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

Programme Specifications

Programme Specification

Mathematics UG Programmes

Academic Year: 2014/15

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
Admissions criteria

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

Date at which the programme specification was published Fri, 26 Sep 2014 16:40:24 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:

Math BSc

Math MMath

M w Ec

FM

M & Man

MAFM

M & SS

M w MEd

M w Stats

K1

The core disciplines of Calculus and Linear Algebra.

x

x

x

x

x

x

x

x

x

K2

The role of proof and deductive reasoning in mathematics.

x

x

x

x

x

x

x

x

x

K3

The formulation of problems in mathematical form.

x

x

x

x

x

x

x

x

x

K4

A range of analytical, numerical, and qualitative techniques.

x

x

x

x

x

x

x

x

x

K5

The applicability of computer software to the solution of mathematical problems.

x

x

 

 

x

x

x

x

x

K6

The processes and pitfalls of mathematical approximation.

x

x

 

 

x

x

x

x

x

K7

A higher-level of understanding in one or more areas of mathematics.

 

x

 

 

 

 

 

 

 

K8

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

 

x

 

 

 

 

 

 

 

K9

A coherent core of key economic principles.

 

 

x

 

 

 

 

 

 

K10

The application of economics and the appreciation of economic data.

 

 

x

 

 

 

 

 

 

K11

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

 

 

x

x

 

 

 

 

 

K12

A coherent core of principles in economics and finance.

 

 

 

x

 

 

 

 

 

K13

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

 

 

 

x

 

 

 

 

 

K14

Foundational disciplines of business and management;

 

 

 

 

x

 

 

 

 

K15

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

 

 

 

 

x

 

 

 

 

K16

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

 

 

 

 

x

 

 

 

 

K17

The management and development of people within organisations

 

 

 

 

x

 

 

 

 

K18

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

 

 

 

 

x

 

 

 

 

K19

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

 

 

 

 

x

 

 

 

 

K20

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

 

 

 

 

x

 

 

 

 

K21

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

 

 

 

 

 

x

 

 

 

K22

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

 

 

 

 

 

x

 

 

 

K23

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

 

 

 

 

 

x

 

 

 

K24

Selected alternative techniques and practices in accounting and financial management;

 

 

 

 

 

x

 

 

 

K25

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

 

 

 

 

 

x

 

 

 

K26

Analytical tools for the effective financial management of business operations;

 

 

 

 

 

x

 

 

 

K27

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

 

 

 

 

 

x

 

 

 

K28

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

 

 

 

 

 

 

x

 

 

K29

Knowledge and understanding of sport-related behaviour through critical evaluation of both academic and professional practices.

 

 

 

 

 

 

x

 

 

K30

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

 

 

K31

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

 

 

 

 

 

 

 

x

 

K32

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

 

 

 

 

 

 

 

x

 

K33

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

 

 

 

 

 

 

 

x

 

K34

Understanding and managing variability through the science of data investigation.

 

 

 

 

 

 

 

 

x

K35

Formulating probability-based models in order to make inferences from samples.

 

 

 

 

 

 

 

 

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 Ec

FM

M & Man

MAFM

M & SS

M w MEd

M w Stats

C1

Demonstrate knowledge of key mathematical concepts and topics

x

x

x

x

x

x

x

x

 

C2

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

x

x

 

x

x

 

x

x

x

C3

Demonstrate knowledge of the core of economic theory and applied economics

 

 

x

 

 

 

 

 

 

C4

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

 

 

 

x

 

 

 

 

 

C5

Conduct research using a range of sources of business-related materials

 

 

 

 

x

 

 

 

 

C6

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

 

 

 

 

 

x

 

 

 

C7

Select and apply the appropriate mathematical tools to solve problems

 

 

 

 

 

 

x

 

 

C8

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

 

 

 

 

 

 

x

 

 

C9

Critically assess and interpret evidence from data and text derived from sport-related enquiry

 

 

 

 

 

 

x

 

 

C10

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

 

 

 

 

 

 

x

 

 

C11

Relate theory to practice in sport and exercise

 

 

