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MSci Mathematics and Statistics & Operational Research

Academic Year 2017/18

A programme specification is required for any programme on which a student may be registered. All programmes of the University are subject to the University's Quality Assurance and Enhancement processes as set out in the DASA Policies and Procedures Manual.

Programme Title

MSci Mathematics and Statistics & Operational Research

Final Award
(exit route if applicable for Postgraduate Taught Programmes)

Master in Science

Programme Code

MTH-MSCI

UCAS Code

GGC3

JACS Code

G100 (DESCR) 66

Criteria for Admissions

Stage 1 Entry: 3 A-levels AAA or A*AB (or equivalent) grade A Mathematics

ATAS Clearance Required

No

Health Check Required

No

Portfolio Required

Interview Required

Mode of Study

Full Time

Type of Programme

Undergraduate Master

Length of Programme

4 Academic Year(s)

Total Credits for Programme

480

Exit Awards available

INSTITUTE INFORMATION

Awarding Institution/Body

Queen's University Belfast

Teaching Institution

Queen's University Belfast

School/Department

Mathematics & Physics

Framework for Higher Education Qualification Level 
http://www.qaa.ac.uk/publications/information-and-guidance

Level 7

QAA Benchmark Group
http://www.qaa.ac.uk/assuring-standards-and-quality/the-quality-code/subject-benchmark-statements

Mathematics, Statistics and Operational Research (2015)

Accreditations (PSRB)

Institute of Mathematics and its Applications

Date of most recent Accreditation Visit 04-07-13

External Examiner Name:

External Examiner Institution/Organisation

Professor J Kedra (Pure Maths)

University of Aberdeen

Professor Y Fyodorov (Applied Maths)

Queen Mary, University of London

Dr G Taylor (Statistics and Operational Research)

University of Bath

REGULATION INFORMATION

Does the Programme have any approved exemptions from the University General Regulations
(Please see General Regulations)

No

Programme Specific Regulations

Students will not be permitted to register for Stage 2 unless they have passed all their core Level 1 modules.

Transfers to Other Pathways
At the end of Stage 2, Students may transfer to other Pathways (BSc, or if they have achieved a weighted average of at least 55%, before rounding MSci), provided they have passed all the compulsory modules on the Pathway to which they are transferring up to that time of transfer.

Progression
At the end of Stages 2 and 3, students require an overall weighted average of at least 55% before rounding to progress to the next stage.
At the end of stages 2 and 3, students with an overall weighted average of less than 55% before rounding will be required to transfer to the BSc degree.

To progress from stage 3 to stage 4 students must maintain a weighted average of at least 55% before rounding
Students who fail to maintain this average will be required to transfer to the BSc pathway. They may be awarded a BSc degree if they meet the criteria for this award.

Students with protected characteristics

N/A

Are students subject to Fitness to Practise Regulations

(Please see General Regulations)

No

EDUCATIONAL AIMS OF PROGRAMME

- Demonstrate good understanding of the main body of knowledge for mathematics, including some advanced topics, and demonstrate good skill in manipulation of this knowledge, including in its application to problem solving

- Apply core mathematics concepts in loosely defined contexts, through the judicious use of analytical and computational methods, tools and techniques and high-level skills in the development and evaluation of logical mathematical arguments

- Analyse complex problems through their formulation in terms of mathematics, including the ability to define the essence of problems, to formulate problems mathematically, and to interpret the solutions

- Communicate mathematical arguments accurately to a range of audiences in both written and oral form

- Develop an advanced project in mathematics competently

- Demonstrate the ability to function professionally as a statistician

LEARNING OUTCOMES

Learning Outcomes: Cognitive Skills

On the completion of this course successful students will be able to:

Apply mathematical knowledge logically and accurately in the solution of examples and complex problems

Teaching/Learning Methods and Strategies

By its nature, mathematics has to be presented logically. The lectures and model examples to problems provide exemplars of this logical structure. They also identify the tools needed to address certain problems. Tutorial problems and assignments offer the students opportunities to develop their logical reasoning skills, to develop skills in organising their reasoning and application of mathematics, and to develop skills in the selection of techniques.

Methods of Assessment

The assessment of these skills is implicit in most methods of assessment, including exams, coursework, practical and project work. The overall degree of success in any assessment depends to a large extent on students’ mastery of logical and accurate methods of solution, well-organised structure of answers, and the identification of the appropriate solution method.

