MSc 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.

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.

Graduation doesn't have to be the end of your time with us. You might decide to continue your academic career and join a research programme at ARU. Take advantage of our Alumni Scholarship and save £400 on your fees.