Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 222222
Loughborough University

Programme Specifications

Programme Specification

Mathematics UG Programmes

Academic Year: 2015/16

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:

  • 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 See Programme Structure
Admissions criteria

http://www.lboro.ac.uk/departments/maths/undergraduate/courses/

Date at which the programme specification was published Tue, 29 Sep 2015 19:30:00 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 ‘in-house’ 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 practically-related 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: Maths BSc Math MMath M w MEd M w Stats M w Ec FM M & Man MAFM M & SS
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 applicability of computer software to the solution of mathematical problems x x x x x x x x x
K7 The processes and pitfalls of mathematical approximation x x x x     x x x
K8 A higher-level of understanding in one or more areas of mathematics   x              
K9 How to develop and/or apply ideas in an original fashion, often within a research context.   x              
K10 Ways of conceptualising mathematics related to its history, philosophy and social context and their impact on learning outcomes     x            
K11 How learners learn and understand mathematics with particular focuses on cognition, language and communication.     x            
K12 Approaches to teaching mathematics, including a focus on technology, and how teaching relates to learning.     x            
K13 How to understand and manage variability through the science of data investigation       x          
K14 Probability-based models and their uses for making inferences from samples.       x          
K37 Fundamental concepts of statistics and inference       x          
K15 A coherent core of key economic principles         x x      
K16 The application of economics and the appreciation of economic data         x        
K17 The applicability of computer software to economic data analysis         x x      
K18 A coherent core of principles in finance           x      
K19 The principles of stochastic processes and their application to financial markets           x      
K20 Foundational disciplines of business and management             x    
K21 The development and operation of markets for resources, goods and services including customer expectations, market orientation and the marketing mix.             x    
K22 The sources, uses and management of finance, the use of accounting and other information systems for managerial applications.             x    
K23 The management and development of people within organisations             x    
K24 The development, management and exploitation of information systems and their impact upon organisations.             x    
K25 The development of appropriate strategies at the corporate level within a changing national and international environment.             x    
K26 A range of contemporary issues impacting on various areas of management.             x    
K27 Business organisations in their economic, fiscal, legal and political contexts               x  
K28 Accounting and financial managament in their major contexts, including the legal and social environments, the business entity and capital markets and the integral nature of the accounting fuction in the successful management of organisations.               x  
K29 Current technical language, developments, methods, practices and issues in accounting and financial management               x  
K30 Selected alternative techniques and practices in accounting and financial management               x  
K31 Methods of recording and summarising economic events and preparation of financial statements               x  
K32 Analytical tools for the effective financial management of business operations               x  
K33 Contemporary theories of accounting and financial management and their related research evidence               x  
K34 An ability to reflect critically upon approaches to the acquisition, interpretation and analysis of information in a variety of sport contexts.                 x
K35 Knowledge and understanding of sport-related behaviour through critical evaluation of both academic and professional practices.                 x
K36 One or more of the following, depending on module choice:  1.An understanding of human structure and function addressed in multi-discipline based enquiry   2.  An ability to appraise and evaluate 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. Subject-specific cognitive skills:
On successful completion of this programme, students should be able to: Math BSc Math Mmath M w MEd M w Stats M w Ec Fin Maths M & Man MAFM M & SS
C1 Demonstrate knowledge of key mathematical concepts and topics 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 Design and evaluate approaches to teaching mathematics and recognise how teaching approaches have influenced a student's own learning     x            
C5 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 disadgantages lives in particular cases or groups     x            
C7 Demonstrate knowledge of the core of economic theory and applied economics         x        
C8 Demostrate knowledge of the techniques of stochastic analysis that are used to model financial markets           x      
C9 Conduct research using a range of sources of business-related materials             x    
C10 Comprehend and abstract the essentials of problems in accounting and finance               x  
C11 Reflect critically on the central themes and issue in modules within the programme                 x
C12 Critically assess and interpret evidence from data and text derived from sport-related enquiry                 x
C13 Present a reasoned argument to assess the merits of contrasting theories, explanations and instructional models                 x
C14 Relate theory to practice in sport and exercise                 x
C15 Apply knowledge to solve problems in a variety of laboratory and sport-based practicals                 x
b. Subject-specific practical skills:
On successful completion of this programme, students should be able to: Maths BSc Math Mmath M w MEd M w Stats M w Ec Fin Maths M & Man MAFM M & SS
P1 Construct and develop logical mathematical arguments with clear identification of assumptions and conclusions x x x x x x x   x
P2 Select and apply the appropriate mathematical tools to solve problems x x x x x x x x x
P3 Apply knowledge of key mathematical concepts and topics to problems in mathematics and its applications x x x x          
P4 Apply knowledge and problem-solving abilities in new or unfamiliar environments   x              
P5 Design and evaluate approaches to learning and teaching mathematics both as observers and teachers     x            
P6 Select and apply appropriate statistical tools to solve problems       x          
P7 Design and conduct experimental and observational studies and analyse the data resulting from them.       x          
P8 Apply knowledge of key statistical concepts and topics to problems       x          
P9 Apply core economic theory and economic reasoning to applied topics         x        
P10 Use appropriate techniques to enable manipulation, treatment and interpretation of relevant statistical and economic data to solve problems         x        
P11 Formulate and solve problems in business using appropriate tools             x    
P12 Use critical thinking, analysis and synthesis to evaluate and apply concepts and insights from business disciplines, including comprehention of complex scenarios             x    
P13 Advise on business decisions using appropriate qualitative and quantitative skills, including the ability to indentify and evaluate a range of alternative scenarios             x    
P14 Relate theory to practice in business and management             x    
P15 Formulate and solve problems in accounting and finance using appropriate tools               x  
P16 Record and summarise transactions and other economic events               x  
P17 Prepare financial statements               x  
P18 Use appropriate analytical tools for accounting and financial management tasks               x  
c. Key transferable skills:
 On successful completion of this programme, students should be able to: Maths BSc Math Mmath M w MEd M w Stats M w Ec Fin Maths M & Man MAFM M & SS
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 Be confident in situations that require numeracy 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 self-directed   x              
T7 Work with others in collaborative ways     x            
T8 Empathise with 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 appropriate 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