Conduct an advanced mathematical investigation involving statistics and/or operational research under supervision

Teaching/Learning Methods and Strategies

The project modules will offer the students the opportunity to identify what it takes to carry out an extended, advanced investigation in pure or applied mathematics. These skills are also developed through extended assignments in a wide range of modules across the entire spectrum

Methods of Assessment

These skills are assessed mainly through project reports and oral presentations on project work of increasing complexity, culminating in the final project

Analyse complex problems and situations in mathematical terms, and identify the appropriate mathematical tools and techniques for their solution

Teaching/Learning Methods and Strategies

By its nature, mathematics has to be presented logically. The lectures and model examples to problems provide exemplars of this logical structure. They also identify the tools needed to address certain problems. Tutorial problems and assignments offer the students opportunities to develop their logical reasoning skills, to develop skills in organising their reasoning and application of mathematics, and to develop skills in the selection of techniques.

Methods of Assessment

The assessment of these skills is implicit in most methods of assessment, including exams, coursework, practical and project work. The overall degree of success in any assessment depends to a large extent on students’ mastery of logical and accurate methods of solution, well-organised structure of answers, and the identification of the appropriate solution method.

Organise their work in a structured manner

Teaching/Learning Methods and Strategies

By its nature, mathematics has to be presented logically. The lectures and model examples to problems provide exemplars of this logical structure. They also identify the tools needed to address certain problems. Tutorial problems and assignments offer the students opportunities to develop their logical reasoning skills, to develop skills in organising their reasoning and application of mathematics, and to develop skills in the selection of techniques.

Methods of Assessment

The assessment of these skills is implicit in most methods of assessment, including exams, coursework, practical and project work. The overall degree of success in any assessment depends to a large extent on students’ mastery of logical and accurate methods of solution, well-organised structure of answers, and the identification of the appropriate solution method.

Learning Outcomes: Knowledge & Understanding

On the completion of this course successful students will be able to:

Demonstrate specialist knowledge and associated skills in a particular area of pure or applied mathematics at a level suitable as a starting point for research

Teaching/Learning Methods and Strategies

The extended projects at Level 4 provide an opportunity for in-depth study of a particular topic under one-to-one supervision

Methods of Assessment

The specialist knowledge and skills are assessed through the project dissertation and an oral presentation.

Demonstrate some understanding of the connection between different areas of mathematics and/or between mathematics / statistics and other sciences and application areas

Teaching/Learning Methods and Strategies

Lectures provide the core method for the presentation of the knowledge required for students to be successful. Each lecture-based module has associated tutorials, and, where appropriate, practical classes to assist the student with the development of understanding of the core contents, including its application. Assignments are provided to assist further development of understanding. These assignments are marked and returned to students typically within one week with individual feedback. Model solutions to these assignments are made available to students for additional self-study.

Methods of Assessment

This is tested in particular in the project modules, as this is where outside applications may primarily appear. Modules in applied mathematics and statistics may demonstrate application in physics, medicine, business and finance.
The hierarchical nature of mathematics means that all mathematical modules are based on previous mathematical knowledge, and so this understanding is implicitly assessed in any examination.

Demonstrate understanding, and application of this understanding, within an extended range of more specialist optional topics to include statistics and /or operational research

Teaching/Learning Methods and Strategies

Lectures provide the core method for the presentation of the knowledge required for students to be successful. Each lecture-based module has associated tutorials, and, where appropriate, practical classes to assist the student with the development of understanding of the core contents, including its application. Assignments are provided to assist further development of understanding. These assignments are marked and returned to students typically within one week with individual feedback. Model solutions to these assignments are made available to students for additional self-study.

Methods of Assessment

Formal exams, class tests, small reports, presentations

Understand and appreciate the importance of mathematical logic

Teaching/Learning Methods and Strategies

Lectures provide the core method for the presentation of the knowledge required for students to be successful. Each lecture-based module has associated tutorials, and, where appropriate, practical classes to assist the student with the development of understanding of the core contents, including its application. Assignments are provided to assist further development of understanding. These assignments are marked and returned to students typically within one week with individual feedback. Model solutions to these assignments are made available to students for additional self-study.

