Programme Specifications

Mathematics


1 : Awarding Institution / Body
Aberystwyth University

2a : Teaching Institution / University
Aberystwyth University

2b : Work-based learning (where appropriate)


Information provided by Department of Mathematics:



3a : Programme accredited by
Aberystwyth University

3b : Programme approved by
Aberystwyth University

4 : Final Award
Master in Mathematics

5 : Programme title
Mathematics

6 : UCAS code
G103

7 : QAA Subject Benchmark


Information provided by Department of Mathematics:

Mathematics, Statistics and Operational Research

8 : Date of publication


Information provided by Department of Mathematics:

September 2023



9 : Educational aims of the programme


Information provided by Department of Mathematics:

This programme is a 4-year honours degree scheme in which almost the entire content is in Mathematics and Statistics.

The educational aims of the programme are:

 

· To provide students with knowledge and understanding in a range of topics in Mathematics, including Statistics.

· To develop skills in the application of such knowledge and understanding to the solutions of problems in Mathematics.

· To develop the ability to transfer subject-specific skills to a range of topics in Mathematics.

· To develop mastery of a complex and specialised area of Mathematics, to work independently in that area and to present results obtained orally and in written form.

· To prepare students for careers in Mathematics and Statistics at an advanced level and in professions which make extensive use of advanced Mathematics and Statistics. 

· To develop analytical reasoning skills, team-working skills, information technology skills and other skills appropriate to a wide range of careers. 



10 : Intended learning outcomes


Information provided by Department of Mathematics:



10.1 : Knowledge and understanding


Information provided by Department of Mathematics:

Knowledge and understanding

A1. Of fundamental concepts and techniques of calculus, algebra, geometry, analysis, mathematical modelling, probability and statistics.
A2. Of more advanced concepts in abstract algebra, real and complex analysis, numerical mathematics, fluid dynamics, probability and statistics.
A3. Of a selection of specialist topics in Mathematics and Statistics.
A4. Of software for the analysis of numerical data.
A5. Of software for supporting presentations and producing reports.

Teaching, learning and assessment methods used to enable outcomes to be achieved and demonstrated:
Formal lectures (A1-A4), tutorials (A1-A3), examples classes (A1-A3), practical classes (A4, A5), help-desk encounters (A1), student-initiated informal meetings with lecturers (A1-A4), coursework (A1-A4). Project consultations (A1-A5).

Assessment – unseen written examinations (A1-A3), open-book practical examinations (A1-A4), Presentations (A1-A5), coursework (A1-A4), project report (A1-A5), if appropriate.

 



10.2 : Skills and other attributes


Information provided by Department of Mathematics:

10.2.1.      Intellectual skills

 

The ability to

B1. Calculate and manipulate data obtained from, or related to, the bodies of knowledge studied.
B2. Apply a range of concepts and principles in well-defined mathematical or statistical contexts, showing judgement in the selection and application of tools and techniques.
B3. Develop and evaluate logical arguments.
B4. Abstract the essential elements of problems, formulate them in a mathematical context and obtain solutions by appropriate methods.

 

Teaching, learning and assessment methods used to enable outcomes to be achieved and demonstrated

 

Formal lectures, tutorials, examples classes, practical classes, revision workshops, help-desk encounters, project consultations, student-initiated informal meetings with lecturers. Skills B1-B4 are developed in all these learning situations.

 

 Assessment – unseen written examinations, open-book practical examinations, coursework, presentations, project report. Skills B1-B4 are assessed by all these assessment methods.

10.2.2.      Professional practical skills

 

The Ability to

C1. Present arguments and conclusions effectively and accurately.
C2. Use computer software to analyse and interpret the data.
C3. Use computer software to support presentations and produce reports.

 

Teaching, learning and assessment methods used to enable outcomes to be achieved and demonstrated

Formal lectures, tutorials, examples classes, practical classes, revision workshops, help-desk encounters, student-initiated informal meetings with lecturers. Project consultationse. Skill C1 is developed in all these learning situations, skills C2-C3 in practical classes and skill C3 in project presentations.

 

Assessment – unseen written examinations (C1), open-book practical examinations (C2), presentations (C1-C3), coursework (C1-C2), project report (C1-C3), if appropriate.



10.3 : Transferable/Key skills


Information provided by Department of Mathematics:

The ability to

D1. Apply general mathematical skills to the interpretation of numerical data.
D2. Work as a member of a team.
D3. Use information technology effectively to manage information.
D4. Manage time and resources effectively.
D5. Develop effective learning skills.
D6. Be aware of the need to plan for employment and of need to develop various skills for such employment.
D7. Work independently

 

Teaching, learning and assessment methods used to enable outcomes to be achieved and demonstrated

Skill D1 is developed in all learning environments in the Department of Mathematics and assessed by all assessment methods. Skill D2 is developed during practical classes. Skill D3 is developed primarily in practical classes and assessed by open-book examinations and coursework. Skill D3 is also developed through the use of e-mail, which is a normal means of communication between staff and students. Skills D4 and D5 are developed in an induction course on study skills and in preparing set coursework and submitting it by given deadlines. Skill D6 is developed at meetings with Personal Tutors, at occasional recruitment meetings arranged for final-year students in the Department of Mathematics and in interactions with the Careers Advisory Service. Skills D4, D5 and D7 are developed by independent study for two projects.  Skills D4, D5 and D7 are not explicitly assessed. 



11 : Program Structures and requirements, levels, modules, credits and awards



MMATH Mathematics [G103]

Academic Year: 2023/2024Integrated Masters scheme - available from 2000/2001

Duration (studying Full-Time): 4 years

Part 1 Rules

Year 1 Core (100 Credits)

Compulsory module(s).

Semester 1
MA10110

Coordinate and Vector Geometry

MA10310

Probability

MA10510

Algebra

MA10700

Career Planning and Mathematical Skills Development

MP10610

Calculus

Semester 2
MA10720

Career Planning and Mathematical Skills Development

MA11110

Mathematical Analysis

MA11210

Differential Equations

MA11310

Statistics

MP11010

Further Algebra and Calculus

Year 1 Electives

Choose 20 credits, as advised by the mathematics department

Part 2 Rules

Year 2 Core (80 Credits)

Compulsory module(s).

Semester 1
MA20110

Real Analysis

MA20310

Introduction to Abstract Algebra

MA25200

Introduction to Numerical Analysis and its applications

MA26600

Applied Statistics

Semester 2
MA21410

Linear Algebra

MA21510

Complex Analysis

MA25220

Introduction to Numerical Analysis and its applications

MA26620

Applied Statistics

Year 2 Core (20 Credits)

Compulsory module(s).

Semester 1
PM26020

Mathematical Physics

Semester 2

Year 2 Options

Choose 20 credits

Semester 1
MA26010

Distributions and Estimation

Semester 2
MA25610

Hydrodynamics 1

MA25710

Advanced Dynamics

MT25610

Hydrodynameg 1

Year 3 Core (20 Credits)

Compulsory module(s).

Semester 1
MA30110

Group Theory

MA30210

Norms and Differential Equations

Semester 2

Year 3 Electives

Choose 100 credits (level 3) from mathematics as advised by the department, subject to pre-requisites

Final Year Core (60 Credits)

Compulsory module(s).

Semester 1
MAM9720

Minor Project

Semester 2
MAM9840

Major Project

Final Year Electives

Choose 60 credits (level M) from mathematics as advised by the department


12 : Support for students and their learning
Every student is allocated a Personal Tutor. Personal Tutors have an important role within the overall framework for supporting students and their personal development at the University. The role is crucial in helping students to identify where they might find support, how and where to seek advice and how to approach support to maximise their student experience. Further support for students and their learning is provided by Information Services and Student Support and Careers Services.

13 : Entry Requirements
Details of entry requirements for the scheme can be found at http://courses.aber.ac.uk

14 : Methods for evaluating and improving the quality and standards of teaching and learning
All taught study schemes are subject to annual monitoring and periodic review, which provide the University with assurance that schemes are meeting their aims, and also identify areas of good practice and disseminate this information in order to enhance the provision.

15 : Regulation of Assessment
Academic Regulations are published as Appendix 2 of the Academic Quality Handbook: https://www.aber.ac.uk/en/aqro/handbook/app-2/.

15.1 : External Examiners
External Examiners fulfill an essential part of the University’s Quality Assurance. Annual reports by External Examiners are considered by Faculties and Academic Board at university level.

16 : Indicators of quality and standards
The Department Quality Audit questionnaire serves as a checklist about the current requirements of the University’s Academic Quality Handbook. The periodic Department Reviews provide an opportunity to evaluate the effectiveness of quality assurance processes and for the University to assure itself that management of quality and standards which are the responsibility of the University as a whole are being delivered successfully.