Advance your career in embedded systems and artificial intelligence (AI) with our Postgraduate Certificate in Embedded Computing. Study part-time by distance learning and develop the skills you need to harness the power of machine learning applications in various industrial contexts.
Embedded computing especially when paired with machine learning promises to provide the tools to enhance technology business models and decision-making across a range of sectors from industrial automation quality control manufacturing transport banking and cyber security to health and social care.
Our course has been developed with industry leader Arm the global leader in CPU technology meaning you’ll benefit from industry expertise training modules and real-life case studies.
This PG Cert will give you the opportunity to explore the industry trends that emphasise embedded and portable devices optimised for machine learning at the edge. You will gain skills to leverage Arm technologies and develop intelligent distributed heterogeneous and secure solutions.
Applicants will normally hold a first or second class first degree. While a prior degree in a subject containing computing or electronics is welcome the course is open to applicants with an electronics / computing background and a passion for technology whose first degrees may be in other subjects.
A Foundation degree in computing or electronics with an appropriate period of industrial experience may also be considered. Each applicant for the Master’s programme who possesses a Foundation degree will be expected to attend an interview where an assessment will be made to determine the standard of their industrial experience and suitability for the course.
If English is not your first language you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.5 or equivalent English Language qualification as recognised by ARU. You’ll need at least 5.5 in each of the four skills - listening speaking reading and writing.
As a distance learner you'll also need a suitable computer with internet connection together with sufficient IT competence to make effective use of our online Learning Management System (LMS) with high-speed internet and email. You will also need access to a fairly modern laptop or personal computer which runs Microsoft Windows 10 or later. Furthermore admin rights are required to install relevant software packages.
Arm stands as a key player in the embedded computing industry and our students are uniquely positioned to benefit from this association. The modules within our program not only provide theoretical knowledge but also offer practical exposure ensuring that you're not just proficient in embedded computing concepts but ready to contribute meaningfully to the industry particularly in the context of Arm technologies.
Core modules
Embedded Systems Essentials with Arm
IoT and Machine Learning at the Edge on Arm
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