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:
- Reg. XX (Undergraduate Awards) (see University Regulations)
- Module Specifications
- Summary
- Aims
- Learning outcomes
- Structure
- Progression & weighting
Programme summary
Awarding body/institution | Loughborough University |
Teaching institution (if different) | |
Owning school/department | Department of Mathematical Sciences |
Details of accreditation by a professional/statutory body | |
Final award | MMath and BSc |
Programme title | Mathematics; Mathematics with Economics; Financial Mathematics; Mathematics and Management; Mathematics, 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 |
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To equip students with certain general skills and thus help prepare them for future employment. |
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To provide a sound mathematically based intellectual education appropriate to the needs of a modern society. |
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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. |
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To introduce students to concepts and techniques in modern applied mathematics. |
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To provide students with a solid foundation for PhD programmes in this and other university mathematics departments. |
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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. |
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To provide a sound education in mathematics and economics, appropriate to the needs of society |
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To provide a sound education in the mathematics of finance and in economics, appropriate to the needs of society. |
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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. |
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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. |
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To provide students with an intellectually stimulating environment within which they can develop knowledge, understanding and skills |
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To enable students to benefit from a broad curriculum grounded in the study of sport, exercise science and mathematics |
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To allow students to draw upon knowledge and expertise in both teaching and research to support their professional practice |
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To support the student experience through effective management and improvement of ‘in-house’ learning and teaching resources. |
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To enhance students’ career and employment prospects by developing a range of transferable skills embedded in the programme |
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To equip students with intellectual, practical and transferable skills and thus help prepare them for future employment in a range of fields |
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To enable students to advance their understanding of the nature of and issues in providing such an education |
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To deliver a stimulating undergraduate curriculum in mathematics which provides a solid foundation in core areas of mathematics. |
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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 |
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To provide a mathematically based, intellectual and practically-related education appropriate to the needs of a modern society |
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To provide opportunities for students to meet their own aspirations, interests and educational needs through module selection. |
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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. |
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To provide a sound mathematics and statistics based intellectual education appropriate to the needs of a modern society. |
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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 |
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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: |
Math BSc |
Math MMath |
M w Ec |
FM |
M & Man |
MAFM |
M & SS |
M w MEd |
M w Stats |
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K1 |
The core disciplines of Calculus and Linear Algebra. |
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K2 |
The role of proof and deductive reasoning in mathematics. |
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K3 |
The formulation of problems in mathematical form. |
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K4 |
A range of analytical, numerical, and qualitative techniques. |
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K5 |
The applicability of computer software to the solution of mathematical problems. |
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K6 |
The processes and pitfalls of mathematical approximation. |
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K7 |
A higher-level of understanding in one or more areas of mathematics. |
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K8 |
How to develop and/or apply ideas in an original fashion, often within a research context. |
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K9 |
A coherent core of key economic principles. |
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K10 |
The application of economics and the appreciation of economic data. |
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K11 |
The applicability of computer software to the mathematical problems and economic data analysis. |
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K12 |
A coherent core of principles in economics and finance. |
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K13 |
The principles of stochastic processes and their application to financial markets. |
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K14 |
Foundational disciplines of business and management; |
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K15 |
The development and operation of markets for resources, goods and services including customer expectations, market orientation and the marketing mix |
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K16 |
The sources, uses and management of finance, the use of accounting and other information systems for; |
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K17 |
The management and development of people within organisations |
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K18 |
The development, management and exploitation of information systems and their impact upon organisations; |
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K19 |
The development of appropriate strategies at the corporate level within a changing national and international environment |
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K20 |
A range of contemporary issues impacting on various areas of management. |
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K21 |
Business organisations in their economic, fiscal, legal and political contexts; |
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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; |
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K23 |
Current technical language, developments, methods, practices and issues in accounting and financial management; |
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K24 |
Selected alternative techniques and practices in accounting and financial management; |
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K25 |
Methods of recording and summarising economic events and preparation of financial statements; |
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K26 |
Analytical tools for the effective financial management of business operations; |
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K27 |
Contemporary theories of accounting and financial management and their related research evidence. |
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K28 |
An ability to reflect critically upon approaches to the acquisition, interpretation and analysis of information in a variety of sport contexts, |
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K29 |
Knowledge and understanding of sport-related behaviour through critical evaluation of both academic and professional practices. |
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K30 |
Module choice will be important in determining whether the following intended learning outcomes are achieved, |
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K31 |
Ways of conceptualising mathematics related to its history, philosophy and social context and their impact on learning outcomes. |
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K32 |
How learners learn and understand mathematics with particular focuses on cognition, language and communication. |
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Approaches to teaching mathematics, including a focus on technology, and how teaching relates to learning. |
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K34 |
Understanding and managing variability through the science of data investigation. |
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K35 |
Formulating probability-based models in order to make inferences from samples. |
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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 |
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C1 |
