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    School of Computing Sciences Logo
  • Study Type

    Full time & Part time available

  • Subject Areas

    Computer Science

  • Start Date

    September

  • Course Duration

    1 year full-time, 2 or 3 years part-time

  • Course Type

    MSc

  • Last Updated

    27 July 2018

Course content

Overview

Organisations today have a vast amount of raw data generated from their computerised operational systems. So how will they turn this into high quality information for strategic decision-making? They need a new generation of data analysts who understand effective and efficient data analysis methods and the Knowledge Discovery and Data Mining (KDD) process. This course – one of the most established in this area with over 15 years of history – offers an excellent platform to help you forge a successful career in data analysis. As a student, you will be part of our vibrant research community and will have very good opportunities to progress to a PhD. You will be part of a research group that has made significant contributions in techniques for data mining and KDD – including KDD Methodologies; use of metaheuristics for rule and tree induction; all-rule induction; clustering techniques; feature subset selection; feature construction; time series classification as well as many applications in the financial services industry, medicine and telecommunications. The research group has collaborated in research or consultancy projects with a wide range of organisations, including: the Biotechnology and Biological Sciences Research Council (BBSRC), the Engineering and

Physical Sciences Research Council (EPSRC), the Institute and Faculty of Actuaries and The Royal Society, Alston Transport, Derbyshire Police, Lanner Group, Master Foods, MET Office, National Air Traffic Services, Aviva, Process Evolution Ltd, Simultec AG Zurich, Virgin Money and the Norwich Football Club. What’s more, this degree has full Chartered IT Professional (CITP) accreditation (Further Learning Element) as well as partial fulfilment of Chartered Engineer (CEng) status from The Chartered Institute for IT (BCS). You will graduate with a wealth of knowledge, prestigious connections and research experience – putting you one step ahead of other graduates in your career or further studies.

Course Structure

The MSc Knowledge Discovery and Data Mining course can be taken as a full-time, one-year taught programme, designed for advanced students and practitioners. You can also take it part-time over two or three years. On this course you will take compulsory modules in research techniques, data mining, statistics and artificial intelligence or visualisation. Alongside this you’ll take two optional modules from a range – which may include applications programming, database manipulation, human computer interaction, computer vision or a research topic. A key element of the course is your dissertation, which will give you the chance to explore a topic or work on a problem (which may be with an industry partner) in depth, under the supervision of a member of faculty.

Disclaimer

Course details are subject to change. You should always confirm the details on the provider's website: http://www.uea.ac.uk


Visit the MSc Knowledge Discovery and Data Mining page on the University of East Anglia website for more details!

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