Undergraduate | Programme Specifications

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 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	Math
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						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

MAA140

Analysis 1

10

1

x

MAA145

Mathematical Thinking

10

1

o

MAA240

Analysis 2

10

2

x

MAA251

Mechanics

10

2

x

MAB120

Communicating Mathematics

10

1

x

MAB130

An Introduction to Mathematics Education

10

1

o

x

o

MAB141

Analysis 3

10

1

x

o

x

MAB242

Abstract Algebra

10

1

o*

o

MAB150

Vector Calculus

10

2

x

o

MAB151

Mathematical Methods 3

10

1

x

MAB156

Modelling with Differential Equations

10

2

o

MAB160

Numerical Methods 1

10

1

o

MAB170

Probability Theory

10

1

o

x

o

x

MAB171

Applied Statistics

10

1

o

x

MAB232

Socio-cultural views of mathematics teaching and learning

10

2

o

x

o

MAB241

Complex Variables

10

2

x

o

x

MAB142

Vector Spaces

10

1

o*

o

MAB250

ODEs & Calculus of Variations

10

2

o*

o

MAB255

Analytical Dynamics

10

2

o

MAB260

Numerical Methods 2

10

2

o

MAB270

Statistical Modelling

10

2

o

x

o

x

MAB280

Introduction to Stochastic Processes

10

2

o

x

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

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

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

o^SS

PSB027

Motor Control of Sport Movements

10

1

o^SS

PSB029

Biomechanics of Sports Movements

10

1

o^SS

PSB031

Psychological Issues and Strategies in Sport

10

1

o^SS

PSB002

Structural Kinesiology

10

2

x

PSB026

Group and Interpersonal Processes in Competitive Sport

10

2

o^SS

PSB028

Methods of Analysis in Sports Biomechanics

10

2

o^SS

PSB033

Principles of Exercise Psychology

10

2

o^SS

4.3 Part C
Code	Name	Cr	Sem	Math	M w Ec	FM	M & Man	MA FM	M & SS	M w MEd	M w Stats
MAB141	Analysis 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	x^A o^B
MAC176	Graph Theory	10	1	o	o^=>60	o^	o ^=>40	o^=>50	o	o	o
MAC180	Discrete Stochastic Methods in Finance	10	1	o	o^=>60	x		o^=>50		o	o^A x^B
MAC197	Introduction to Differential Geometry	10	1	o		o^		o^=>50		o	o
MAC170	Medical Statistics	10	2	o	o^=>60		o ^=>40		o	o	x^A o^B
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	x^A o^B
MAC280	Continuous Stochastic Methods in Finance	10	2	o	o^=>60	x		o^=>50		o	o^A x^B
MAC297	Mathematical Biology	10	2	o	o^=>60	o^	o ^=>40	o^=>50	o	o	o
MAC298	Elements of Topology	10	2	o	o^=>60	o^	o ^=>40	o^=>50	o	o	o
Code	Name	Cred	Sem	Math	M w Ec	FM	M & Man	MAFM	M & SS	M w MEd	M w Stats
MAC300	BSc Mathematics Project	20	1 & 2	x BSc Prj
MAC302	BSc Statistics Project	30	1 & 2								x
MAC330	BSc Mathematics Education Project	30	1 & 2							x
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					x
BSC012	Issues in Management Accounting	10	2					o=>50
BSC015	Financial Management and Corporate Policy	10	1				o =>40	o=>50
BSC016	Financial Risk Management	10	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	2				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						o^SS
PSC021	Physiology of Exercise and Health	10	1						o^SS
PSC022	Sports Injuries	10	1						o^SS
PSC028	Advanced Methods of Analysis in Sports Biomechanics	10	1						o^SS
PSC033	Psychology in Physical Education & Youth Sport	10	1						o^SS
PSC020	Sport Nutrition	10	2						o^SS
PSC035	Performance Psychology for Youth Sport	10	1						o^SS
PSC027	Motor Control of Sports Movement	10	2						o^SS
PSC029	Mechanics of Sports Techniques	10	2						o^SS
COB106	Formal Languages & Theory of Computation	10	1	o						o	o
PSC034	Sport Psychology in Action	10	2						o^SS
PSC036	Applied Exercise Psychology	10	2						o^SS

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

Programme Specifications

Programme summary

1. Programme Aims

2. Relevant subject benchmark statements and other external reference points used to inform programme outcomes:

3. Programme Learning Outcomes

3.1 Knowledge and Understanding

3.2 Skills and other attributes

a. Subject-specific cognitive skills:

b. Subject-specific practical skills:

c. Key transferable skills:

4. Programme structure

5. Criteria for Progression and Degree Award

6. Relative Weighting of Parts of the Programme for the Purposes of Final Degree Classification

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