Financial System  20  1 & 2  o^{>=40}  o  
ECC004  Financial Economics and Asset Pricing  20  1  x  
ECC038  Applied Econometrics  20  1  o^{>=40}  
ECC035  Central Banking and Financial Crises  20  2  o^{>=40}  
ECC101  Developments in Macroeconomics  20  1  o^{>=40}  
ECC001  Developments in Microeconomics  20  1  o^{>=40}  
ECC005  Industrial Economics  20  2  o^{>=40}  
ECC141  Corporate Finance and Derivatives  20  2  x  
PSC715  Physiology of Sport, Exercise and Health  20  1 & 2  x  
PSC028  Advanced Biomechanics of Sport  20  1 & 2  x  
PSCxxx  Applied Psychology in Competitive Sport  20  1 & 2  x 
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 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, MAAxxx Linear Algebra 2.
5.2 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 1, and MAAxxx Linear Algebra 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.
5.3 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 1 and MAAxxx Linear Algebra 2.
5.4 MMath candidates who fail at the end of Part A, B, C or Part D.
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 provision 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, is 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 