Visual Computing
Computing, Engineering and Technology
Research
MRes
Visual Computing
Research
MRes
Overview
Application Timeline
Tuition
- Year 1
| Student categories | Study | |
|---|---|---|
| Full-time | Part-time | |
| EU | £21,850 | N/A |
| International | £21,850 | N/A |
| Wales | £4,800 | N/A |
| Scotland | £4,800 | N/A |
| England | £4,800 | N/A |
| Northern Ireland | £4,800 | N/A |
Requirements
Language requirements information is currently unavailable.
Modules
computer vision and pattern recognition
Coredata visualisation
Coregraphics processor programming
Core
About
Program Purpose
The MRes in Visual Computing is designed to prepare students for research careers or specialized roles in the field of visual computing.
Research Areas
Key research areas include:
- Computer Graphics
- Computer Vision
- Medical Imaging
- Scientific Visualisation
Program Structure
Students are expected to be self-motivated and engage in substantial individual study, focusing on curiosity-driven research at an advanced level. The program includes:
- Selection of a dedicated research topic in consultation with a supervisor.
- Evaluation of current research complemented by a personal research program.
- Taught courses on relevant literature
Subject Area Information
Computer vision is a dynamic and rapidly evolving field within computer science that focuses on enabling machines to interpret and understand visual information from the world. This discipline combines elements of artificial intelligence, machine learning, image processing, and pattern recognition to develop systems that can analyze and make decisions based on visual data.
1. Introduction to Computer Vision
2. Image Processing
3. Machine Learning for Computer Vision
4. 3D Computer Vision
5. Video Analysis and Understanding
- Image and Video Processing
- Machine Learning
- Programming
- Mathematical Foundations
- Problem-Solving
Career
A discipline in computer vision equips students with the technical skills and theoretical knowledge to develop sophisticated systems capable of interpreting and acting on visual information, opening doors to a wide range of innovative and impactful careers.
Computer Vision Engineer
Develop and implement algorithms for interpreting visual data in various applications.
Machine Learning Engineer
Focus on creating models that can learn from and make predictions based on visual data.
Robotics Engineer
Design and develop vision systems for robots to navigate and interact with their environment.
Research Scientist
Conduct cutting-edge research in computer vision and publish findings in academic journals.
Software Developer
Create software applications that utilize computer vision technologies for industries like healthcare, automotive, and security.
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