 

 

 

 

x

 

 

C12

Apply knowledge to solve problems in a variety of laboratory and sport-based practicals

 

 

 

 

 

 

x

 

 

C13

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

 

 

 

 

 

 

 

x

 

C14

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

 

 

 

 

 

 

 

x

 

C15

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

 

 

 

 

 

 

 

x

 

C16

Demonstrate knowledge of key mathematical and statistical concepts and topics

 

 

 

 

 

 

 

 

x

b. Subject-specific practical skills:

On successful completion of this programme, students should be able to:

Math BSc

Math MMath

M w Ec

FM

M & Man

MAFM

M & SS

M w MEd

M w Stats

P1

 

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

x

x

x

x

x

 x

x

x

P2

 

Select and apply the appropriate mathematical tools to solve problems

x

x

 

x

 

 

 

x

 

P3

 

Apply knowledge and problem-solving abilities in new or unfamiliar environments

 

x

 

 

 

 

 

 

 

P4

 

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

 

 

x

 

 

 

 

 

 

P5

 

Apply core economic theory and economic reasoning to applied topics

 

 

x

 

 

 

 

 

 

P6

 

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

 

 

x

 

 

 

 

 

 

P7

 

Formulate and solve problems in mathematics and business using appropriate tools

 

 

 

 

x

 

 

 

 

P8

 

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

 

 

 

 

x

 

 

 

 

P9

 

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

 

 

 

 

x

 

 

 

 

P10

 

Relate theory to practice in business and management

 

 

 

 

x

 

 

 

 

P11

 

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

 

 

 

 

 

x

 

 

 

P12

 

Record and summarise transactions and other economic events

 

 

 

 

 

 

x

 

 

 

P13

 

Prepare financial statements

 

 

 

 

 

x

 

 

 

 

P14

 

Use appropriate analytical tools for accounting and financial managements tasks

 

 

 

 

 

 

x

 

 

 

P15

 

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

 

 

 

 

 

 

x

 

 

P16

 

Critically evaluate arguments and evidence

 

 

 

 

 

 

x

 

 

P17

 

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

 

 

 

 

 

 

 

x

 

P18

 

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

 

 

 

 

 

 

 

x

 

P19

 

Select and apply the appropriate mathematical and statistical tools to solve problems

 

 

 

 

 

 

 

 

x

P20

 

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

 

 

 

 

 

 

 

 

x

P21

 

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

 

 

 

 

 

 

 

 

x

c. Key transferable skills:

On successful completion of this programme, students should be able to:

Math BSc

Math MMath

M w Ec

FM

M & Man

MAFM

M & SS

M w MEd

M w Stats

T1

 

Possess general study skills, including the ability to learn independently using a variety of media

x

x

x

x

x

x

x

x

x

T2

 

Have good time-management and organisational skills

x

x

x

x

x

x

x

x

x

T3

 

Have highly developed skill of numeracy

x

x

x

x

x

x

x

x

x

T4

 

Have general IT skills

x

x

x

x

x

x

x

x

x

T5

 

Have good communication skills

x

x

x

x

x

x

x

x

x

T6

 

Have the ability to study in a manner that is largely self-directed

 

x

 

 

 

 

 

 

 

T7

 

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

 

 

 

 

 

x

 

 

 

T8

 

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

 

 

 

 

 

x

 

 

 

T9

 

Critically evaluate arguments and evidence

 

 

 

 

 

x

 

 

 

T10

 

Be able to work with others in collaborative ways

 

 

 

 

 

 

 

x

 

T11

 

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

 

 

 

 

 

 

 

x

 

 

4. Programme structure

Programme title and code

Programme Code

Title

Abbreviation

MAUB10

Mathematics BSc

Math

MAUM10

Mathematics MMath

MAUB20

Maths with Economics

M w Ec

MAUB21

Financial Mathematics

FM

MAUB22

Maths and Management

M & Man

MAUB23

Maths, Accounting and Financial Management

MAFM

MAUB25

Maths and Sport Science

M & SS

MAUB28

Mathematics with Mathematics Education

M w MEd

MAUB29

Mathematics with Statistics 

M w Stats

 

Programme Structure 

Key

x          Compulsory Module

o          Optional Module

*           Module is compulsory for MMath Candidates

#          Module available to BSc candidates only

^          In Part C, candidates must choose Mathematics modules of total weight at least 60, Economics modules of total weight at least 40 to make up a total modular weight of 120.

