Embedded Computing and Machine Learning
Enhance your understanding of embedded systems and artificial intelligence. Study for a part-time Master’s by distance learning with ARU.
in the region for postgraduates progressing into senior roles.
Source: Graduate Outcomes Survey 2026
If you’re looking to advance your career in embedded computing and AI, this is the course for you. You’ll develop the hardware and software skills you need to harness the power of machine learning applications in various industrial contexts.
You’ll discover how big chip designing and manufacturing multinational companies are emphasising embedded and portable devices optimised for machine learning at the edge, ensuring you graduate up-to-date with industry trends.
-
Learn embedded systems tools and techniques for machine learning
-
Explore advanced topics in machine learning and AI
-
Work on real-life case studies with industry tools
-
Study around your existing commitments over three years by distance learning
Study at an award-winning university
We were named Times Higher Education University of the Year 2023. We've also been awarded a Gold rating in the Teaching Excellence Framework – a reflection of the outstanding education we offer our students.
Careers
Develop a sought-after specialism.
This course will immerse you in the dynamic realm of embedded systems, with a particular focus on acquiring industry relevant skills on Arm-based microcontrollers.
By working on real-life case studies with industry tools, you'll become proficient in embedded systems tools and techniques for machine learning on the edge applications for industry.
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.
Teaching and modules
Gain crucial know-how across embedded computing, machine learning and AI.
On the first two modules of this course, you’ll gain skills to leverage Arm technologies and develop intelligent, distributed, heterogeneous, and secure solutions.
You'll go on to 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 complete your Master’s by conducting an end-to-end research and development project, based on a real-life scenario. It’s a great opportunity to demonstrate all you’ve learned.
Modules are subject to change and availability, and may vary by location. If you have the choice of optional modules, these are indicated with a *.
- 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
Facilities
Enjoy a range of facilities designed to support your studies and career development.
These include extensive library and IT resources, and careers support through our Employability Service. After you graduate, you’ll have lifelong access to our Alumni Career Centre.
You can also access support, should you need it, with study skills, health and wellbeing, and more.