Systems Engineering for the Internet of Things MSc

London, Stratford (UCL East)

Prepare for a career as an innovator who can combine the technical and entrepreneurial aspects of sensor systems to help solve real-world problems. This programme brings electronics, programming and the Internet of Things (IoT) together with entrepreneurship and the skills needed to identify real needs in the physical environment. You will gain hands-on experience of everything from idea generation to prototyping and deployment.

UK students International students
Study mode
UK tuition fees (2024/25)
Overseas tuition fees (2024/25)
1 calendar year
Programme starts
September 2024
Applications accepted
Applicants who require a visa: 16 Oct 2023 – 28 Jun 2024
Applications close at 5pm UK time

Applications open

Applicants who do not require a visa: 16 Oct 2023 – 30 Aug 2024
Applications close at 5pm UK time

Applications open

Entry requirements

A minimum of an upper second-class UK Bachelor's degree (or international qualification of an equivalent standard) in electronic and electrical engineering, computer science, or a related field (e.g., engineering mathematics; engineering physics; information systems; mathematics and computing; data science; electronics.) Additionally, applicants should have some experience of programming languages such as C, C++, Python, or Java, and should have some experience with algebra, numerical analysis, probability, or statistics. Applicants must show an interest in developing creative thinking and problem-solving skills.

The English language level for this programme is: Level 2

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

This programme harnesses the power of academic expertise in Systems Engineering for the Internet of Things and brings it together with perspectives from industry experts and real-world customers.

First-hand experience is central to this degree, and you will undertake multiple projects throughout the programme, putting technical skills into practice from the start. You will also get to grips with topics such as laws, regulations and limitations, customer needs and implications for society, providing you with an understanding of the wider context to innovations in sensor systems.

Taught at the brand new, purpose designed UCL East campus in Queen Elizabeth Olympic Park, this programme brings you a modern learning environment that embraces an ethos of community and innovation. With sensor systems designed into the UCL East campus and Queen Elizabeth Olympic Park more broadly, you will have direct access to one-of-a-kind learning opportunities in this leading-edge location.

The fast-growing IoT field is dealing with a multitude of challenges arising from the interaction of digital and physical processes. There is a tangible need for a new generation of experts in the area, spanning industries and sectors such as manufacturing, consumer electronics, security, mining, design, transport, exploration and healthcare.

As a graduate of this programme, you will come away with a core understanding of how to design, deploy and use distributed sensors and actuators in the real-world, while bringing entrepreneurial know-how and a practical understanding to your future employment.

Who this course is for

The programme provides a sound basis for those embarking on a career in research or development or taking up positions within industry. A broad span of skills is required from designing, engineering and deploying IoT sensor systems, to ideating and leading the creation of IoT services, which are currently sought after by industries in areas such as manufacturing, consumer electronics, security, mining, design, transport, exploration and healthcare.

What this course will give you

UCL is ranked 9th globally in the latest QS World University Rankings (2024), giving you an exciting opportunity to study at one of the world’s best universities. 

The Systems Engineering for the Internet of Things MSc is run by UCL Computer Science, a department recognised as a world leader in teaching and research.

The department was also ranked first in England and second in the UK for research power in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2021.)

You will be taught by our leading experts at the ground-breaking UCL East campus, where an interdisciplinary ethos, connections to the community and cutting-edge facilities combine.

As a graduate of this programme, you will come away with outstanding skills in sensor systems from all angles, while being part of a community of academics and sensor system practitioners.

Through the programme, you will develop your technical skills in embedded system design and the real-world deployment of multi-agent systems. Not only will you know how to use hardware and software and connect them cleverly, but you will also be able to capture all the geopolitical and social-technical considerations in your project work and engage with a variety of stakeholders to understand a multitude of perspectives, which is key to ensuring the success of the devices you deploy and the services you provide.

You will apply your technical knowledge to multiple projects, and study systems thinking and entrepreneurship to bring everything together. As a result of your learning, you will be able to select appropriate technologies to create networked systems, understand the intricacies of different sensors, and challenge mainstream system design thinking to create meaningful solutions in physical environments. You will gain business skills for planning, gaining funding and marketing your products.

You will also benefit from the department’s extensive links with industry, in particular through participation in projects run in collaboration with our industry partners via our Industry Exchange Network (IXN).

The foundation of your career

As the first cohort of students are currently studying on this programme, alumni information is not yet available. However, we expect graduates of this programme will be equipped with the technical and entrepreneurial skills to be able to work in the deep tech world, whether you wish to set up your own start-up, or work with an existing company in the world of technology and innovation.

In particular, you will be well-equipped to apply for technical management roles, where you can use your knowledge to advise companies and organisations what is possible and feasible from a technical perspective.


As a graduate of the Systems Engineering for the Internet of Things MSc programme, you will be equipped with a broad range of skills, knowledge, and experience employers need. As well as in-depth knowledge about sensor systems, embedded networked systems and the application of responsible system design, you will also understand socio-technical frameworks and how to account for privacy, security, ethical, moral and legal issues throughout the idea to deployment process.

A core element of this programme is developing the ability to identify real world problems by working closely with possible customers and stakeholders. The ability to think broadly about the context and knock-on effects when engineering design thinking is applied to the environment is critical to many modern employers. The aptitude to consider business and marketing strategies, collaborate in teams and express complex ideas clearly are also key takeaway skills from this programme.

With hands-on experience of setting up numerous deployments during the degree, you will also be able to bring practical and innovative ideas about sensor systems to employers.