BSc Prj           BSc Candidates must register for either MAC300 BSc Mathematics Project (20 credits) in Semesters 1 and 2 or MAC200 Mathematics Report (10 credits) in Semester 2. In order to study MAC300 candidates will normally be required to have achieved a Part B average >65%. MMath candidates do not study MAC300 or MAC200.

o=>n   Indicates the minimum number of credits to be taken in that subject (subject indicate by first two letters of module code)

oSS     Sports Science optional modules to be chosen such that total modular weight for the year including compulsory modules is 60 and the minimum modular weight in either semester including both Physical Education and Sports Science modules and Mathematics modules, is 50.

xA oB and oA xB      Candidates on Mathematics with Statistics must choose a path (A or B) for their degree, this will dictate their compulsory modules in Parts B and C.

 

Total Modular Weighting per Semester

Students normally study modules with a total weight of 60 in each semester.  However, in Part C, students may be allowed to study modules up to a total weight of 70 in a semester, 120 in the Part, subject to the consent of the Head of Department. 

 

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

BSA017

Financial Accounting

20

1

 

 

 

 

x

 

 

 

BSA020

Microeconomics for Financial Studies

10

1

 

 

 

 

x

 

 

 

BSA505

Organisational Behaviour

10

1

 

 

 

x

 

 

 

 

BSA525

Introduction to Accounting

10

1

 

 

 

x

 

 

 

 

BSA019

Accounting in Context

10

2

 

 

 

 

x

 

 

 

BSA022

Macroeconomics for Financial Studies

10

2

 

 

 

 

x

 

 

 

BSA025

Introduction to Law

10

2

 

 

 

 

x

 

 

 

BSA506

Management of Human Resources

10

2

 

 

 

x

 

 

 

 

BSA526

Accounting for Managers

10

2

 

 

 

x

 

 

 

 

ECA001

Principles of Macroeconomics

20

1 & 2

 

x

x

 

 

 

 

 

ECA002

Principles of Microeconomics

20

1 & 2

 

x

x

 

 

 

 

 

PSA001

Teaching and Coaching 1

20

1 & 2

 

 

 

 

 

x

 

 

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

 

 

 

 

MAA155

Introduction to Applied Mathematics

10

1

 

x

x

x

x

x

 

 

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

MAB156

Modelling with Differential Equations

10

1

o

 

 

 

 

 

o

o

MAB160

Numerical Methods 1

10

1

o

o

 

o

 

 

o

o

MAB170

Probability Theory

10

1

o

x

x

x

x

x

o

x

MAB171

Applied Statistics

10

1

o

o

 

o

 

o

o

x

MAB232

Socio-cultural views of mathematics teaching and learning

10

2

o

 

 

 

 

 

x

o

MAB240

Fourier Analysis & Partial Differential Equations

10

2

x

 

 

 

 

 

x

x

MAB241

Complex Variables

10

2

x

o

 

o

 

 

x

x

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

MAB265

Scientific Programming

10

2

o

o

 

o

 

o

 

 

MAB270

Statistical Modelling

10

2

o

x

x

x

o

o

o

x

MAB280

Introduction to Stochastic Processes

10

2

o

 

x

 

o

 

o

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

Acquiring Movement Skills

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

Psycho-social Factors in Competitive Sport

20

2

 

 

 

 

 

oSS

 

 

PSB028

Methods of Analysis in Sports Biomechanics

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

1

 

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

 

 

 

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

 

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

 

DSC023

Studies in Science and Mathematics Education

10

2

o#

o=>60

 

o =>40

o=>50

o

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

PHC207

Climate Physics

10

2

o

 

 

 

 

 

o

o

BSC005

Financial Reporting: Theory and Practice

20

1 & 2

 

