Data Science

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 Data Science course at the University of East Anglia – 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.

Careers

• Data scientist

• Data analyst

• Data miner

• Business intelligence analyst

This course has been accredited by the British Computer Society for full CITP and partial CEng. Accreditation means that a candidate has fully or partially fulfilled the academic requirement for registration as a Chartered IT Professional (CITP) and Chartered or Incorporated Engineer (CEng / IEng) and / or a Chartered Scientist (CSci) and / or Registered IT Technician (RITTech).

Courses include:

• Applied Statistics

• Data Mining

• Dissertation

• Research Techniques

• Artificial Intelligence

• Information Visualisation