Introduction
There is always demand for well-qualified statisticians and management scientists in a wide range of industries and businesses, as well as government. Why? Because organisations need greater and deeper understanding of statistical and management science methodologies in order to analyse, interpret and extract value from the ever larger amounts of data provided by modern information technology.
This course aims to meet this need through both academic study and the development of applied analytical and modelling skills, mainly computer based. You will also learn the skill of communicating complicated statistical findings to ‘non-technical’ decision makers.The course equips people from a broad variety of academic backgrounds and professional experience with the knowledge and skills to apply statistical and operational research approaches to a huge range of practical situations. It demonstrates the wide applicability of these approaches within a business or industrial context.
In terms of preparation for a general management career, there are few better ways of gaining an overview and understanding of how organisations work. Typically, statisticians and management scientists are involved in projects which draw on a wide range of business skills and dealings with anyone from the shop-floor and front line, right up to boardroom level. In many organisations, such professionals are a prime source for recruitment into higher levels of general management.
Student's view
"I came to UWE to improve my statistical knowledge and to gain a deeper understanding of different modelling techniques. All these requirements were met thanks to UWE’s skilled staff; perhaps some of the best lecturers I have ever met!"
Olivier
Content
Based on an assessment of your individual needs, there may be some preparatory learning consisting of:
- independent directed reading on Statistics with structured guidance
- three days of classes on the Statistics software SPSS and Excel Solver during the two weeks prior to the start of normal classes
MSc full time
Semesters 1 and 2
- Applications of Statistics
- Decision Modelling
- Business Research Methods
- Statistical Models
- Operations Simulations and Forecasting
- Research Methods
- Option Module – either Applied Multivariate Techniques or Logistics Optimisation
- Dissertation
MSc part time
Year 1 – Semesters 1 and 2
- Applications of Statistics
- Decision Modelling
- Business Research Methods
Year 2 – Semester 1
- Operations Simulations and Forecasting
- Statistical Models
Year 2 – Semester 2
- Research Methods
- Option module – either Applied Multivariate Techniques or Logistics Optimisation
- Dissertation
Postgraduate Diploma full time
- Applications of Statistics
- Decision Modelling
- Business Research Methods
- Statistical Models
- Operations Simulations and Forecasting
- Applied Multivariate Techniques
- Logistics Optimisation
- Project – Statistics for Research
Postgraduate Diploma part time
Year 1 – Semesters 1 and 2
- Applications of Statistics
- Decision Modelling
- Business Research Methods
Year 2 – Semester 1
- Statistical Models
- Operations Simulations and Forecasting
Year 2 – Semester 2
- Applied Multivariate Techniques
- Logistics Optimisation
- Project – Statistics for Research
Please note: The content of the programme may change from year to year, so you might find some variation between that shown here and the final version of your course.
Please see our website for further details on this course, including in depth information on the core and option modules currently available.
Teaching and learning
An essential objective of this programme is that you will be expected to take major responsibility for your own learning through a high proportion of time spent on independent study.
Additionally, lectures, seminars, discussions, case studies and group work will be used to develop the topics covered in the modules and to allow for application of methods to particular problems. There will be extensive use of computer packages to assist analysis. Students come from a wide variety of industrial and commercial backgrounds and will be encouraged to present, discuss and evaluate techniques in light of their own perspectives and experiences, complementing the examples and experiences brought by the lecturers.
A variety of assessment methods will be used depending on the aims of the individual modules. Commonly, this consists of one piece of coursework and a written or oral examination. Extra help in mathematics and statistics is also available in the Department’s Mathematics and Statistics Resource Centre.
MSc students will undertake a 60 credit dissertation, guided and supported by a personal supervisor.
Study facilities
Bristol Institute of Technology hosts its own servers to provide Windows, Linux and Unix based operating systems. There are over 500 available workstations in our teaching laboratories, as well as a large open-access laboratory, providing PC and Unix based machines. The Bristol Institute of Technology has its own IT Helpdesk, staffed by students from within the Bristol Institute of Technology, and available for both students and staff to use. There are also 24 hour computer labs on campus available for student use.
The Bristol Institute of Technology operates an extensive pastoral care system that includes induction programmes and access to academic staff and student advisers for guidance and support throughout your time here as a student.
Study time
The course has been flexibly developed to allow those in full time employment to study part-time. Part-time students can expect to attend one day per week, either all day or from the early afternoon into the evening. Full-time students can expect to attend the University two days per week.
Assessment
A variety of assessment methods will be used depending on the aims of the individual modules. Commonly this consists of one piece of coursework and a written or oral examination per module.
Fees
Please contact the Bristol Institute of Technology Graduate School for information on fees payable and payment options or visit our money matters page.
Careers/further study
There is an increasing demand in business and industry for graduates with skills in quantitative analysis. One of the reasons for this demand is that there is a need for a greater and deeper understanding of statistical and management science techniques in today's organisations, where information technology is providing ever-increasing amounts of data to be processed, interpreted and exploited. This programme caters for this demand, and will enhance the career prospects of those who successfully complete the course.
In terms of preparation for a general management career, there are few better ways of gaining an overview and understanding of how organisations work. Typically, statisticians and management scientists are involved in projects which draw on a wide range of business skills and dealings with anyone from the shop-floor and front line, right up to boardroom level. In many organisations, such professionals are a prime source for recruitment into higher levels of general management.
Entry requirements
General requirements
You should have a quantitative background and be a good communicator. Although not a requirement for entry, some previous exposure to statistics and/or management science would be useful.
We welcome applicants without conventional entry requirements but who have substantial relevant work or other experience and who have the motivation and skills to succeed on the course.
International applicants (non UK and EU) should aim to apply by the end of June to allow time to arrange accommodation, finance and any visas.
English Language requirements
A recognised English Language qualification is normally required for entry to all programmes. If the medium of instruction of your first degree was not English, you are required to pass such tests as the British Council's International English Language Test (IELTS). All applicants for graduate entry programmes, Postgraduate Certificates, Postgraduate Diplomas, Master's and doctorate programmes must achieve a minimum grade of 6.5. Those who have achieved a grade of 6 may attend a pre-sessional English Language course to bring their language skills up to the required level.
Education and work experience
Typically, students enter the programme with a degree which has a significant quantitative content (though not necessarily with a statistical or management science focus). We would normally expect an honours degree at 2.1 or better. Alternatively, you may have a lower classification degree but with two or more years of appropriate experience; or have none of the qualification given above but have substantial work experience and a keen interest in developing your analytical skills. In both these cases it is likely that we would invite you for an informal interview.
