MSc Knowledge Discovery and Datamining (Industry based)
Why take this course? This is a very unique course, short-listed as one of the most innovative collaborations between Business and a University by the East of England Development Agency, and is one of the few academic qualifications of this type to be specifically tailor-made for the needs of industry. Teaching sessions take place mostly in the company. This in practice means that the students/employees can inter-link their academic work with their everyday work, putting to practices the principles they are learning in the classroom.
Some of the Modules may take into consideration knowledge and experience that the employees have acquire in the place of work, and may involve line managers in the assessment of skills and knowledge. We have run this course for Aviva for the last 14 years producing over 70 MSc graduates. There is scope for running this course for other interested companies
As a graduate from this course, you will be prepared for a career in data analysis. Job postings for data analysts, also called data scientists, are increasing rapidly (see graph taken from the LinkedIn Corp). The average salaries associated with jobs in Data Mining for the UK, during 2010-2012 are between £44,000 and £52,000. The degree can also act as a very good platform for a research degree in KDD.
What is KDD?
All organisations depend on high quality information for making strategic decisions. The information is often derived from the rapidly growing mountains of raw data generated from the organisations’ computerised operational systems. This task requires a new generation of analysts with knowledge of effective and efficient data analysis methods and understanding of the process known as Knowledge Discovery and Data Mining (KDD). The popularity of this area is driven by its tremendous application potential in areas as diverse as finance, medicine, biology and the environment.??
Why study this subject in UEA?
The Data Mining, Machine Learning and Statistics group at UEA comprises eight faculty members, eight research assistants and between 10 and 20 PhD students. As such, it is one of the largest such groups in the UK.
Members of the group have made significant contributions in techniques for data mining and KDD in the last 10 years, in particular: KDD Methodologies; use of metaheuristics for rule and tree induction; all-rule induction; clustering techniques; feature subset selection; feature construction, as well as many applications in the financial services industry, medicine and telecommunications.
Support for this research has been received from BBSRC, EPSRC and The Royal Society as well as numerous companies (including Alston Transport, Derbyshire Police, Lanner Group, Master Foods, MET Office, National Air Traffic Services, Aviva, Process Evolution Ltd., Simultec AG Zurich and Virgin Money).
Master students will be part of our vibrant research community and will have very good opportunities for progression to PhD.
Teaching and Assessment.
On this course you will take compulsory modules in data mining, statistics and visualisation as well as project modules on data mining and statistics which will allow you to put what you have learn into practice in the context of your own organisation. There are also optional modules on database manipulation, Marketing Leadership and meta-heuristics. Assessment will be conducted using a variety of formats including essays, project reports, presentations, and examinations. The dissertation will again be a project relevant to your company and it will give you the opportunity to show the mastery of the skills you learn through the course.
This programme has full Chartered IT Professional (CITP) accreditation (Further Learning Element) as well as leading to Chartered Engineer (CEng) status from the (BCS - The Chartered Institute for IT).