About the Course

We next expect to offer this course as CPD in academic year 2018/2019.

Data scientists working in healthcare are called to deal with problems involving classification and pattern recognition. The objective of this module is to provide the essential theory and practical aspects of widely used machine learning software.

Learning Outcomes

  1. Examine the basic framework of data mining in general and machine learning in particular and their relationship with different clinical encoding and classification systems. 
  2. Compare and contrast basic data summarization models developed within the field of data mining (such as classification, prediction, clustering and association models). 
  3. Design and apply data mining models to representative problems often encountered in health applications. 
  4. Employ key scientific packages used in healthcare to apply classifiers to clinical data. 
  5. Evaluate the impact of clinical classification and encoding schemes on data quality and classification performance. 
  6. Critique research publications.

Who Should Attend

This is a technical course designed for beginners or individuals who may have had some involvement with databases through typical roles in a data analysis environment and are seeking to expand their knowledge and understanding of manipulating healthcare related data through relational databases.

Course Delivered by

Associate Professor Tony Paget

Tony Paget - Lecturer PortraitTony Paget’s background was in psychiatric nursing, but took an early interest in health informatics via participating, then organising the European Summer School of Nursing Informatics through the 1990s. He has been a qualified higher education teacher since 1998 and helped design Swansea University’s successful MSc in health informatics in 1999. He became the course director in 2011.

Course Pre-requisites

A general understanding of what project management entails, and a willingness to explore the subject in depth. Candidates need not have managed projects before in order to attend this course, but may be looking to take on work related project management in the future.

Course Credits

Machine Learning in Health Data (Module PMIM 402) carries 20 Masters Level Credits and these are awarded on completion of a successful assignment.

However, students who wish to attend for Continuing Professional Development (CPD) purposes only will omit the assessment and be given a Certificate of Completion.

Course Fees

The course fees for EU/UK students for this module are £695.00.

International students please enquire for further details of course fees.

Applications are currently closed.

Contact Us

Course Enquiries:
Tony Paget
Associate Professor & Course Director
MSc Health Informatics, MSc Health Data Science and MRes Health Informatics

Marketing Enquiries:
Stephanie Lee

Data Science Building, Swansea University Medical School, Singleton Park, SWANSEA SA2 8PP, Wales, UK

+44 (0)1792 602874