UCL Graduate degrees


Integrated Machine Learning Systems MSc

This MSc programme teaches how to engineer the machine learning systems that will form the basis of our economies, society and industry in the next few decades. It offers students the know-how necessary to pursue a wide variety of careers in the general field of integrated machine learning systems engineering in start-ups, well-established companies, or indeed research.

Covid-19 programme updates

Due to COVID-19, there may have been updates to this programme for the 2020 academic year. Where there has been an update, these are indicated with a red alert and a link which will provide further information.

Key information

Programme starts

September 2020

Modes and duration

Full time: 1 year
Part time: 2 years
Flexible: up to 5 years

Full-Time Duration: The programme takes one year to complete. Part-Time Duration: The programme takes two years to complete. Flexible: The programme takes a maximum of five years to complete.

Application dates

All applicants
Open: 1 November 2019
Close: 11 August 2020
Due to the large number of applications received, this programme is no longer accepting applications for 2020/21 entry. We apologise for any inconvenience caused. Applications for 2021/22 entry will open later in the year.

Tuition fees (2020/21)

£13,640 (FT)
£6,810 (PT)
£28,530 (FT)
£14,320 (PT)

Note on fees: The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Students website. Fees for flexible, modular study are charged pro-rata to the appropriate full-time Master's fee taken in an academic session.

Location: London, Bloomsbury

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-level 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-level modules) is also required in algebra, analysis, probability, or statistics. Applicants must show an interest in developing thinking and problem-solving skills.

English language requirements

If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.

The English language level for this programme is: Standard

Pre-Master's and Pre-sessional English

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

International students

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.

Select your country:

About this degree

Students will learn about the principles of data acquisition including the sensors and devices used to capture the data; the principles of data analysis; machine learning technology; and the infrastructure used to transport, store, secure, and process data. Students will therefore also learn how to put together integrated systems that can acquire, process, and analyse data.

The programme encompasses 180 credits. Students undertake six compulsory modules, two optional modules, a compulsory dissertation, and a compulsory non-credit bearing Professional Development Skills module.

The programme consists of six compulsory modules (90 credits), two optional modules (30 credits) and a compulsory dissertation (60 credits). The programme also encompasses a compulsory non-credit bearing Professional Development Skills module.

Upon successful completion of 180 credits, you will be awarded a MSc in Integrated Machine Learning Systems.

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 is subject to change.

Compulsory modules

Students undertake the following compulsory modules:

  • Applied Machine Learning Systems
  • Applied Machine Learning Systems II
  • Data Acquisition and Processing Systems
  • Cloud, Data Centres and Edge-Computing
  • Security and Privacy
  • Emerging Topics in Integrated Machine Learning Systems

Optional modules

Students undertake two out of the three following optional modules:

  • Internet of Things
  • Internet Multimedia Systems
  • Introduction to Internet Protocol Networks

Optional modules are also complemented by a compulsory non-credit bearing Professional Development Skills module that will deliver students research, writing, and presentation skills.

Covid-19 module updates
Due to COVID-19, there may be updates to the modules for your chosen programme of study this year. Some modules may not be available or may need to be moved to a later term or year of study.  We have included these updates below:   Internet of Things (ELEC0130), is now compulsory due to the removal of (Internet Multimedia Systems (ELEC0098). Introduction to Internet Protocol Networks (ELEC0099), is now compulsory due to the removal of Internet Multimedia Systems (ELEC0098). Internet Multimedia Systems (ELEC0098), has been suspended for 2020/21. These updates are relevant for 2020-21 academic year only.  The full list of modules will be available in the module catalogue from late August.  From the first week of September, you will be invited to complete module selection from Portico, our student record system. There may need to be additional updates or changes to modules during the academic year to allow for new guidance from the UK Government and Public Health England. Your department shall keep you updated of these changes as they become available.  


All students undertake an independent research project which culminates in a dissertation of approximately 12,000 words.

All students are also due to make a presentation mid-way through their independent research project.

Teaching and learning

The programme will be delivered through a combination of formal lectures, seminars, laboratories,
workshop sessions, and independent or group work.

The MSc programme assesses students in a number of ways including exams, coursework, group work, dedicated exercises and a research dissertation.

