Advance your career in embedded systems and artificial intelligence (AI) with our 100% online Master’s degree in Embedded Computing and Machine Learning.
Enhance your understanding of embedded systems and artificial intelligence (AI) with our Master’s degree in Embedded Computing and Machine Learning. Study part-time by distance learning and develop the skills you need to harness the power of machine learning applications in various industrial contexts.
Our Embedded Computing and Machine Learning MSc will give you the opportunity to explore the industry trends where big chip designing and manufacturing multinational companies are emphasising embedded and portable devices optimised for machine learning at the edge.
During the first two modules you'll gain skills to leverage Arm technologies and develop intelligent distributed heterogeneous and secure solutions. You'll also expand your knowledge and skills in advanced topics of machine learning and AI such as deep learning generative AI and their applications to prompt engineering.
You'll crown your work on this course with a final year project which provides you with a platform to showcase the acquired skills and knowledge in an application domain of interest.
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.
This course uniquely combines two popular topics – embedded computing and machine learning – meaning that you can feel confident you are investing your time building skills in specialisms that are sought-after within the industry. It’s ideal for those who wish to advance their existing careers in the technology sector but also graduates who wish to pursue a Master’s degree.
The MSc in Embedded Computing and Machine Learning is strategically designed to immerse you in the dynamic realm of embedded systems with a particular focus on acquiring industry relevant skills on Arm-based microcontrollers. 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.
Potential job roles that relate to this MSc could include Software Engineer Embedded Systems Engineer Hardware or Software Architect/Developer Applications Developer or Data Architect/Engineer.
Core modules
Embedded Systems Essentials with Arm
IoT and Machine Learning at the Edge on Arm
Machine Learning Techniques
Prompt Engineering and Generative AI
Postgraduate Major Project
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