Machine learning/AI is one of the most significant technological developments of our time, transforming how organisations process data, automate decisions and build intelligent systems. This MSc equips you with the integrated skills to work across the full machine learning pipeline, from data acquisition and analysis to the infrastructure that supports storage, security and deployment at scale.
You will develop expertise in both the hardware and software dimensions of machine learning systems engineering, a combination that distinguishes this course from others focused solely on algorithms or data science. You will study core topics including data acquisition, signal processing, machine learning theory, systems architecture and security, giving you a comprehensive foundation for building robust, real-world ML/AI solutions.
The course is designed for aspiring engineers and data scientists who want to master both the principles and applications of machine learning. You will benefit from teaching by world-leading academics at UCL Electronic and Electrical Engineering, with access to state-of-the-art laboratories and facilities.
This MSc develops the technical and analytical skills needed to design, build and deploy integrated machine learning systems across a wide range of industries. You will graduate with expertise spanning data acquisition, signal processing, machine learning theory, systems infrastructure and security, giving you a comprehensive and in-demand skill set.
Alongside subject-specific knowledge, the course builds the broader skills employers consistently value: the ability to work across hardware and software environments, to approach complex engineering problems systematically, and to communicate technical findings clearly to different audiences. Group work and collaborative projects further develop your teamwork and project management capabilities, with UCL EEE’s strong industry connections providing regular opportunities to engage with leading professionals through guest lectures, seminars and industry events.
Graduates of this MSc go on to careers across the technology, finance, healthcare and manufacturing sectors, as well as into academic research and doctoral study. The combination of hardware, software and systems expertise developed on the course prepares graduates for roles in machine learning engineering, data science, systems architecture and research and development.
Graduates have gone on to work at companies such as Accenture PLC, Google DeepMind and KE Holdings Inc.
Graduate Outcomes survey carried out by the Higher Education Statistics Agency (HESA), looking at the destinations of graduates in the 2018–2024 cohorts.