Course summary
Machine Learning (ML) has a great impact on our daily lives. Developments in ML are built on improved systems that can train and generate increasingly powerful models. Systems design greatly impacts ML performance and capability. Major advancements are made when ML and systems are developed and optimised together. This is relevant across many industries such as:
- in-car systems
- medical devices
- mobile phones
- sensor networks
- condition monitoring systems
- high-performance computing
- the creative industries
- patient care
- social networking
- high-frequency trading
Modules
See the University of Edinburgh website for detailed programme information.
Entry requirements
Entry requirements for individual programmes vary, so please check the details for the specific programme you wish to apply for on the University of Edinburgh website. You will also need to meet the University’s language requirements.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
The University of Edinburgh
The University of Edinburgh
Old College
South Bridge
Edinburgh
EH8 9YL