BSc (Hons) Embedded Computing and Machine Learning

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Explore data analysis, machine learning, neural networks and artificial intelligence algorithm design, while topping up your existing qualification to a full degree in just one year.

Embedded computing is at the heart of almost all modern digital systems, from the automotive industry to healthcare, and science to finance.

More than 20 billion microprocessors and microcontrollers are currently providing intelligent features, smart capabilities, personalised interfaces and optimised communications to an incredibly wide range of devices.

Study at ARU in Cambridge and explore the world of embedded computing. Learn to combine hardware and software components, making the most of powerful portable computing and advanced data-driven decision-making. You'll employ machine learning methodologies to create market-ready solutions with enhanced technologies that transform data into valuable information. 

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Outstanding student support

Join our student community in Cambridge and:

  • use our specialist labs
  • benefit from award-winning learning facilities, including extensive library and IT resources
  • learn from expert staff who will guide your research interests and career development
  • access support, should you need it, with study skills, careers advice, health and wellbeing, and more.


Our Top-Up course has been designed with employers and industry in mind, so you can be sure you're learning the professional skills you'll need after graduation.

Over the course of a year, you'll gain the knowledge and skills to develop as a specialist in the areas of data analysis, machine learning, neural networks and artificial intelligence algorithm design.

Graduation doesn't have to be the end of your time with us. You might decide to stay at ARU and study for a Masters, such as our MSc Intelligent Systems and Machine Learning. Take advantage of our Alumni Scholarship and get 20% off your fees.

Apply now for BSc (Hons) Embedded Computing and Machine Learning

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Top-Up courses are a great way to gain a full degree, while learning more about a subject or developing your professional knowledge.