 

 

 

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

MAFM

M & SS

M w MEd

M w Stats

BSC524

Entrepreneurship and Small Business Planning

10

2

 

 

 

o =>40

 

 

 

 

BSC575

Leadership and Interpersonal Skills

10

2

 

 

 

o =>40

 

 

 

 

ECC013

International Economic Relations

20

1 & 2

 

o

 

 

 

 

 

 

ECC014

Economics of the Financial System

20

1 & 2

 

o

o^

 

 

 

 

 

ECC004

Financial Economics and Asset Pricing

20

1

 

 

x

 

 

 

 

 

ECC024

Econometric Modelling 1

20

1

 

o=>40

 

 

 

 

 

 

ECC031

International Trade

20

1

 

o=>40

 

 

 

 

 

 

ECC035

Monetary Theory and Policy

20

1

 

o=>40

 

 

 

 

 

 

ECC101

Developments in Macroeconomics

20

1

 

o=>40

 

 

 

 

 

 

ECC001

Developments in Microeconomics

20

2

 

o=>40

 

 

 

 

 

 

ECC005

Industrial Economics

20

2

 

o=>40

 

 

 

 

 

 

ECC119

Development Economics

20

2

 

o=>40

 

 

 

 

 

 

ECC141

Corporate Finance and Derivatives

20

2

 

 

x

 

 

 

 

 

PSC019

Applied Physiology of Sports Performance

10

1

 

 

 

 

 

oSS

 

 

PSC021

Physiology of Exercise and Health

20

1

 

 

 

 

 

oSS

 

 

PSC021

 Physiology of Exercise and Health

 20

1 & 2 

 

 

 

 

 

 

 

 

PSC022

Sport and Exercise Medicine

10

1

 

 

 

 

 

oSS

 

 

PSC028

 Advanced Methods of Analysis in Sports Biomechanics

10 

 

 

 

 

 

oSS 

 

 

PSC031

Applied Sport and Perfomance Psychology

20

1

 

 

 

 

 

oSS

 

 

PSC020

 Sport Nutrition

 10

2

 

 

 

 

 

 oSS

 

 

PSC026

Exercise Psychology

20

2

 

 

 

 

 

oSS

 

 

PSC027

Motor Control of Sports Movement

10

2

 

 

 

 

 

oSS

 

 

 

PSC027

 Advanced Motor Control of Sports Movements

 10

 

 

 

 

 

 

 

 

PSC029

Mechanics of Sports Techniques

10

2

 

 

 

 

 

oSS

 

 

   

4.4    Part D

Code

Name

Cred

Sem

Math

MAD300

MMath Mathematics Project

30

1 & 2

x

MAD102

Regular and Chaotic Dynamics

15

1

o

MAD103

Lie Groups and Lie Algebras

15

1

o

MAD202

Nonlinear Waves

15

2

o

MAD203

Functional Analysis

15

2

o

MAP102

Programming and Numerical Methods

15

1

o

MAP104

Introduction to Measure Theory and Martingales

15

1

o

MAP111

Mathematical Modelling 1

15

1

o

MAP114

Stochastic Models in Finance

15

1

o

MAP201

Elements of Partial Differential Equations

15

2

o

MAP202

Static and Dynamic Optimisation

15

2

o

MAP204

Stochastic Calculus and Theory of Stochastic Pricing

15

2

o

MAP211

Mathematical Modelling 2

15

2

o

MAP213

Fluid Mechanics

15

2

o

TTP210

Advanced Reliability, Availability and Maintainability

15

1

o

5. Criteria for Progression and Degree Award

In order to progress from Part A to Part B, from Part B to C, from C to D (if applicable) and to be eligible for the award of an Honours degree, candidates must satisfy the minimum credit requirements set out in Regulation XX. 

5.1          Progression for Mathematics BSc, Mathematics with Economics BSc, Financial Mathematics BSc, Mathematics with Mathematics Education BSc, Mathematics with Statistics BSc

Part A to Part B

Candidates must, in addition, achieve at least 40% in 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 with 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 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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