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Graduate Diploma Mathematics

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  • Objectives
    To prepare students who do not have sufficient background for entry into an MSc degree scheme within the Department of Mathematical Sciences. (Normally, admission to an MSc degree scheme requires the average of the aggregate marks for all the courses to be at least 60%.) OR To give advanced mathematical training to graduates of cognate disciplines
  • Entry requirements
    Entry Qualifications The admissions criteria are flexible, but, in general, we require a BSc degree of Upper Second class standard or above, (or an equivalent qualification), with a background in mathematics equivalent at least to the first year of our undergraduate course. Language requirements: IELTS 6.0 or TOEFL 540 (200) or comparable.
  • Academic Title
    Graduate Diploma Mathematics
  • Course description

    Course Description
    The Graduate Diploma in Mathematics aims to give a training in basic mathematics techniques for students whose first degree has contained only a modest amount of mathematics.

    Modules and Options

    The lists of modules below represent the range of options available for each year of study. This may not be a complete list of the options you will study, and may be subject to change, so please contact the department for further details.

    Stage 1

        ANALYSIS
        APPLIED MATHEMATICS
        COMBINATORIAL OPTIMISATION
        COMPLEX VARIABLES AND APPLICATIONS
        CRYPTOGRAPHY AND CODES
        EXPERIMENTAL DESIGN
        GRAPH THEORY
        LINEAR ALGEBRA
        LINEAR MODELS
        MATHEMATICAL BIOLOGY
        MATHEMATICAL METHODS
        MATHEMATICS OF PORTFOLIOS
        NONLINEAR PROGRAMMING
        OPTIMISATION (LINEAR PROGRAMMING)
        ORDINARY DIFFERENTIAL EQUATIONS
        PROBABILITY AND STATISTICS I
        PROBABILITY AND STATISTICS II
        PROJECT: MATHEMATICS
        PROJECT: MATHEMATICS
        QUANTITATIVE DECISION MAKING

    Teaching and Assessment Methods
     
    A: Knowledge and Understanding
        Learning Outcomes
        A2 : Knowledge and understanding gained through the study at an advanced level of one or more areas of mathematics, statistics or operational research.

        Teaching Methods
        Lectures are the principal method of delivery for the concepts and principles involved in A1-A2. Students are also directed to reading from textbooks and material available on-line. In some courses, understanding is enhanced through the production of a written report.


        Understanding is reinforced by means of classes, assignments, and, where appropriate, laboratories

        Assessment Methods
        Achievement of knowledge outcomes is assessed primarily through unseen closed-book examinations, and also, in some courses, through marked coursework, laboratory reports, statistical assignments, project reports, oral presentations and oral examinations.

        Formative assessment in all courses is provided by regular problem sheets.

    B: Intellectual/Cognitive Skills
        Learning Outcomes
        B1 : Identify an appropriate method to solve a specific mathematical problem.
        B2 : Analyse a given problem and select the most appropriate tools for its solution.

        Teaching Methods
        The basis for intellectual skills is provided in lectures, and the skills are developed by means of recommended reading, guided and independent study, assignments and, in some courses, project work.

        B1 and B2 are developed through exercises supported by classes.

        Assessment Methods
        Achievement of intellectual skills is assessed primarily through unseen closed-book examinations, and also, in some courses, through marked assignments and project work.

    C: Practical Skills
        Learning Outcomes
        C1 : Use computational tools and packages.
        C2 : The ability to apply a rigorous, analytic, highly numerate approach to a problem.

        Teaching Methods
        The practical skills of mathematics are developed, where appropriate, in exercise classes, laboratory classes, assignments and project work.

        C1 is acquired through the use of a number of computer packages, as a part of the teaching of courses for which they are relevant.

        C2 is acquired and enhanced throughout the programme.

        Assessment Methods
        C1 is assessed through marked coursework.

        C2 is judged in all assessment throughout the programme.

    D: Key Skills
        Learning Outcomes
        D1 : Communicate mathematical arguments effectively.
        D2 : Use appropriate IT facilities as a tool in the analysis of mathematical problems.
        D3 : Use mathematical techniques correctly.
        D4 : Analyse complex problems and find effective solutions.
        D5 : Organise activity and manage time in the course of study.

        Teaching Methods
        D1 is practised throughout the scheme in the writing of solutions to mathematical problems, both for assessment and as exercises.

        D2 is developed through the use of computer packages in a number of courses.

        D3 and D4 are developed in exercises and assignments throughout the scheme.


        D5 is developed through homework assignments and in projects which are parts of some courses.

        Students are encouraged to make use of the university's Key Skills Online facility.

        Assessment Methods
        D1 is assessed through coursework and examinations.

        D2 is assessed primarily through coursework.

        Assessment of the key skills D3 and D4 is intrinsic to subject based assessment, and D5 is implicitly assessed throughout.

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