Covid-19 contact hours on campus
In Term One, while campus will be open, all the learning activity for the core content of your modules will take place online – including lectures, tutorials, seminars and assessments. By “core content” we mean everything you need to learn to complete the module successfully. In addition to these online contact hours, we will be offering some face-to-face educational activities for students on campus, and we will provide alternative online activities for those students unable to join us on campus. These activities, which will include contact with academic staff, will be relevant to your programme of study may include seminars, academic and employability skills workshops, small-group or individual tutorials, lab and practice-based teaching. UK Government safety guidelines will limit the amount of ‘in person’ activity we can offer and while it will vary from programme to programme, is likely to be no more than 1-2 hours per week. This will vary across departments, particularly if your programme includes laboratory/practical/studio/workshop sessions. You will be updated with more specific details as they are available and your timetable will indicate which sessions will be on campus and which will be available online.
Covid-19 practical component updates
Due to COVID-19, there may be changes to the availability of the practical components for your chosen programme. Any updates relate only to the 20/21 academic year and may not apply to all students across the programme depending on your year of study.  Your department will keep you updated if the practical component of your programme is able to occur and/or any alternative options available.   There may need to be additional updates or changes to the practical component during the academic year to allow for new guidance from the UK Government and/or Public Health England. Your department shall keep you updated of these changes as they become available. 
Covid-19 assessment updates
There may be changes to the format of assessments for modules in this programme due to COVID-19. These will be summarised for each module on the module catalogue from 17 August 2020.   If any changes to assessments need to be made during the academic year due to updates in government guidance, these will be communicated to you as soon as possible from your department.    
Communicating further Covid-19 mitigation plans
We are continuing to follow UK Government guidance, as well as the expertise of our researchers, including specialists in health, education, human behaviour and infection prevention, to make sure UCL is as safe as possible during the COVID-19 pandemic. If it becomes necessary to make further changes to your programme as a result of new guidance/regulations, UCL and your department will communicate these as soon as this becomes clear. We will keep you up-to-date with our plans throughout term one, so you have the information you need to be able to take decisions that are right for your circumstances. Please ensure that you keep in touch with your department by regularly checking your UCL emails, Moodle courses, the Coronavirus FAQs for Students page and any UCL online groups or social media you follow.

Additional costs

The students are expected to have their own computer/laptop, in order to carry out independent study and programming assignments.

For more information on additional costs for prospective students please go to our estimated cost of essential expenditure at Accommodation and living costs.


Details of the accessibility of UCL buildings can be obtained from AccessAble. Further information can also be obtained from the UCL Student Support & Wellbeing team.


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.

Scholarships relevant to this department are displayed below.

Brown Family Bursary

This scheme is now closed for 2020/21
£15,000 (1 year)
Based on both academic merit and financial need

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


It is expected that this MSc will deliver professionals in the general field of integrated machine learning systems engineering that can be recruited by the burgeoning industry in the area, such as emerging start-ups or well-established companies that need to recruit engineers with the necessary skills to set-up systems to make sense of data.

It is also expected that this MSc will deliver researchers that are well positioned to continue further doctoral studies.


Students will acquire a wide range of theoretical and practical knowledge and skills in the general area of integrated machine learning systems, including in data acquisition, data analysis, and the infrastructure used to transport, store, secure and process data.

In particular, students will be exposed both to the principles and practice of machine learning systems, including the hardware, software and network components underpinning such systems.

Students will therefore be well positioned to pursue a wide range of careers in industry or academia upon completion of this programme.

Why study this degree at UCL?

This MSc programme offers students a holistic view about machine learning technology, encompassing both the principles and practice of data aquisition, data analysis, and the infrastructure used to transport, store, secure and process data.

This MSc programme also offers students a wide range of hardware, software, and system skills, allowing them to develop upcoming machine learning systems supporting our economies and societies.

This MSc programme is delivered by world-leading academics in their respective fields, and is supported by state-of-the-art facilities and laboratories at the Electronic and Electrical Engineering Department at UCL.

Department: Electronic & Electrical Engineering

Application and next steps


Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.

There is an application processing fee for this programme of £80 for online applications and £105 for paper applications. Further information can be found at: www.ucl.ac.uk/prospective-students/graduate/taught/application.

Who can apply?

The MSc is suited to students that desire to further develop their knowledge, know-how, and skills in machine learning technology.

The MSc is also suited to students that desire to pursue an industrial career in the general area of machine learning systems or that desire to pursue a research or academic career.

Application deadlines

All applicants
11 August 2020

For more information see our Applications page.

Apply now

What are we looking for?

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.

The MSc programme is accessible to students with a minimum of an upper second-class Bachelor's degree in Electronic and Electrical Engineering, Computer Science, Mathematics, Statistics and related fields from a UK university of an overseas qualification of an equivalent standard.

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.

UCL is regulated by the Office for Students.

Page last modified on 13 August 2020