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Mathematics

Course overview

(MSc) Master of Science
Mathematics
Current
University of Essex
University of Essex
Mathematical Sciences
Colchester Campus
Masters
Full-time
Mathematics, Statistics and Operational Research
MSC G10112
http://www.essex.ac.uk/students/exams-and-coursework/ppg/pgt/assess-rules.aspx
03/05/2018
A degree with an overall mid 2.2 in Mathematics, Applied Mathematics or Operational Research.

Applications from students with a 2:2 or equivalent will be considered dependent on any relevant professional or voluntary experience, previous modules studied and/or personal statement.

IELTS overall score of 6.0 with a minimum of 5.5 in all components

External Examiners

Prof Fionn Murtagh
Professor of Data Science

External Examiners provide an independent overview of our courses, offering their expertise and help towards our continual improvement of course content, teaching, learning, and assessment. External Examiners are normally academics from other higher education institutions, but may be from the industry, business or the profession as appropriate for the course. They comment on how well courses align with national standards, and on how well the teaching, learning and assessment methods allow students to develop and demonstrate the relevant knowledge and skills needed to achieve their awards. External Examiners who are responsible for awards are key members of Boards of Examiners. These boards make decisions about student progression within their course and about whether students can receive their final award.

eNROL, the module enrolment system, is now open until Monday 21 October 2019 8:59AM, for students wishing to make changes to their module options.

Key

Core You must take this module You must pass this module. No failure can be permitted.
Core with Options You can choose which module to study
Compulsory You must take this module There may be limited opportunities to continue on the course/be eligible for the degree if you fail.
Compulsory with Options You can choose which module to study
Optional You can choose which module to study

Year 1 - 2019/20

Exit Award Status
Component Number Module Code Module Title Status Credits PG Diploma PG Certificate
01 MA981-7-FY Dissertation Core 60 Optional
02 MA305-7-AU Nonlinear Programming Compulsory 15 Compulsory Compulsory
03 MA306-7-SP Combinatorial Optimisation Compulsory 15 Compulsory Compulsory
04 MA322-7-SP Bayesian Computational Statistics Compulsory 15 Compulsory Compulsory
05 MA323-7-AU Partial Differential Equations Compulsory 15 Compulsory Compulsory
06 MA902-7-FY Research Methods Compulsory 15 Compulsory Compulsory
07 MA319-7-AU Stochastic Processes Compulsory 15 Compulsory Compulsory
08 One autumn option from list Optional 15 Optional Optional
09 One spring option from list Optional 15 Optional Optional
10 MA199-7-FY Mathematics Careers and Employability Compulsory 0 Compulsory Optional

Exit awards

A module is given one of the following statuses: 'core' – meaning it must be taken and passed; 'compulsory' – meaning it must be taken; or 'optional' – meaning that students can choose the module from a designated list. The rules of assessment may allow for limited condonement of fails in 'compulsory' or 'optional' modules, but 'core' modules cannot be failed. The status of the module may be different in any exit awards which are available for the course. Exam Boards will consider students' eligibility for an exit award if they fail the main award or do not complete their studies.

Programme aims

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 55%.)

OR

To give advanced mathematical training to graduates of cognate disciplines.

To provide students with a research-type experience that will aid them in their approach to further research activity.

Learning outcomes and learning, teaching and assessment methods

On successful completion of the programme a graduate should demonstrate knowledge and skills as follows:

A: Knowledge and understanding

A1 Knowledge and understanding gained through the study at an advanced level of one or more areas of mathematics, statistics or operational research.
A101 One or more current areas of research in Discrete Mathematics and its Applications, including an awareness of the development of these areas of research.
Learning Methods: Lectures are the principal method of delivery for the concepts and principles involved in A1.

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
A101 is principally acquired through the preparation of an essay and a thesis on specialized topics.

During the production of their written work, students are expected to extend and enhance the basic course material concerning internet searching and the production of mathematical texts.

The research guidance during the summer is a critical aspect of this training.

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.
Knowledge and understanding is also assessed through the summer dissertation.

B: Intellectual and cognitive skills

B1 Identify an appropriate method to solve a specific mathematical problem.
B2 Analyse a given problem and select the most appropriate methods for its solution.
B101 Integrate and link information across course components.
B102 Under guidance of a supervisor, plan and carry out a piece of research and present the results in a coherent fashion.
Learning 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.

B101-2 These skills are initiated during the course of the preparation of the essay and are further developed during the course of the summer project.
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.
The level of attainment of these skills is also assessed through examination of the summer project.

C: Practical skills

C1 The ability to apply a rigorous, analytic, highly numerate approach to a problem.
C101 Use a mathematical word-processing package
C103 Make an effective literature search
C104 Prepare a technical report
C105 Give a presentation and defend their ideas in an interview.
Learning Methods: The practical skills of mathematics are developed, where appropriate, in exercise classes, laboratory classes, assignments and project work.

C1 is acquired and enhanced throughout the programme.
C3, C101 and C103-5 are developed during the course of the preparation of the essay and the thesis.
Assessment Methods: C1 is judged in all assessment throughout the programme.
C3 is assessed in this way and also by any computer output that forms part of the summer project

C101 and C103-105 are assessed through the MA902 essay and summer thesis.

D: Key skills

D1 Communicate mathematical arguments effectively.
D2 Use mathematical techniques correctly.
D3 Analyse complex problems and find effective solutions.
D4 Organise activity and manage time in the course of study.
Learning Methods: D1 is practised throughout the course in the writing of solutions to mathematical problems, both for assessment and as exercises, and (in some modules) writing reports or projects, and in group and individual project work.

D2 to D4 are developed in exercises and assignments throughout the course.
Assessment Methods: D1 is assessed through examinations, coursework and oral examinations.

Assessment of the key skills D2 to D4 is intrinsic to subject based assessment.

The assessment of MA902 includes specific allocations of credit for the quality of presentations (D1).
Key skills are also assessed via the summer project.


Note

The University makes every effort to ensure that this information on its programme specification is accurate and up-to-date. Exceptionally it can be necessary to make changes, for example to courses, facilities or fees. Examples of such reasons might include a change of law or regulatory requirements, industrial action, lack of demand, departure of key personnel, change in government policy, or withdrawal/reduction of funding. Changes to courses may for example consist of variations to the content and method of delivery of programmes, courses and other services, to discontinue programmes, courses and other services and to merge or combine programmes or courses. The University will endeavour to keep such changes to a minimum, and will also keep students informed appropriately by updating our programme specifications.

The full Procedures, Rules and Regulations of the University governing how it operates are set out in the Charter, Statutes and Ordinances and in the University Regulations, Policy and Procedures.

Should you have any questions about programme specifications, please contact Course Records, Quality and Academic Development; email: crt@essex.ac.uk.