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MSc Embedded Computing and Machine Learning

Anglia Ruskin University

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    Online

  • Study mode

    Part time

  • Start date

    SEP

  • Duration

    3 Years

Course summary

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.

Tuition fees

Students living in United States
(International fees)

Information not available

Please check with the institution for most up to date details.

University information

University image

Anglia Ruskin University

  • University League Table

    120th

  • Campus address

    Cambridge Campus, East Road, Cambridge, Cambridgeshire, CB1 1PT, United Kingdom

Vibrant and bustling city campuses in Cambridge, Chelmsford, Peterborough, and Writtle – all with close transport links to London.
A friendly and welcoming community of students and staff from around the globe.
A range of international scholarships are available.

Subject rankings

  • Subject ranking

    103rd out of 117 4

  • Entry standards

    / Max 223
    104 47%

    107th

  • Graduate prospects

    / Max 100
    74.0 74%

    84th

    11
  • Student satisfaction

    / Max 4
    3.07 77%

    48th

    4

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