Anglia Ruskin University
Embedded Computing and Machine Learning [Top up] BSc (Hons)
Anglia Ruskin University

Key Course Facts

Course Description

More than 20 billion microprocessors and microcontrollers are currently providing intelligent features, smart capabilities, personalised interfaces, optimised communications to an incredibly wide range of devices. From automotive to healthcare, from science and industry to social science and finance, embedded computing is at the very hearth of almost all modern digital systems.

Explore the world of Embedded Computing and learn to employ Machine Learning methodologies to create market-ready solutions with enhanced technologies to transform data into valuable information. Learn to combine hardware and software components, making the most of powerful portable computing and advanced data-driven decision-making. Our brand new degree course has been designed with employers and industry in mind, ensuring you are learning the professional skills you will need once you graduate. You will be guided through the cutting-edge tools to learn trends and behaviours from the data itself.

You will be provided with the knowledge and skills to develop as a specialist in the areas of data analysis, machine learning, neural networks and artificial intelligence algorithm design. You will also gain the knowledge needed to display good professional judgement and responsibility in addressing commercial, environmental and ethical factors found in the various areas where Machine Learning and Automation are used.

If you enjoy computer science, mathematics and technology and want to apply these fundamentals in a practical way – combining them with electronics, digital systems and software design to create practical solutions to everyday technological issues, this BSc top-up year is the right course for you.

We'll assess you in a number of ways including time-constrained assessments, coursework assignments and a project. Our dissertation project and module case studies assess your ability to analyse situations, identify key issues, select, synthesise and apply techniques and skills from different modules, and evaluate the appropriateness of solutions when compared to industrial practice. The dissertation artefact will be based on a real-world scenario related to, or part of, a piece of project work in a company or relevant to industry.

Entry Requirements / Admissions

Requirements for international students / English requirements

IELTS academic test score (similar tests may be accepted as well)

    • 4.5
    • Foundation / Pathway Courses
    • 5.5
    • Foundation Law
    • 6.5
    • Graduate Degrees
    • 7.0
    • Graduate Degrees Law
    • 5.5
    • Undergraduate Degrees

Get advice on which foundation courses are best for you to still study Embedded Computing and Machine Learning [Top up], BSc (Hons), if you do not meet the minimum requirements in terms of UCAS score, A levels, or English language requirements.


Tuition Fees Embedded Computing and Machine Learning [Top up] BSc (Hons)

England UK £9250 year 1
Northern Ireland £9250 year 1
Scotland £9250 year 1
Wales £9250 year 1
Channel Islands £9250 year 1
Ireland £9250 year 1

Additional fee information

2022 International fees are to be confirmed

Average student cost of living in the UK

Rent £518
Water, gas electricity, internet (at home) £50
Supermarket shopping £81
Clothing £35
Eating out £33
Alcohol £27
Takeaways / food deliveries £30
Going out / entertainment (excl.alcohol, food) £24
Holidays and weekend trips £78
Transport within city £17
Self-care / sports £20
Stationary / books £13
Mobile phone / internet £13
Cable TV / streaming £7
Insurance £51
Other £95
Average student cost of living £1092

London costs approx 34% more than average, mainly due to rent being 67% higher than average of other cities. For students staying in student halls, costs of water, gas, electricity, wifi are generally included in the rental. Students in smaller cities where accommodation is in walking/biking distance transport costs tend to be significantly smaller.

How to apply

Application deadline:

January 1, 2024

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Possible Entry Points:

  • year 1 (Default entry point)

University Rankings

Positions of Anglia Ruskin University in top UK and global rankings.

See all 19 university rankings of Anglia Ruskin University

About Anglia Ruskin University

Founded in 1858, Anglia Ruskin University (ARU) is located in Cambridge, England, just a 15-minute walk from the City Centre. This university offers an extensive catalogue of Undergraduate and Postgraduate courses, as well as 8 student housing options at distinct price points. Cambridge is famous for being a student city, and those at ARU can benefit from that by mixing with those students working at the numerous universities throughout the city.

Student composition of Anglia Ruskin University

Students by level of study Academic year 2020/21 - Full-time equivalent student enrollments published by Higher Education Statistics Agency (HESA) on 10 February 2022
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List of 630 Bachelor and Master Courses from Anglia Ruskin University - Course Catalogue

Where is this programme taught

Cambridge Campus
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