Professional/Short course AI and Computer Vision, Application in Healthcare

Entry year
2025/26
Course code
UFMFEV30M
Application
University
Level
Professional/Short Course
School
School of Engineering
Campus
Frenchay
Duration
Two semesters
Delivery
Face-to-face/Online
Course Director
Dr David Western

Page last updated 6 May 2025

30 credit level 7 module

Introduction

The 30 credit module, AI and Computer Vision, Application in Healthcare, 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.

On successful completion of this level 7 (Masters level) module, you will be able to:

  • critically discriminate between key concepts in the fields of AI, computer vision, autonomous systems, big data, and informatics. 
  • appraise common informatics tools and approaches, in general and for specific healthcare applications. 
  • critically evaluate existing implementations of AI, computer vision and informatics. 
  • demonstrate ethical and professional values with respect to the development of innovative technologies in Health Tech. 

Careers / Further study

This module can contribute towards the MSc Health Technology.

Structure

Content

The course syllabus typically 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, tutorials and interactive practical classes.

Assessment

Assessment for this module comprises:

  • a written assignment - data analysis report - (2,500 words maximum) where you will summarise the practical work carried in one or more of the 'sprints', reporting to a hypothetical product owner and reflecting on the process for the sake of continuous improvement within their hypothetical organisation.  
  • a presentation - viva voce examination - which will focus on the topics of the written work, providing further opportunity for you to demonstrate your independent achievement of the learning outcomes in a different format. 

Features

Study facilities

Find out more about the facilities and resources UWE Bristol has to offer.

Take a personalised virtual tour of the Engineering facilities and experience what a typical day could look like here for you.

Prices and dates

Supplementary fee information

For information on fees, managing your money and determining your fee status, please go to our fees and funding pages.

Dates

Please click on the Apply Now button to view dates.

How to apply

Please click on the Apply Now button to apply for your CPD module, which you can take as a stand-alone course or as part of an undergraduate or postgraduate (Masters level) programme.

Please read our Terms and Conditions.

Extra information

If the course you are applying for is fully online or blended learning, please note that you are expected to provide your own headsets/microphones.

For further information

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