Learn how to gain business insights from the intelligent use of large data sets
Are you looking to build your quantitative consultancy skills? Join us to learn how to gain insights from large data sets through the use of statistical methods, optimisation techniques and predictive models, and apply these to business problems. Gain an understanding of the role of business analytics within an organisation, improve your business acumen and communication skills, and get some commercial research experience for your CV through your project and dissertation.
You will study four compulsory modules in term 1 to give you an overview of key business areas (plus the compulsory Project Skills module), and take four optional modules of your choice on this one-year course. Please note that availability and delivery modes may vary. All students will undertake a dissertation.
Assessment is usually a mix of exams, group projects and coursework. Your project and dissertation will either be as a consultant to an organisation or as applied research.
We support the learning of multiple programming languages with access to a variety of interactive online materials, covering SAS programming (provided by the SAS Institute), R and Python (provided by Data Camp). Several modules feature application of such programming languages in their syllabus.
Your final dissertation could be a consultancy project or an individual research project. Both will require you to submit a 10,000-word dissertation at the end. You will often complete a client report in addition to your dissertation if you are working on a consultancy project.
Previous dissertation projects
- UniCredit Bulbank: Effect of Development of Personalized Offers to a Sub-Segment of Clients of UniCredit Bulbank
- Sainsbury's: An Application of Multinomial Logit Modelling in E-fulfilment Demand Management
- Barclays: Optimising branch staffing levels
- Dunlop oil & marine: improvement of short & long term sales forecasting methodology for a mainly project-based business
- Whittington Health: Scheduling patient appointments in an IAPT Service within the NHS
A research project allows you to explore a topic critical to effective decision-making in organisations. Supervised by one of our academics, demonstrate you can undertake systematic and rigorous applied research over 12,000 words.
Previous research projects
- Tackling Resource Contentions in Project Management
- Exploiting AirBnB data to enhance hotel revenue management
- Demand modelling for bike sharing
- Spending trend and family structure
- Travelling salesman problem: Investigating special structures in optimisation.
You must have, or be expecting to obtain upper second class honours at Undergraduate level in a relevant subject. We consider applications from a wide range of degrees including economics, business, engineering, psychology, geography, sociology, and politics. The course requires strong numeracy and IT statistical ability.
GMAT & GRE
We do not automatically require a GMAT or GRE score but may request one to verify specific competencies.
English not your first language?
If English is not your first language, you must meet a minimum overall standard in a recognised test of English, examples are shown below. You must show a good balance across all sections of the test and it must have been taken within two years of starting the course. We will require your certificates as evidence.
Educated in the English language?
If you are a non-native speaker of English but have been educated entirely in English for your degree, and completed this within the last two years, this may satisfy the University of your language skills. For further information, please see the University’s page for English language requirements.
We do not offer a pre-sessional English class as an alternative to achieving these scores. Any pre-sessional course should be viewed as a way of settling into living and studying in the UK and not as a way of boosting your score.
It is likely that some of the modules on the course will utilise Virtual Machines (VMs) to run certain software. As such, students undertaking the course are required to have their own laptop, running either Windows or Mac operating systems, with at least 8GB of RAM and at least 75GB of free hard disk space. Laptops with less RAM may be used although the VMs will not run as efficiently. Laptops with between 4GB and 8GB RAM may be used although the VMs will not run as efficiently.
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Last updated November 12, 2018