Overview
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.
Key Features
Anglia Ruskin University's 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.Programme Structure
Courses include:
- 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
Key information
Duration
- Part-time
- 36 months
Start dates & application deadlines
- StartingApply anytime.
ARU suggests applying at least a month before your preferred start date.
Language
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Credits
Delivered
Campus Location
- Cambridge, United Kingdom
Disciplines
Computer Sciences Machine Learning View 95 other Masters in Computer Sciences in United KingdomWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- 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.
Tuition Fees
-
International Applies to you
Applies to youNon-residents8200 GBP / year≈ 8200 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents8200 GBP / year≈ 8200 GBP / year
Additional Details
UK and EU Distance learning
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Embedded Computing and Machine Learning.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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