MSc ACS: Artificial Intelligence / Course details
Year of entry: 2024
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Artificial Intelligence is a well-established, exciting branch of computer science concerned with methods to make computers, or machines in general, intelligent - so that they are able to learn from experience, to derive implicit knowledge from the one given explicitly, to understand natural languages such as English, Arabic, or Urdu, to determine the content of images, to work collaboratively together, etc. The techniques used in AI are as diverse as the problems tackled: they range from classical logic to statistical approaches to simulate brains.
This pathway reflects the diversity of AI in that it freely combines a number of themes related to AI techniques, namely Making Sense of Complex Data, Learning from Data, Reasoning and Optimisation, and Advanced Web Technologies.
Teaching and learning
Coursework and assessment
Lectures and seminars are supported by practical exercises that impart skills as well as knowledge. These skills are augmented through an MSc project that enables students to put into practice the techniques they have been taught throughout the course.
Course unit list
The course unit details given below are subject to change, and are the latest example of the curriculum available on this course of study.
|Foundations of Machine Learning||COMP61011||15||Mandatory|
|Cognitive Robotics and Computer Vision||COMP61342||15||Mandatory|
|Querying Data on the Web||COMP62421||15||Optional|
|Displaying 10 of 11 course units|
|Display all course units|
Additional fee information
Scholarships and bursaries
Across our institution, we offer a number of postgraduate taught scholarships and awards to outstanding UK and international students each year.
The University of Manchester is committed to widening participation in master's study, and allocates £300,000 in funding each year. Our Manchester Masters Bursaries are aimed at widening access to master's courses by removing barriers to postgraduate education for students from underrepresented groups.
- Newly refurbished computing labs furnished with modern desktop computers
- Access to world leading academic staff
- Collaborative working labs complete with specialist computing and audio visual equipment to support group working.
- Over 300 computers in the Department dedicated exclusively for the use of our students.
- An Advanced Interfaces Laboratory to explore real time collaborative working;
- A Nanotechnology Centre for the fabrication of new generation electronic devices;
- An e-Science Centre and Access Grid facility for world wide collaboration over the internet.
- Access to a range of Integrated Development Environments (IDEs)
- Specialist electronic system design and computer engineering tools.