Methods of Assessment

Formal exams, class tests, small reports, presentations
This appreciation is of particular importance to the project modules, as mathematical logic is critical to arrive at appropriate mathematical conclusions

Use these fundamental concepts and techniques in a range of application areas, including, for example, partial differential equations, mechanics, numerical analysis, statistics and operational research

Teaching/Learning Methods and Strategies

Lectures provide the core method for the presentation of the knowledge required for students to be successful. Each lecture-based module has associated tutorials, and, where appropriate, practical classes to assist the student with the development of understanding of the core contents, including its application. Assignments are provided to assist further development of understanding. These assignments are marked and returned to students typically within one week with individual feedback. Model solutions to these assignments are made available to students for additional self-study.

Methods of Assessment

Formal exams, class tests, small reports, presentations

Application of the fundamental concepts is also of importance to any of the project modules, as deeper understanding will result in higher marks

Demonstrate understanding of the fundamental concepts and techniques of calculus, analysis, algebra, linear algebra, statistics and operational research

Teaching/Learning Methods and Strategies

Lectures provide the core method for the presentation of the knowledge required for students to be successful. Each lecture-based module has associated tutorials, and, where appropriate, practical classes to assist the student with the development of understanding of the core contents, including its application. Assignments are provided to assist further development of understanding. These assignments are marked and returned to students typically within one week with individual feedback. Model solutions to these assignments are made available to students for additional self-study.

Methods of Assessment

Formal exams, class tests, small reports, presentations

Learning Outcomes: Subject Specific

On the completion of this course successful students will be able to:

Present sophisticated mathematical findings through oral and written means to a range of audiences

Teaching/Learning Methods and Strategies

Communication through reports and/or oral presentations forms a compulsory part of many modules across the entire range of modules offered.

Methods of Assessment

These skills are primarily assessed through compulsory reports and presentations within many modules.

Use a range of mathematical and statistical software for the solution of mathematical and statistical problems

Teaching/Learning Methods and Strategies

Basic skills are developed through the mathematical modelling module and the computer algebra module. Numerical analysis and statistics oriented modules have associated computer practicals, using appropriate specialist software.

In the project modules, further opportunities to use mathematical software may be available.

Methods of Assessment

These skills are primarily assessed through reports and presentations associated with work carried out using mathematical software.

Apply a wide range of analytic and/or numerical mathematical and statistical techniques within well-defined contexts, and to formulate and solve complex problems in more loosely defined contexts

Teaching/Learning Methods and Strategies

Each lecture-based module has associated tutorials, and, where appropriate, practical classes to assist the student with the development of understanding and application of logical mathematical arguments and/or analytic/numerical mathematical techniques. Assignments also assist the development of understanding in these areas.

The project modules allow students to spend time on a more extended problem, which will enable a more in-depth development of mathematical arguments and application mathematical techniques

Methods of Assessment

Assessment is mainly through formal examination and class tests for lecture-based modules. This assessment is supplemented through written reports and oral presentations. For project modules, the latter is the main method of assessment.

Demonstrate advanced understanding of logical mathematical arguments, including mathematical proofs and their construction, and apply these arguments appropriately

Teaching/Learning Methods and Strategies

Each lecture-based module has associated tutorials, and, where appropriate, practical classes to assist the student with the development of understanding and application of logical mathematical arguments and/or analytic/numerical mathematical techniques. Assignments also assist the development of understanding in these areas.

The project modules allow students to spend time on a more extended problem, which will enable a more in-depth development of mathematical arguments and application mathematical techniques

Methods of Assessment

Assessment is mainly through formal examination and class tests for lecture-based modules. This assessment is supplemented through written reports and oral presentations. For project modules, the latter is the main method of assessment.

Learning Outcomes: Transferable Skills

On the completion of this course successful students will be able to:

Oversee extended projects

Teaching/Learning Methods and Strategies

Project work associated with modules at each Level are the prime method for development. The increase in level of complexity of such projects throughout the programme, in line with student’s overall development, will implicitly develop the students’ skills in project management.

Methods of Assessment

These skills are assessed implicitly as part of any project component to a module. A higher level of skill in time management will provide student with greater opportunity to present a well thought-through report, which allows the students to better highlight their achievements.

Manage their time

Teaching/Learning Methods and Strategies

Project work associated with modules at each Level are the prime method for development. The increase in level of complexity of such projects throughout the programme, in line with student’s overall development, will implicitly develop the students’ skills in project management.