UCL is proud to support innovation and link our students and research directly to real-world business applications. From internships to solving complex problems with commercial partners, UCL Engineering has a collaborative, innovative spirit at its core. 

As a student and later as a graduate, you will have access to a UCL Engineering careers events programme, connecting you with employers and alumni. This programme provides invaluable insight into the reality of different roles, sectors, and current application processes.  

Entrepreneurial minds thrive at UCL. For example, UCL’s IDEALondon was the first innovation centre led by a university in London, and incubates companies post-seed to reach technical and business milestones. Our academic and industrial networks provide a safe and supportive environment to grow a company.

Teaching and learning

The programme’s core curriculum is typically delivered through a combination of lectures, tutorials, and lab classes, as well as directed and self-directed learning supported by teaching materials and resources, published through the online virtual learning environment. Each module employs a teaching strategy that aligns with and supports its intended learning outcomes.

Hands-on work is a key element of this programme, and practical classes and workshops are integrated throughout the curriculum. Lectures, seminars, and tutorials build up the theoretical learning that can be applied to the practical work. Demonstrations and site visits allow you to understand and visualise the real-world implementation of sensor systems, while guest speakers from industry provide yet more context alongside our world-renowned academics.

As UCL Computer Science is the home of the Multi-Sensory Devices Research Group, you will have further exposure to experts with both academic and start-up experience, who are working at the cutting edge of developments in sensor systems.

You will be assessed through a range of methods across the programme, including individual and group projects, written research reports, other coursework, programming tests, and a final research project/ dissertation. The dissertation is an opportunity for you to work on a specific topic that is of particular interest to you. You will be invited to showcase your work at a fair attended by industry partners, the public, and venture capitalists.

Contact time takes a variety of forms, including lectures, seminars, tutorials, project supervisions, demonstrations, practical classes and workshops, visits, placements, office hours (where staff are available for consultation), email, videoconference, or other media, and situations where feedback on assessed work is given (one-to-one or in a group).

Each module has a credit value that indicates the total notional learning hours a learner will spend on average to achieve its learning outcomes. One credit is typically described as being equal to 10 hours of notional learning, which includes all contact time, self-directed study, and assessment.

The contact time for each of your 15 credit taught modules will typically include 22-30 hours of teaching activity over the term of its delivery, with the balance then comprised of self-directed learning and working on your assessments. You will have ongoing contact with teaching staff via each module’s online discussion forum, which is typically used for discussing and clarifying concepts or assessment matters and will have the opportunity to access additional support via regular office hours with module leaders and programme directors.

Your research project/ dissertation module is 60 credits and will include regular contact with your project supervisor(s), who will guide and support you throughout your project. You will dedicate most of your time on this module to carrying out research in connection with your project and writing up your final report.


The Systems Engineering for the Internet of Things MSc is a one-year programme.

In term 1, you will develop a technical background in embedded system design and real-world deployment of multi-agent systems, using existing UCL East deployments to guide your learning. You will apply technical knowledge to a hands-on two-term group project focussed on designing, implementing and deploying an IoT system.

In term 2, you will study system thinking and entrepreneurship, continue your work on designing sensor systems, and choose from a range of optional and elective topics. You will also begin preparation for your final research project/ dissertation.

In term 3, you will focus on any examinations that take place in the main examination period and undertake your final research project/ dissertation.

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.

Students undertake modules to the value of 180 credits. Upon successful completion of 180 credits, you will be awarded an MSc in Systems Engineering for the Internet of Things.


There will be fieldtrips as part of Inclusive Design and Environments (COMP0153) (subject to UCL safety regulations.)


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

Online - Open day

Graduate Open Events: Department of Computer Science

Join us for a live online information session to hear from Computer Science staff. We will cover areas such as the general admission process, careers support, and industry links/placements. There will also be an opportunity for you to ask staff and current students any questions you may have. Two sessions will run for this event. These sessions are the same and are repeated to cater to people in different time zones.

Fees and funding

Fees for this course

UK students International students
Fee description Full-time
Tuition fees (2024/25) £19,300
Tuition fees (2024/25) £37,500

Additional costs

All full time students are required to pay a fee deposit of £2,000 for this programme. All part-time students are required to pay a fee deposit of £1,000.

Students will require a modern computer (PC or Mac) with minimum specifications 8GB RAM and 500GB SSD storage. A computer with the stated specifications is estimated to cost £500 or greater.

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

Funding your studies

For more information about funding opportunities for UCL Computer Science taught postgraduate programmes, please see the department's scholarships webpage.

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

UCL East London Scholarship

Deadline: 20 June 2024
Value: Tuition fees plus £15,700 stipend ()
Criteria Based on financial need
Eligibility: UK

UCL Friends & Alumni Association scholarship for Machine Learning

Deadline: 3 June 2024
Value: $20,000 (1 year)
Criteria Based on both academic merit and financial need
Eligibility: EU, Overseas

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 £90 for online applications and £115 for paper applications. Further information can be found at Application fees.

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. Your application will be judged entirely on the evidence you provide.

Your personal statement should include:

  • Why you want to study Systems Engineering for the Internet of Things at taught postgraduate level.
  • Why you want to study Systems Engineering for the Internet of Things at UCL.
  • What particularly attracts you to this programme.
  • How your academic and professional background meets the demands of this programme.
  • What mathematics experience you have, to meet the requirements of the programme.
  • What programming experience you have.
  • Where you would like to go professionally with your degree.

Due to competition for places on this programme, no late applications will be considered. Students with visa requirements or applying for scholarships are advised to apply early.

Please note that you may submit applications for a maximum of two graduate programmes (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: 2024-2025

Got questions? Get in touch

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