Professional/Short course Advanced AI, Computer Vision and Cyber Security

Entry year
2025/26
Course code
UFCFFV15M
Application
University
Level
Professional/Short Course
School
School of Computing and Creative Technologies
Campus
Frenchay
Duration
12 weeks
Delivery
Face-to-face
Course Director
Dr Wenhao Zhang

Page last updated 6 May 2025

15 credit level 7 module

Introduction

This 15 credit module, Advanced AI, Computer Vision and Cyber Security, provides you with the opportunity to learn state-of-the-art machine learning, including deep learning with application to big data and image analysis. 

The aim of this module will be to build on the data analytics introduced in the compulsory module, AI and Computer Vision, Applications in Healthcare, which will allow advanced analysis of data from a qualitative and quantitative perspective.

With these advanced tools, you will have the opportunity to design algorithms based on clinical studies that address the key chronic diseases such as neurodegeneration, cancer and metabolic disorders, to better diagnose patients, prescribe the right treatments and monitor the evolution of disease. The second part of the module will detail advances in cyber security with a particular focus on General Data Protection Regulation (GDPR). 

On successful completion of this module, you will be able to:

  • develop innovative AI-driven algorithms based on clinical studies to tackle key challenges in chronic disease and Health Technology. 
  • critically appraise the application of technology in the area of Advanced AI, Computer Vision and Cyber Security.

Structure

Content

The module syllabus typically includes the following:

  • Advanced coding, programming and data analytics. This element will build on the basic programming and image data analytics developed in the AI, Computer Vision and Robotics Applications in Healthcare module.
  • Deep Learning: AI and Deep Machine learning in real world projects.
  • Image data processing, data fusion, pattern analysis: Use data from single or multiple sources and extract useful features from these data.
  • Cyber Security: This aspect of the module will detail advanced concepts of cyber security with a particular focus on GDPR.

 

Learning and Teaching

The module will be delivered through a series of lectures, tutorials and interactive practical classes. 

Assessment

Assessment for this module comprises a portfolio comprising a report (1,500 words) and demonstration of code (10 minutes). A collection of works developed based on a case study exploring the application of AI in Health Technology, designed to provide a structured, real-world learning experience in AI-driven healthcare solutions.

The case study will be introduced through a series of lectures and practical sessions over several weeks, during which code templates will be provided to support the portfolio's development.  

Features

Study facilities

UWE Bristol is superbly equipped with libraries and computer labs, and an excellent campus environment.

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

Take a personalised virtual tour of the Computer Science and Creative Technology 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. 

For further information

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