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Statistics and Operational Research

Course overview

(MSc) Master of Science
Statistics and Operational Research
Current
University of Essex
University of Essex
Mathematical Sciences
Colchester Campus
Masters
Full-time
None
MSC G20312
http://www.essex.ac.uk/students/exams-and-coursework/ppg/pgt/assess-rules.aspx
15/04/2017

A degree with an overall mid 2.2 in one of the following subjects: Mathematics, Statistics, Operational research, Finance, Economics, Business Engineering, Computing, Biology, Physics or Chemistry.

Will consider applicants with a unrelated degree but which contained at least three modules in calculus, algebra, differential equations, probability & statistics, optimisation or other mathematical modules.

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 6.0 overall with a minimum component score of 5.5

If you do not meet our IELTS requirements then you may be able to complete a pre-sessional English pathway that enables you to start your course without retaking IELTS.

Additional Notes

The University uses academic selection criteria to determine an applicant’s ability to successfully complete a course at the University of Essex. Where appropriate, we may ask for specific information relating to previous modules studied or work experience.

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
02 MA305-7-AU Nonlinear Programming Compulsory 15 Compulsory Compulsory
03 MA306-7-SP Combinatorial Optimisation Compulsory 15 Compulsory Compulsory
04 MA318-7-AU Statistical Methods Compulsory 15 Compulsory
05 MA319-7-AU Stochastic Processes Compulsory 15 Compulsory Optional
06 MA902-7-FY Research Methods Compulsory 15 Compulsory Compulsory
07 Option from list Compulsory with Options 15 Optional Optional
08 Option from list Compulsory with Options 15 Optional Optional
09 MA322-7-SP Bayesian Computational Statistics Compulsory 15 Compulsory 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 enhance the general skills of students (including IT skills, presentation skills, problem solving abilities, numeracy and their ability to retrieve information in an efficient manner.)

To offer students the opportunity to study statistics and operational research to an advanced level within an environment informed by current research.

To provide students with advanced training that will be of use in a career as a statistician or operational researcher.

To provide students with training in the preparation of reports involving mathematical material, including correct referencing, appropriate layout and style.


To provide students with information that will help them to make an informed judgement as to the appropriate methods to employ when analysing a problem of a statistical or operations research nature.

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 A range of ideas concerning Statistics and Operational Research including methods appropriate in specialized applications.
A2 Ways in which statistical methods can aid understanding in the social sciences.
A3 Some of the limitations and assumptions underlying standard methods.
A101 The fact that apparently disparate methods may interconnect.
A102 One or more current areas of research in Statistics or Operational Research, including an awareness of the development of these areas of research.
Learning Methods: A1-A3 and A101 are principally acquired through the coherent programmes of lectures, exercises and problem classes.

These are supplemented, where appropriate, by the use of computers, computer packages, textbooks, handouts and on-ine material.

In most modules there is regular set work.

This work is marked and this process informs the course teacher of common difficulties that require extra attention during the subsequent problem classes.

A102 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: Knowledge and understanding are assessed through examinations and essays.
They are also assessed through the dissertation.

B: Intellectual and cognitive skills

B1 Analyse a mass of information and carry out an appropriate analysis.
B2 Express a problem in mathematical terms and carry out an appropriate analysis.
B3 Reason critically and interpret information in a manner that can be communicated effectively to non-specialists.
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: B1-3 These skills are developed through the regular coursework exercises.

In seeking to answer these exercises students become accustomed to identifying key facts in a body of information.

The problems classes provide back-up as required.
B101-102 These skills are initiated during the course of the preparation of the essay and are further developed during the course of the dissertation.
Assessment Methods: The level of attainment of these skills is assessed through the summer examinations.
It is also assessed through examination of the dissertation.

C: Practical skills

C1 Carry out analyses of complex data sets, design experiments & analyse practical OR problems.
C2 Use simple algorithms.
C3 Use computer programmes and/or packages
C101 Use a mathematical word-processing package.
C102 Make an effective literature search.
C103 Prepare a technical report.
C104 Give a presentation and defend their ideas in an interview.
Learning Methods: C1-C3 are developed through the programme of lectures, regular exercises and computer work.

C101-C104 are developed during the course of the preparation of the essay and the dissertation.
Assessment Methods: C1-C3 are assessed by regular coursework and examinations.
C3 is also assessed by any computer output that forms part of the dissertation.

C101-C104 are assessed through the essay and the dissertation.

D: Key skills

D1 Write clearly and effectively
D2 Use computer packages and/or programming languages for data analysis and computation and use computer packages for presentation of material to others.
D3 Enhance existing numerical ability
D4 Choose the appropriate method of inquiry in order to address a range of practical and theoretical problems.
D5 Learn from feedback and respond appropriately and effectively to supervision and guidance
D6 Work pragmatically to meet deadlines.
Learning Methods: D1 is promoted by class teachers’ feedback on written solutions to problems.

D2 results from the coursework associated with various modules.

D3 is a natural consequence of modules with high numeric content.

D4 is a consequence of the coursework, problems classes, lectures and laboratory work.

D5-6 result from a tightly timetabled course of lectures and submission dates that require the student to effectively organise time to meet deadlines.
D1 is also promoted by the supervisor of the essay and dissertation work.
Assessment Methods: Key skills are assessed throughout the degree via coursework and examinations.
They are also assessed through the dissertation.


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.