Demonstrate knowledge of key mathematical concepts and topics |
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C2 |
Comprehend problems, abstract the essentials of problems and formulate them mathematically |
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C3 |
Demonstrate knowledge of the core of economic theory and applied economics |
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C4 |
Demonstrate knowledge of the mathematical techniques that can be employed to model the kinds of stochastic processes that arise in financial markets |
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C5 |
Conduct research using a range of sources of business-related materials |
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C6 |
Comprehend problems and abstract the essentials of problems in mathematics, accounting and finance |
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C7 |
Select and apply the appropriate mathematical tools to solve problems |
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C8 |
Reflect critically on the central themes and issues in modules within the programme |
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C9 |
Critically assess and interpret evidence from data and text derived from sport-related enquiry |
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C10 |
Present a reasoned argument to assess the merits of contrasting theories, explanations and instructional models |
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C11 |
Relate theory to practice in sport and exercise |
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C12 |
Apply knowledge to solve problems in a variety of laboratory and sport-based practicals |
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C13 |
Apply, appraise and distinguish between key elements of learning and developing understanding of mathematical concepts and topics |
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C14 |
Design and evaluate approaches to teaching mathematics and recognise how teaching approaches have influenced a student’s own learning |
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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 |
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C16 |
Demonstrate knowledge of key mathematical and statistical concepts and topics |
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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 |
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P2
Select and apply the appropriate mathematical tools to solve problems |
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P3
Apply knowledge and problem-solving abilities in new or unfamiliar environments |
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P4
Comprehend problems, abstract the essentials of problems and formulate them mathematically |
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P5
Apply core economic theory and economic reasoning to applied topics |
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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 |
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P7
Formulate and solve problems in mathematics and business using appropriate tools |
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P8
Use critical thinking, analysis and synthesis to evaluate and apply concepts and insights from business disciplines, including comprehension of complex scenarios |
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P9
Advise on business decisions using appropriate qualitative and quantitative skills, including the ability to identify and evaluate a range of alternative scenarios |
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P10
Relate theory to practice in business and management |
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P11
Formulate and solve problems in mathematics, accounting and finance using appropriate tools |
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P12
Record and summarise transactions and other economic events |
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P13
Prepare financial statements |
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P14
Use appropriate analytical tools for accounting and financial managements tasks |
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P15
Gather relevant data and evidence from various sources, integrate them appropriately and reference sources adequately |
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P16
Critically evaluate arguments and evidence |
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P17
Design and evaluate approaches to learning and teaching mathematics both as observers and teachers |
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P18
Apply knowledge of key mathematical concepts and topics to problems in mathematics and its applications |
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P19
Select and apply the appropriate mathematical and statistical tools to solve problems |
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P20
Design and conduct of experimental and observational studies and analyse the data resulting from them |
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P21
Apply knowledge of key mathematical concepts and topics to problems in mathematics and statistics and their applications |
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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 |
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T2
Have good time-management and organisational skills |
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T3
Have highly developed skill of numeracy |
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T4
Have general IT skills |
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T5
Have good communication skills |
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T6
Have the ability to study in a manner that is largely self-directed |
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T7
Communicate quantitative and qualitative information, analysis, argument and conclusions in appropriate ways |
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T8
Gather relevant data and evidence from various sources, integrate them appropriately and reference sources adequately |
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T9
Critically evaluate arguments and evidence |
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T10
Be able to work with others in collaborative ways |
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T11
Demonstrate insight into issues in learning and teaching both in their own studies and when working with other learners |
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4. Programme structure
Programme title and code |
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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 |
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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 |
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x |
x |
MAA142 |
Linear Algebra |
10 |
1 |
x |
x |
x |
x |
x |
x |
x |
x |
MAA145 |
Mathematical Thinking |
10 |
1 |
x |
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x |
x |
MAA150 |
Mathematical Methods 1 |
10 |
1 |
x |
x |
x |
x |
x |
x |
x |
x |
MAA155 |
Introduction to Applied Mathematics |
10 |
1 |
x |
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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 |
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x |
x |
MAA242 |
Geometry and Groups |
10 |
2 |
x |
x |
x |
x |
x |
x |
x |
x |
MAA245 |
Numbers |
10 |
2 |
x |
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x |
x |
MAA250 |
Mathematical Methods 2 |
10 |
2 |
x |
x |
x |
x |
x |
x |
x |
x |
MAA251 |
Mechanics |
10 |
2 |
x |
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x |
x |
MAA270 |
Introductory Probability and Statistics |
10 |
2 |
x |
x |
x |
x |
x |
x |
x |
x |
BSA017 |
Financial Accounting |
20 |
1 |
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x |
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BSA020 |
Microeconomics for Financial Studies |
10 |
1 |
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x |
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BSA505 |
Organisational Behaviour |
10 |
1 |
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x |
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BSA525 |
Introduction to Accounting |
10 |
1 |
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x |
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BSA019 |
Accounting in Context |
10 |
2 |
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x |
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BSA022 |
Macroeconomics for Financial Studies |
10 |
2 |
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x |
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BSA025 |
Introduction to Law |
10 |
2 |
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x |
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BSA506 |
Management of Human Resources |
10 |
2 |
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x |
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BSA526 |
Accounting for Managers |
10 |
2 |
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x |
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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 |
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 |
o |
|
o |
|
|
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 |
|
|
|
|
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 |
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 |
1 |
|
|
|
|
|
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 |
2 |
|
|
|
|
|
|
|
|
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 |