115 New Cavendish Street, W1W 6, London
Tel.+44 (0)20 7911 5000
|Course Type: Master||Level: 1|
|Start Date:||15/09/2016||End Date:|
This course addresses the need to propel information gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision making. The course, which builds on the strengths of two successful courses on data mining and on decision sciences, is more technology focused, and stretches the datamining and decision-sciences theme to the broader agenda of business intelligence.
You will focus on developing solutions to real-world problems associated with the changing nature of IT infrastructure and increasing volumes of data, through the use of applications and case studies, while gaining a deep appreciation of the underlying models and techniques. You will also gain a greater understanding of the impact technological advances have on the nature and practices adopted within the business intelligence and analytics environments, and know how to adapt to these changes.
The following modules are indicative of what you will study on this course. For more details on course structure and modules, and how you will be taught and assessed, see the full course document on the master website.
- Data Mining
- Research Methods and Professional Practice
- Statistics and Operational Research
- Business Optimisation
- Computing for Business and Management
- Data Management and Repositories
- Data Visualisation and Dashboarding
- Data Warehousing and OLAP
- Database Languages
- Project Management
- Risk Modelling and Simulation for Business and Industry
- Web and Social Media Analytics
You are expected to already have quantitative skills, with an interest in developing these further to support postgraduate activity in analysing, evaluating and reporting on a range of real-world data-intensive problems.
You will have a suitable Honours degree from a UK university (or equivalent qualification) in a scientific or engineering discipline with some exposure to the use of IT, or in an area of computer science or IT with a strong interest in quantitative analysis. If you do not have a formal qualification, but you are already in employment, you may be considered if your role involves the data-mining and decision-support techniques and technologies deployed in the course.
If your first language is not English you will need also an IELTS score of 6.5, with 6.0 or above in each element, or equivalent.
Graduates can expect to find employment as consultants, decision modelling or advanced data analyst, and members of technical and analytics teams supporting management decision making in diverse organisations.
Typical employers include local authorities, PLCs (such as GlaxoSmithKline, Prudential, Santander and Unilever), public sector organisations (such as the NHS and primarily care trusts), retail head offices, the BBC, the Civil Service and the host of banks, brokers and regulators that makeup the city, along with all the specialist support consultancies in IT and market research and forecasting, all of the whom us data for the full range of decision making.