About the Course

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

Scientific computing is a key component of Data Science in healthcare because computation is what transforms data to information. Students of this module are exposed to key theoretical
concepts underpinning the development of efficient algorithms such as data structures, broad computation constructs (iteration, recursion, expression and others) and computational complexity.

In parallel to this, students are also exposed to a set of key applied mathematics concepts to be able to turn the knowledge captured in academic papers in working practical code.

These two fundamental components are brought together through the use of realistic scenarios from contemporary problems and complemented via parallel computing (e.g. Hadoop), to deal with computationally intense problems.

The course is based on the Python programming language but at the same time there are clear parallels that are made to other packages such as R, Stata, SAS, SPSS and MATLAB / OCTAVE.

Learning Outcomes

The course focuses on the imperative programming paradigm that is followed by the majority of scientific computation packages such as MATLAB, Octave, SPSS, R, SAS, Python, Julia and others. Other learning outcomes include the use of source version control, structured documentation and parallel computing.

Who Should Attend

The course is designed for researchers and other health professionals who have had some experience in writing code to solve problems before but would be interested in getting up to speed quickly with the current state of the art.

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

Basic ICT skills and knowledge of the healthcare environment are essential for participants to engage with the content of the course. Research experience is desirable but not essential.

Please note that a laptop computer is essential for the delivery of this module.

Course Credits

The “Scientific Computing in Healthcare” module (PMIM102), carries 20 postgraduate level credits and these are awarded on completion of the module’s assessment.

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