Program Overview

Introduction to the Systems Engineering for the Internet of Things MSc

The Systems Engineering for the Internet of Things MSc is a one-year Master's program that integrates electronics, programming, robotics, and the Internet of Things (IoT) with entrepreneurship. This program prepares students to become experts in IoT, suitable for industries such as manufacturing, consumer electronics, security, mining, design, transport, exploration, and healthcare.

Program Overview

The program combines academic expertise in Systems Engineering for the Internet of Things with insights from industry experts and real-world customers. Hands-on experience is central to this degree, with multiple projects throughout the program. Students will gain a core understanding of designing, deploying, and using distributed sensors and actuators in the real world, along with entrepreneurial skills and practical experience.

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.
• Applicants should have some experience of programming languages such as C, C++, Python, or Java.
• Applicants should have some experience with algebra, numerical analysis, probability, or statistics.
• Applicants must show an interest in developing creative thinking and problem-solving skills.

English Language Requirements

The English language level for this course is Level 2. UCL Pre-Master's and Pre-sessional English courses are available for international students who need to improve their academic English and academic skills.

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 a list of countries.

Program Structure

The program is delivered through a combination of lectures, tutorials, and lab classes. Self-directed learning is supported by online resources. Hands-on work is a key element of this program, and practical classes and workshops are integrated throughout the curriculum.

Modules

Compulsory Modules

• Technology Entrepreneurship
• Modelling and Designing Embedded Systems
• Real-world Multi-agent Systems
• Designing Sensor Systems
• System Thinking through Speculative Design
• MSc Systems Engineering for the Internet of Things Project

Optional Modules

• Inclusive Design and Environments
• Innovation for a Fairer World
• Estimation and Control
• Machine Learning for Robotics

Fieldwork

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

Accessibility

The department will endeavor to make reasonable adjustments for students with disabilities. Details of the accessibility of UCL buildings can be obtained from AccessAble.

Location

UCL Computer Science boasts state-of-the-art facilities that are designed to enhance the learning experience. The program is taught at the new UCL East campus in Queen Elizabeth Olympic Park, which offers a modern learning environment that embraces an ethos of community and innovation.

Fees and Funding

• UK tuition fees (2026/27): Ł21,500
• Overseas tuition fees (2026/27): Ł42,700
• Additional costs include a fee deposit, a modern computer with minimum specifications, and potential costs for a capable GPU for machine learning projects.

Careers and Employability

Graduates will be equipped with a broad range of skills, knowledge, and experience needed by employers. They will have in-depth knowledge of sensor systems, embedded networked systems, and responsible system design, along with an understanding of socio-technical frameworks, privacy, security, ethical, and legal issues. The program provides opportunities for networking, including collaborative project work, research seminars, and access to a UCL Careers events program.