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 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

G1N2

G1NF

 

 

Mathematics, Accounting and Financial Management

G1N4

G1NK

 

 

Mathematics and Sports Science

CG61

GC16

 

 

Mathematics with Mathematics Education

G1X3

G1XH

 

 

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

^          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 >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)

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. 

 

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 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    
PSA020  Introduction to Human and Exercise Physiology  10  1              
PSA028 Biomechanics of Sport 10 1           x    
PSA026 Foundations of Sport and Exercise Psychology 10 2           x    
PSA027  Acquiring Movement Skills  10  2              

 

 

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        
MAA240 Analysis 2 10 2         x x    
MAA251 Mechanics 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 3 10 1 x o x       x x
MAB242 Abstract Algebra 10 1 o* o   o     o o
MAB150 Vector Calculus 10 2 x           x o
MAB151 Mathematical Methods 3 10 1 x x x x x x x x
MAB156 Modelling with Differential Equations 10 2 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 Socio-cultural views of mathematics teaching and learning 10 2 o           x o
MAB241 Complex Variables 10 2 x o   o     x x
MAB142 Vector Spaces 10 1 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
MAB270 Statistical Modelling 10 2 o x x x o o o x
MAB280 Introduction to Stochastic Processes 10 2 o   x   o   o oA xB
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      
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 20 1 & 2           oSS    
PSB027 Motor Control of Sport Movements 10 1           oSS    
PSB029 Biomechanics of Sports Movements 10 1           oSS    
PSB031 Psychological Issues and Strategies in Sport 10 1           oSS    
PSB002 Structural Kinesiology 10 2           x    
PSB026 Group and Interpersonal Processes in Competitive Sport 10 2           oSS    
PSB028 Methods of Analysis in Sports Biomechanics 10 2           oSS    
PSB033 Principles of Exercise Psychology 10 2           oSS    

 

 

 

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    
MAB150 Vector Calculus 10 1   o=>60   o =>40        
MAB156 Modelling with Differential Equations 10 2   o=>60   o =>40   o    
MAB160 Numerical Methods 1 10 1     o^   o=>50      
MAB142  Vector Spaces 10   2         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
MAC175 Operational Research 10 1 o o=>60 o^ o =>40 o=>50 o o xA oB
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 oA xB
MAC197 Introduction to Differential Geometry 10 1 o   o^   o=>50   o o
MAC170 Medical Statistics  10  2  o o=>60   o =>40    o xA oB
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  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 xA oB
MAC280 Continuous Stochastic Methods in Finance 10 2 o o=>60 x   o=>50   o oA xB
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  
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
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
PHC130 Fundamentals of Quantum Information 10 1 o           o o
BSC005 Financial Reporting: Theory and Practice 10 1         x      
BSC008 Strategic Management Accounting; structure, processes and roles 10 1         x      
BSC009 Strategic Management Accounting and Performance 10  2              
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 1         o=>50      
BSC018 Behavioural Finance 10 2       o =>40 o=>50      
BSC025 Auditing 10 2         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        
BSC140  Lean Operations  10        o =>40        
Code Name Cred Sem Math M w Ec FM M & Man MA FM 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 10 1           oSS    
PSC022 Sports Injuries 10 1           oSS    
PSC028  Advanced Methods of Analysis in Sports Biomechanics 10            oSS     
PSC033 Psychology in Physical Education & Youth Sport 10 1           oSS    
PSC020  Sport Nutrition  10 2            oSS    
PSC035 Performance Psychology for Youth Sport 10 1           oSS    
PSC027 Motor Control of Sports Movement 10 2           oSS    
PSC029 Mechanics of Sports Techniques 10 2           oSS    
COB106 Formal Languages & Theory of Computation 10 1 o           o o
PSC034 Sport Psychology in Action 10 2           oSS    
PSC036 Applied Exercise Psychology 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 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, 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 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.

 

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 re-assessment 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 re-assessment 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

 

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