Professional course AI, Computer Vision and Applications in Healthcare

Entry year
2021/22
Course code
UFMFEV30M
Application
University
Level
Professional/Short Course
Department
Applied Sciences
Campus
Frenchay
Duration
Two semesters
Delivery
Face-to-face/Online
Course Director
Dr David Western

30 credit Masters level module

Page last updated 10 June 2021

Introduction

The Introduction to AI, Data Analytics and their Application in Healthcare module aims to provide the platform to introduce data analytics and programming that will enable you to understand simple machine learning and informatics, as well as the broad applications and implications of AI and computer vision in healthcare. By the end of this 30 credit Masters level module, you will be able to complete basic programming, recognise the different types of health and healthcare data and apply imaging processing and machine learning approaches to better utilise this data.

Careers / Further study

This 30 credit Masters level module can contribute towards the MSc Health Technology.

Structure

Content

The course syllabus includes:

  • Introduction to AI, data analytics and their application to healthcare
  • Mathematics and computer programming fundamentals for data science
  • Simple computer vision and machine learning
  • Health informatics and big data frameworks
  • Medical imaging
  • The future of computer vision and machine learning in healthcare
  • Defining cyber security.

Learning and Teaching

The module content will be delivered through a combination of lectures (with embedded interactive sessions as appropriate) and computer lab sessions.

Assessment

There are three pieces of assessment: a two hour exam and two written reports (a literature review and a data analysis report).

Features

Study facilities

The Faculty of Health and Applied Sciences has an excellent reputation for the quality of its teaching and the facilities it provides.

You'll have access to a range of on-campus and online facilities to support your learning, including the University Library which is open 24 hours a day.

Prices and dates

Supplementary fee information

Please visit ourĀ full fee informationĀ to see the price brackets for our modules.

Dates

Please click on the Apply Now button to view dates.

How to apply

How to apply

Please apply online using the Apply Now button located at the top of the page.

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For further information