Degree Subject - Computing, Mathematics or a related subject.
Degree Classification - Good first degree (minimum 2.1 or equivalent).
Months of entry
This course is designed to train highly qualified data analysts – or data scientists – to embark on careers in a wide range of industries. You’ll be given an excellent practical and theoretical grounding in data mining and statistics with the chance to customise your degree through modules in artificial intelligence, visualisation, programming and database manipulation.
Data Scientists are highly prized for their advanced, practical skill set and their increasing importance to the success of a modern business. Organisations in almost any industry need to source, analyse and utilise vast amounts of data to aid strategic decision-making, so you’ll have great graduate career prospects as well as a wide range of transferrable skills.
We have a large Data Mining, Machine Learning and Statistics research group, which has made significant contributions to the field in the last 10 years, so you’ll be working directly with pioneering experts.
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.
Information for international students
Students for whom English is a Foreign language
We welcome applications from students whose first language is not English. To ensure such students benefit from postgraduate study, we require evidence of proficiency in English. Our usual entry requirements are as follows:
- IELTS: 6.5 (minimum 6.0 in all components)
- PTE (Pearson): 58 (minimum 50 in all components)
Test dates should be within two years of the course start date.
Other tests, including Cambridge English exams and the Trinity Integrated Skills in English are also accepted by the university. The full list of accepted tests can be found here: Accepted English Language Tests
INTO UEA also run pre-sessional courses which can be taken prior to the start of your course. For further information and to see if you qualify please contact firstname.lastname@example.org
Qualification and course duration
Course contact details
- Postgraduate Admissions Office
- +44 (0)1603 591515