Big data

04 July 2016 – 07 August 2016

Course details

  • Duration: 5 weeks part time online (Approximately 2-4 hours per week of online learning; the structure is modular to allow for catch-up and progressive course building for flexibility) and 2 days of face-to-face lectures in London.
  • Location: Online; London, UK
  • Fees:
    - NHS/Academic/Public Sector £650
    - Corporate £950
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This course will enable participants to understand emerging trends and issues in eHealth and how to manage technology initiatives that produce innovations to impact digital management of healthcare information.

Online Session Commences: 04 July 2016
Face to face session held in London: 20 & 21 July 2016
Online Session Concludes: 07 August 2016

 

More information

Learning outcomes

  1. Recognise key concepts of data science in healthcare
  2. Evaluate key policy issues and considerations relating to Information Governance and data science
  3. Evaluate machine learning, appropriate use of programming languages/methods and systems infrastructure
  4. Generate methods for data visualisation to analyse healthcare data sets
  5. Design and specification of a data science project

Course structure

The programme is being delivered by blended learning; this allows you to experience the majority of course materials and lectures on-line, combined with face-to-face classroom work. This is a 5 week part-time course that is delivered both on-line and via 2 classroom-based lecture days in London. The format is designed to be flexible to allow you to pursue the course content alongside your work or in your free time via our moderated online learning management system. The face-to-face sessions will provide an opportunity to meet your class cohort in person and also consolidate learning via practical case-driven exercises at Imperial College.

We have designed the course this way to allow you the time to reflect and absorb teaching, as opposed to intense multi-day continuing professional development which can be both intense and time consuming. Our method of blended learning brings you the best of both online and classroom-based experience.

Learning modules

* Please note the below modules are accurate at time of publication and will be expanded throughout the summer.

Principles of data science, Health and how they collide
This module will introduce data science and the information management opportunities since the creation of the Internet to the present day. A survey of the development of Health systems from the same era shall be covered. The module will then cover how data science and healthcare systems combine to provide the potential for rich insights in clinical and personal data management.

Design Thinking, Infrastructure and Systems Implementation
This module will explore the systems engineering methodology of ‘design thinking’ and how to apply these methods to data science projects. This module will also explore infrastructure required to support data science initiatives.

Fundamentals of Data Visualisation
This module will introduce key concepts in data visualisation and how to use tools (Tableau, QlikView and others) to make data results come to life.

Information Governance and Data results deployment
This module will explore the policy implications of data science projects and provide a survey of the current Information Governance issues being faced in the enablement of data science projects. This module will also consolidate learning from previous modules to allow participants the ability to present approaches in the development of data science initiatives.

Who should attend?

This course is open to all participants with an interest in the application of Information and Communication Technologies (ICT) within healthcare. The course content is designed to enable ICT professionals with the foundational skills to necessary to implement and manage data science projects in healthcare.

Imperial’s Global eHealth Unit and EIT ICT Labs Professional School identified a niche for providing professionals interested in technology projects with an approachable framework to begin to engage with these subjects. These two courses are designed to provide a foundation to get past the buzzword hype, provide principles to inform what is happening with the state of the art, and then give practical, case-study driven examples to provide a means to understand key concepts. Our courses are delivered in two parts: the first being a focus on principles, the second being a focus on industry application. To deliver this, we have researchers introducing key concepts, theories and frameworks, whilst we have industry collaborators making these concepts come to life with real world examples and cases. This combination will have you leaving our courses with ideas and perspectives that you can immediately implement at your organisation or on your next project.

If you are looking to launch a new company in eHealth and data science in healthcare, are a technology manager with oversight on teams delivering these initiatives or have general interest in moving into this space, then these courses are for you.

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