MSc Data Science and Artificial Intelligence (Online)

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Tuition fee
Apply by
Start date
May 2025
Oct 2025
Oct 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
2 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

Designed for students from a non-computing background, this programme will develop your key knowledge and technical skills that you can apply immediately in the workplace. You will learn how to gather and analyse information to make data-driven decisions, and how intelligent systems can be used across a range of contexts. 

Your learning will be supported by the cutting-edge research into the field by the University of Liverpool, who is a world leader in data science and artificial intelligence research. Our Digital Innovation Facility, which officially opened in 2022, provides a purpose-built environment for cutting-edge research into multiple academic disciplines including AI, robotics and data analytics. 

You will have access to an online development environment to practice and refine your new technical skills, which also contains all of the technologies and software you will need for the course – inclusive within your tuition fee. 

Throughout the course you will be encouraged to apply your new skills to a range of real-world challenges, and upon completion you will be prepared to research, create and implement solutions to technical problems within your future career. 

Download a prospectus for more details on this programme including module information. 

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Requirements

The requirements may vary based on your selected study options.





















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Use our magical AI system, to check your admission chances for this course.
Tuition fee
Apply by
Start date
May 2025
Oct 2025
Oct 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
2 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs