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Integrated Machine Learning Systems MSc

London, Bloomsbury

Join us on this one-year MSc for a full immersion into principles of data acquisition, analysis, security, and infrastructure. You will develop the expertise to excel in integrated machine learning systems engineering across start-ups, established companies, and research institutions.

UK students International students
Study mode
UK tuition fees (2026/27)
£21,500
£10,750
Programme also available on a modular (flexible) basis.
Overseas tuition fees (2026/27)
£42,700
£21,350
Programme also available on a modular (flexible) basis.
Duration
1 calendar year
2 calendar years
5 calendar years
Programme starts
September 2026
Applications accepted
Applicants who require a visa: 20 Oct 2025 – 27 Mar 2026

Applications closed

Applicants who do not require a visa: 20 Oct 2025 – 28 Aug 2026
Applications close at 5pm UK time

Applications open

Apply for this course

Entry requirements

A minimum of an upper second-class Bachelor's degree in electronic and electrical engineering, computer science, and related fields from a UK university or an overseas qualification of an equivalent standard. Basic knowledge (e.g. at UK 2:1 standard in relevant undergraduate-standard modules) of programming languages (such as C, C++, Python, Java, or similar) is required. Basic knowledge of mathematics (e.g. at UK 2:1 standard in relevant undergraduate-standard modules) is also required in algebra, analysis, probability, or statistics. Applicants must show an interest in developing thinking and problem-solving skills.

The English language level for this course is: Level 1

UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level.

Further information can be found on our English language requirements page.

Equivalent qualifications

Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website.

International applicants can find out the equivalent qualification for their country by selecting from the list below. Please note that the equivalency will correspond to the broad UK degree classification stated on this page (e.g. upper second-class). Where a specific overall percentage is required in the UK qualification, the international equivalency will be higher than that stated below. Please contact Graduate Admissions should you require further advice.

About this degree


Machine learning is revolutionising technology and industries.

This one-year MSc offers a comprehensive understanding of integrated machine learning systems, from data acquisition and analysis to infrastructure, storage, and security.

You’ll gain both hardware and software skills essential for developing advanced systems that support economies and societies.

Designed for aspiring engineers and data scientists, the programme leverages UCL’s world-leading academics and state-of-the-art facilities at UCL Electronic and Electrical Engineering. This includes a dedicated Printed Circuit Board Facility, nanoscale processing and characterisation laboratories, low temperature quantum measurement labs, and well-equipped photonic and optical communication test laboratories.

You'll work alongside top researchers and industry experts, staying current with the latest developments. Access to guest lectures on topics such as privacy and security will further enhance your learning.

Graduates will be prepared for diverse roles in tech firms, established companies, or academic research, driving innovation in the dynamic field of machine learning systems.

Who this course is for

The MSc is ideal if you are looking to further develop your knowledge, know-how, and skills in machine learning technology.

It is particularly suited to those aiming to pursue an industrial career in the general area of machine learning systems or go on to a career in academic research.

Read about what it takes to study for a Master's at UCL

What this course will give you

This programme offers you the following benefits and opportunities:

  • A postgraduate degree from a top-ranked university. UCL is consistently ranked among the best universities globally (ranked 9th in the latest QS World University Rankings 2026), providing you with a prestigious qualification that is highly regarded by employers worldwide. 
  • Benefit from state-of-the-art facilities and laboratories that support your learning and research.
  • Gain a comprehensive understanding of machine learning technology, covering both principles and practical applications.
  • Develop essential hardware, software, and system skills to engineer advanced machine learning systems.
  • The course is continuously updated to reflect the rapid changes in the field.
  • Study and network with renowned academics and experts at UCL Electronic & Electrical Engineering, a Department ranked 5th in the UK (QS World University Rankings by Subject 2025). 
  • UCL’s Bloomsbury campus is in the heart of a London district famous for its cultural and educational institutions.
Read about what you'll get out of a graduate programme

The foundation of your career

This programme provides you with comprehensive knowledge and practical skills in integrated machine learning systems, preparing you for a range of possible careers in industry or academia.

Graduates have gone on to work at companies such as Accenture PLC, Google Deepmind and KE Holdings Inc (Graduate Outcome Survey 2017-2022).

Employability

The MSc Integrated Machine Learning Systems programme prepares you for dynamic careers in industries such as technology, finance, healthcare, and manufacturing. You will gain comprehensive expertise in both theoretical and practical aspects of machine learning, including data acquisition, analysis, and system infrastructure.

Graduates are equipped to excel in roles within start-ups, established enterprises, consulting and research institutions, contributing to pioneering projects and advancements in machine learning. 

Networking

You’ll have regular opportunities to connect, collaborate, and build professional contacts as part of your Master’s programme.

  • Benefit from UCL’s central location in the heart of London, offering rich industry connections and opportunities.
  • Whether you're advancing your career or transitioning from industry, tap into our extensive connections, with opportunities for site visits, placements, and collaborations with world-leading companies.
  • Access exclusive industry events, including guest lectures with leading professionals.
  • Participate in site visits and placements with world-leading industries.
  • Engage with our world-renowned academic team and leverage their extensive industry experience.
  • Work with leading professionals through invited seminars and collaborative projects.
  • If you’re interested in entrepreneurship, connect with like-minded innovators and successful entrepreneurs through UCL’s innovation hubs and startup incubators.

Accreditation

Our MSc programme is accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council as meeting the academic requirement for Further Learning for registration as a Chartered Engineer. Candidates must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to fully comply with the CEng registration academicrequirement.

Teaching and learning

This MSc is delivered through a combination of formal lectures, seminars, laboratories, workshop sessions and independent or group work, which frequently draw upon real-life industry case studies.

You will be assessed via exams, coursework, group work, dedicated exercises and a research dissertation.

This is a full-time course, which means you should expect a working schedule of approximately 35 hours a week divided between contact hours and self-directed learning. The exact number of contact hours and composition varies throughout the term depending on the module choices. Full-time students can expect their weekly schedule to include approximately 12 to 16 contact hours, with around 20 to 25 hours of self-directed learning.

Modules

The MSc Integrated Machine Learning Systems covers the technology, applications, and the state-of-the-art in machine learning systems engineering.

In particular, it covers a series of topics relevant for machine learning systems engineering including: 1) elements associated with the data acquisition processes; 2) elements associated with the data analysis, processing, and visualisation processes; and 3) aspects associated with the infrastructure used to transport, process and secure the data.

You will undertake a series of compulsory and optional modules covering:

  • The principles, technology, and applications of signal acquisition, compression, and processing systems;
  • The principles and practice of machine learning, including both basic and advanced machine learning algorithmic technology;
  • The state-of-the-art in data centres, networking, and computing technology necessary to set-up integrated machine learning systems;
  • The design, the development and the evaluation of secure computer systems & networks with a focus on security/privacy challenges in a "Big Data" world.
  • Emerging and cutting-edge topics in integrated machine learning systems engineering.

You will also undertake a research dissertation in the area of integrated machine learning systems during the course of the programme.

Finally, all students carry out a compulsory non-credit bearing Professional and Development Skills course covering research, writing and presentation skills.

This MSc Programme in Integrated Machine Learning Systems covers the technology, applications, and the state-of-the-art in machine learning systems engineering.

In particular, this MSc Programme will cover a series of topics relevant for machine learning systems engineering including: 1) elements associated with the data acquisition processes; 2) elements associated with the data analysis, processing, and visualisation processes; and 3) aspects associated with the infrastructure used to transport, process, and secure the data.

You will undertake a series of compulsory and optional modules covering:

  • The principles, technology, and applications of signal acquisition, compression, and processing systems;
  • The principles and practice of machine learning, including both basic and advanced machine learning algorithmic technology;
  • The state-of-the-art in data centres, networking, and computing technology necessary to set-up integrated machine learning systems;
  • The design, the development and the evaluation of secure computer systems & networks with a focus on security/privacy challenges in a "Big Data" world.
  • Emerging and cutting-edge topics in integrated machine learning systems engineering.

You will also undertake a research dissertation in the area of integrated machine learning systems during the course of the programme.

Finally, all students carry out a compulsory non-credit bearing Professional and Development Skills course covering research, writing, and presentation skills.

This MSc Programme in Integrated Machine Learning Systems covers the technology, applications, and the state-of-the-art in machine learning systems engineering.

In particular, this MSc Programme will cover a series of topics relevant for machine learning systems engineering including: 1) elements associated with the data acquisition processes; 2) elements associated with the data analysis, processing, and visualisation processes; and 3) aspects associated with the infrastructure used to transport, process, and secure the data.

You will undertake a series of compulsory and optional modules covering:

  • The principles, technology, and applications of signal acquisition, compression, and processing systems
  • The principles and practice of machine learning, including both basic and advanced machine learning algorithmic technology;
  • The state-of-the-art in data centres, networking, and computing technology necessary to set-up integrated machine learning systems;
  • The design, the development and the evaluation of secure computer systems & networks with a focus on security/privacy challenges in a "Big Data" world.
  • Emerging and cutting-edge topics in integrated machine learning systems engineering

You will also undertake a research dissertation in the area of integrated machine learning systems during the course of the programme.

Finally, all students carry out a compulsory non-credit bearing Professional and Development Skills course covering research, writing, and presentation skills.

Compulsory modules









Optional modules






Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability are subject to change. Modules that are in use for the current academic year are linked for further information. Where no link is present, further information is not yet available.

The course encompasses 180 credits. Students undertake six compulsory modules, two optional modules and a compulsory dissertation. Upon successful completion of 180 credits, you will be awarded an MSc in Integrated Machine Learning Systems.

Accessibility

The department will endeavour to make reasonable adjustments for students with disabilities, including those with long-term health conditions, neurodivergence, learning differences and mental health conditions. This list is not exhaustive. If you're unsure of your eligibility for reasonable adjustments at UCL, please contact Student Support and Wellbeing Services.

Reasonable adjustments are implemented on a case-by-case basis. With the student's consent, reasonable adjustments are considered by UCL Student Support and Wellbeing Services, and where required, in collaboration with the respective department.

Details of the accessibility of UCL buildings can be obtained from AccessAble. Further information about support available can be obtained from UCL Student Support and Wellbeing Services.

For more information about the department and accessibility arrangements for your course, please contact the department.

Fees and funding

Fees for this course

UK students International students
Fee description Full-time Part-time
Tuition fees (2026/27) £21,500 £10,750
Tuition fees (2026/27) £42,700 £21,350

Programme also available on a modular (flexible) basis.

Postgraduate Taught students benefit from a cohort guarantee, meaning that their tuition fees will not increase during the course of the programme, but UCL reserves the right to increase tuition fees to reflect any sums (including levies, taxes, or similar financial charges) that UCL is required to pay any governmental authority in connection with tuition fees.

The tuition fees shown are for the year indicated above. Where the course is offered on a flexible/modular basis, fees are charged pro-rata to the appropriate full-time Master's fee taken in an academic session. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Students website: ucl.ac.uk/students/fees.

Additional costs

For full-time and part-time offer holders with a fee status classification of UK, a fee deposit will be charged at 2.5% of the first year fee.

For full-time and part-time offer holders with a fee status classification of Overseas, a fee deposit will be charged at 10% of the first year fee.

For modular/flexible offer holders with a fee status classification of UK, a £350 deposit will be charged.

For modular/flexible offer holders with a fee status classification of Overseas, a £500 deposit will be charged.

Further information can be found in the Tuition fee deposits section on this page: Tuition fees.

Students are expected to have their own computer/laptop, in order to carry out independent study and programming assignments. Average laptop prices can range from £300-£1000. Chromebooks cannot be used at all.

For in-person teaching, UCL’s main teaching locations are in zones 1 (Bloomsbury) and zones 2/3 (UCL East). The cost of a monthly 18+ Oyster travel card for zones 1-2 is £119.90. This price was published by TfL in 2025. For more information on additional costs for prospective students and the cost of living in London, please view our estimated cost of essential expenditure at UCL's cost of living guide.

Funding your studies

The Institution of Engineering and Technology (IET) awards competitive scholarships for postgraduate study, for details visit www.theiet.org.

Please visit the UCL Electronic and Electrical Engineering Scholarships website for more information on funding.

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

See all the ways you can fund your studies

Sparck AI Scholarship

Deadline: 1 May 2026
(Check course is eligible before applying)
Value: Full tuition fees plus £22,780 stipend (1 year)
Criteria Based on academic merit
Eligibility: UK, EU, Overseas

Next steps

There is an application processing fee for this course of £90 for online applications. Further information can be found at Application fees.

When we assess your application we would like to learn:

  • why you want to study Integrated Machine Learning Systems at graduate level
  • why you want to study Integrated Machine Learning Systems at UCL
  • what particularly attracts you to the chosen programme
  • how your academic and professional background meets the demands of this challenging programme
  • where you would like to go professionally with your degree.

Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver.

Knowledge in programming languages is required. Basic knowledge in mathematics is required in algebra, analysis, probability or statistics. Standard UCL English Language requirements are also required.

Please note that you may submit applications for a maximum of two graduate courses (or one application for the Law LLM) in any application cycle.

Choose your programme

Please read the Application Guidance before proceeding with your application.

Year of entry: 2026-2027

Apply for this course

Got questions? Get in touch

Electronic and Electrical Engineering
Electronic and Electrical Engineering

eee-msc-admin@ucl.ac.uk

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