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Online advanced computing and AI degrees


If you're passionate about technology and you're looking to develop your skills and knowledge then we've got you covered.

With demand for expertise in the digital, data and technology fields at an all-time high, there’s never been a better time to advance your career in tech. At the forefront of established and emerging technologies, you’ll be encouraged to apply your new ideas and learning in practice - whether you’re developing Artificial Intelligence applications, harnessing the power of machine learning or managing a data centre.

Our advanced computing and AI postgraduate portfolio has been designed to be studied 100% online, giving you the flexibility to learn and advance your career around your other commitments.


Online technology degrees for career and personal development

If you're looking to develop in your existing role, planning for a future career change or just keen to learn something your passionate about, you can do it with supported distance learning from the Times Higher Education (THE) 2023 University of the Year.

Scroll down if you'd like to see our advanced computing and AI courses or visit our about us page if you'd like to know more about distance learning with ARU. If you have any questions then please do not hesitate to get in touch.


96% of our Alumni would recommend studying with ARU Distance Learning*


Our online advanced computing and AI courses



This master's degree will give you the expert knowledge and skills to analyse complex data and develop Artificial Intelligence applications. It's ideal if you work in business or technology and want to upskill in your existing role to support your career aspirations. It’s also ideal for anyone with a passion for AI but has no prior exposure or relevant degree in computing or AI. Designed in response to the high demand for experts in AI, machine learning and data mining.
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Develop the skills to harness the power of machine learning with our Embedded Computing on Arm PG Cert. Developed in partnership with Arm, the global leader in CPU technology, you'll focus on their revolutionary technologies and benefit from industry expertise. It's ideal if you’re currently working, or aspire to work, in the fields of embedded computing, technology or AI and want to develop your skills and advance your career.
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Our Embedded Computing and Machine Learning MSc is ideal if you work in or aspire to work in a computing, artificial intelligence or an embedded technology related role. It will equip you with the knowledge and skills to excel in your current role and open doors to further your career. The course has been partly developed in partnership with Arm, the global leader in CPU technology.
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Delivered by the leader in technical education for for the digital infrastructure industry, CNet Training (as an academic partner of ARU), the world's first and only master's in Data Centre Leadership and Management is the ultimate qualification for data centre professionals to aspire to. The course is based around your professional work in order to ensure that the learning is relevant.
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Flexible online learning that supports your passion.

Because we appreciate the challenges of fitting studying around work and family, flexibility is at the heart of our online advanced computing and artificial intelligence degrees.

You'll study our technology courses online through Canvas, our world-class Learning Management System (LMS), which is optimised for all major devices and accessible from anywhere in the world — and you'll enjoy the same quality of staff support as campus-based students.

Canvas allows you to keep in contact with your tutors and other students, access your learning materials, and submit your assignments

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If you'd like to talk to our experienced team about our online advanced computing and artificial intelligence degrees, ARU or any aspect of completing further education via distance learning then please do not hesitate to contact us.
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92% of our alumni surveyed said the effort and expense was worth the outcome*


*2023 alumni survey with 158 respondents