Programme And Module Handbook
 
Programme Specification


Date Specification Approved 26/09/2014
College College Eng and Physical Sci
School Mathematics
Department Mathematics
Partner College and School Sport, Ex and Rehab Sciences
Collaborative Organisation and Form of Collaboration
Qualification and Programme Title B.Sc. Mathematics and Sports Science Full-time
Programme Code 0255
Delivery Location Campus
Language of Study English
Length of Programme 3 Year(s)
Accreditations This programme has no outside accreditations
Aims of the Programme To provide students with an appreciation of the distinctive nature of mathematics as the language of science, a creative discipline that forms a systematic way of structuring thoughts and arguments, closely tied to a coherent body of associated knowledge.

To provide students with a broadly based education in mathematics, including statistics and computational mathematics, and sports science.

To provide a core understanding of mathematics and sports science in the first two years and a wide range of mathematics and sports science options, that reflect the research interests of the Schools, in the final year.

To make students aware of the wide range of career options open to them and prepare them for professional, graduate level employment or further study.

To develop mathematical skills such as modelling, problem solving and the use of precise technical language.

To develop other key skills such as a capacity for independent study and learning, report writing, giving presentations and team work.
Programme Outcomes
Students are expected to have Knowledge and Understanding of: Which will be gained through the following Teaching and Learning methods: and assessed using the following methods:
Specific areas of interest in sport, exercise and health at a detailed and critical level
The factual and theoretical base of physiology, psychology, biochemistry, functional anatomy and biomechanics as they apply to the study of exercise and sport and health.
The analysis of data and to have some experience in the methods of laboratory experimentation and data gathering.
Key mathematical concepts and topics including the foundations and applications of calculus and analysis, linear algebra, abstract algebra, and one of applied mathematics, mathematical optimisation, probability and statistics
The need for and techniques of proof and rigour and the ability to construct rigorous arguments
How to analyse and model both applied and abstract situations using the language of mathematics
How to solve problems arising from applied and abstract situations through both the creative and the routine application of mathematical techniques
Essential concepts, principles and theories relating to computing
The scientific and other career options open to highly qualified mathematics graduates
Lectures, practical work, seminars, tutorials and directed reading and study
Advanced lectures, seminars, tutorials and independent study
Examinations, comprising MCQs, short answers and essays, appropriate to the level of study.
Coursework to include essays, practical reports, data handling exercises.
Seminar and class presentations.
Students are expected to have attained the following Skills and other Attributes: Which will be gained through the following Teaching and Learning methods: and assessed using the following methods:
Key Skills: Students will develop the ability to communicate both in writing and orally and have the ability to organise their time and learning in such a way that it equips them for self-directed, life-long learning both as individuals and as members of a team.
Students will acquire a limited range of Subject Specific skills including an appreciation of some of the ethical and safety issues relevant to the subject.
Intellectual skills: Students will be able to research topics, analyse and critically evaluate evidence and ideas and present reasoned arguments and judgements.
Ability to abstract the essentials of problems and formulate them mathematically and in a symbolic form
Analytical, numerical, computational, modelling and problem solving skills
Ability to select and apply appropriate mathematical methods for solving problems including those at an abstract level
Ability to construct and develop logical mathematical arguments with clear identification of assumptions and conclusions
Ability to present arguments and conclusions clearly and accurately
Ability to independently solve a substantial problem and present a solution both orally and in a dissertation
Capacity for independent study and learning, report writing, giving presentations
Subject specific skills are taught partly by formal instruction and partly by practical experience.
Intellectual skills are acquired by example during lectures, tutorials and seminars and in the process of researching topics.
Key skills are embedded in the academic module.
Subject specific skills: Examinations, coursework, and practical reports.
Intellectual skills: Examinations, coursework, oral presentations and practical reports.
Key skills: The demonstration of Key Skills forms an integral part of the assessments detailed above.