Methods of Assessment

These skills are assessed implicitly as part of any project component to a module. A higher level of skill in time management will provide student with greater opportunity to present a well thought-through report, which allows the students to better highlight their achievements.

Present findings for complex problems through oral communication

Teaching/Learning Methods and Strategies

Any assignment or coursework or project work involves the communication of mathematical ideas, and these skills are thus embedded indirectly in any module.
Any report or presentation will provide an explicit learning opportunity, where the increase in mathematical difficulty at higher levels will provide a means for communication skill development

Methods of Assessment

The assessment of communication skills takes place through the reports and presentations, where higher skill levels will result in higher overall marks

Present findings for complex problems through written reports

Teaching/Learning Methods and Strategies

Any assignment or coursework or project work involves the communication of mathematical ideas, and these skills are thus embedded indirectly in any module.
Any report or presentation will provide an explicit learning opportunity, where the increase in mathematical difficulty at higher levels will provide a means for communication skill development

Methods of Assessment

The assessment of communication skills takes place through the reports and presentations, where higher skill levels will result in higher overall marks

Communicate high-level mathematical and statistical ideas and concepts clearly

Teaching/Learning Methods and Strategies

Any assignment or coursework or project work involves the communication of mathematical ideas, and these skills are thus embedded indirectly in any module.
Any report or presentation will provide an explicit learning opportunity, where the increase in mathematical difficulty at higher levels will provide a means for communication skill development

Methods of Assessment

The assessment of communication skills takes place through the reports and presentations, where higher skill levels will result in higher overall marks

Use computer technology efficiently for a variety of purposes

Teaching/Learning Methods and Strategies

Basic computer modelling skills are developed through the mathematical modelling module and the computer algebra module. Numerical analysis and statistics oriented modules have associated computer –oriented tasks, where students can develop skills in the use of appropriate specialist software.
In the project modules, further opportunities to use mathematical software may be available.
Written reports develop skills in the use of word-processing software, while the presentations can develop skills in the use of presentation software

Methods of Assessment

Computer modelling skills are primarily assessed through reports and presentations associated with work carried out using mathematical software.
The main test in Computer Algebra takes place through a direct assessment of their use of appropriate software
Computer skills in word-processing and presentation development are assessed implicitly in the project and presentation assessment

Adopt an analytic approach to problem solving

Teaching/Learning Methods and Strategies

Analytic thinking is part of any module in mathematics, and is therefore cultivated through the tutorials, practicals and assignments associated with each lecture-based module, including all the project components.

It is also a critical skill developed during the project modules

Methods of Assessment

Analytic thinking is embedded implicitly in every assessment within mathematics.
Problem solving skills will be assessed through an extended range of project work, culminating in the final-year project modules

MODULE INFORMATION

Programme Requirements

Module Title

Module Code

Level/ stage

Credits

Availability

Duration

Pre-requisite

 

Assessment

 

 

 

 

S1

S2

 

 

Core

Option

Coursework %

Practical %

Examination %

Fluid Mechanics

AMA2005

2

20

YES

12 weeks

Y

YES

20%

0%

80%

Analysis

PMA2002

2

20

YES

12 weeks

Y

YES

40%

0%

60%

Methods of Operational Research

SOR2003

2

20

YES

12 weeks

Y

YES

10%

20%

70%

Electromagnetic Theory

AMA3001

3

20

YES

12 weeks

N

YES

30%

0%

70%

Quantum Theory

AMA3002

3

20

YES

12 weeks

N

YES

30%

0%

70%

Linear & Dynamic Programming

SOR3001

3

20

YES

12 weeks

Y

YES

10%

20%

70%

Tensor Field Theory

AMA3003

3

20

YES

12 weeks

N

YES

0%

20%

80%

Numerical Analysis

AMA2004

2

20

YES

12 weeks

Y

YES

10%

40%

50%

Partial Differential Equations

AMA3006

3

20

YES

12 weeks

N

YES

0%

20%

80%

Advanced Quantum Theory

AMA4001

4

20

YES

12 weeks

N

YES

20%

0%

80%

Advanced Mathematical Methods

AMA4003

4

20

YES

12 weeks

N

YES

10%

20%

70%

Classical Mechanics

AMA2001

2

20

YES

12 weeks

Y

YES

40%

0%

60%

Statistical Mechanics

AMA4004

4

20

YES

12 weeks

Y

YES

50%

0%

50%

Investigations

AMA3020

3

20

YES

12 weeks

N

YES

100%

0%

0%

Practical Methods for Partial Differential Equations

AMA4006

4

20

YES

12 weeks

N

YES

0%

50%

50%

Group Theory

PMA2008

2

20

YES

12 weeks

N

YES

20%

0%

80%

Computer Algebra

PMA3008

3

20

YES

12 weeks

N

YES

0%

100%

0%

Ring Theory

PMA3012

3

20

YES

12 weeks

Y

YES

20%

0%

80%

Set Theory

PMA3014

3

20

YES

12 weeks

Y

YES

0%

30%

70%

Topology

PMA4003

4

20

YES

12 weeks

Y

YES

0%

30%

70%

Integration Theory

PMA4004

4

20

YES

12 weeks

Y

YES

30%

0%

70%

Financial Mathematics

AMA3007

3

20

YES

12 weeks

N

YES

30%

0%

70%

Mathematical Investigations

PMA3013

3

20

YES

12 weeks

N

YES

100%

0%

0%

Functional Analysis

PMA4002

4

20

YES

12 weeks

Y

YES

40%

0%

60%

Statistical Inference

SOR2002

2

20

YES

12 weeks

Y

YES

10%

20%

70%

Statistics Project

SOR4001

4

40

24 weeks

N

YES

100%

0%

0%

Stochastic Processes and Risk

SOR3012

3

20

YES

12 weeks

Y

YES

40%

0%

60%

Statistical Data Mining

SOR3008

3

20

YES

12 weeks

Y

YES

0%

40%

60%

Linear Models

SOR2004

2

20

YES

12 weeks

Y

YES

10%

20%

70%

Calculus of Variations & Hamiltonian Mechanics

AMA3013

3

20

YES

12 weeks

N

YES

30%

0%

70%

Mathematical Modelling in Biology and Medicine

AMA3014

3

20

YES

12 weeks

N

YES

20%

30%

50%

Information Theory

AMA4009

4

20

YES

12 weeks

N

YES

30%

0%

70%

Metric and Normed Spaces

PMA3017

3

20

YES

12 weeks

Y

YES

20%

0%

80%

Algebraic Equations

PMA3018

3

20

YES

12 weeks

Y

YES

20%

0%

80%

Algebraic Topology

PMA4010

4

20

YES

12 weeks

Y

YES

30%

0%

70%

Survival Analysis

SOR4007

4

20

YES

16 weeks

N

YES

25%

0%

75%

Mathematical Methods for Quantum Information Processing

AMA4021

4

20

YES

12 weeks

N

YES

30%

0%

70%

Analysis and Calculus

AMA1020

1

30

24 weeks

N

YES

10%

0%

90%

Numbers, Vectors and Matrices

PMA1020

1

30

24 weeks

N

YES

10%

0%

90%

Mathematical Reasoning

PMA1021

1

10

YES

12 weeks

N

YES

100%

0%

0%

Introduction to Probability & Statistics

SOR1020

1

30

24 weeks

N

YES

10%

0%

90%

Mathematical Modelling

AMA1021

1

10

YES

12 weeks

N

YES

80%

20%

0%

Introduction to Statistical and Operational Research Methods

SOR1021

1

10

24 weeks

N

YES

0%

100%

0%

Introduction to Partial Differential Equations

AMA2008

2

10

YES

6 weeks

Y

YES

60%

40%

0%

Graph Theory

PMA2021

2

20

YES

12 weeks

N

YES

20%

0%

80%

Linear Algebra & CV

PMA2020

2

30

18 weeks

Y

YES

10%

0%

90%

Notes

At Stage 1 Students are required to take the SIX compulsory modules listed

At Stage 2 Students must take 6 modules normally chosen from Applied Mathematics, Pure Mathematics, Statistics and Operational Research. The choice must include AMA2008, PMA2002, PMA2020, SOR2002 and either SOR2003 or SOR2004. Not every module will be offered every year.

At Stage 3, students must take a combination as approved by the AoS of six Level 3 modules. The choice must include at least two modules in Statistics & Operational Research. It must also include either PMA3013 or AMA3020. Not every module will be offered every year.

Stage 4. Students must take SOR4001 and four other modules from Applied Mathematics, Pure Mathematics, Statistics & OR, with SOR4007 strongly recommended. Not every module will be offered every year.