Integrated Machine Learning Systems MSc 12 months Postgraduate Programme By UCL |TopUniversities
Programme Duration

12 monthsProgramme duration

Tuitionfee

44,400 GBPTuition Fee/year

Application Deadline

22 Mar, 2027Application Deadline

Starting Month

SepStarting Month

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Master's

Study Mode

On Campus

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. 


Working alongside top researchers and industry experts, you will stay at the forefront of developments in the field as the course is continuously updated to reflect the rapid pace of change in machine learning. Strong industry connections provide opportunities to engage with leading organisations through guest lectures, seminars and collaborative projects. 


Graduates leave well-prepared for roles in innovative technology firms, established companies and research institutions, as well as for those wishing to progress to doctoral study. 

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Master's

Study Mode

On Campus

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. 


Working alongside top researchers and industry experts, you will stay at the forefront of developments in the field as the course is continuously updated to reflect the rapid pace of change in machine learning. Strong industry connections provide opportunities to engage with leading organisations through guest lectures, seminars and collaborative projects. 


Graduates leave well-prepared for roles in innovative technology firms, established companies and research institutions, as well as for those wishing to progress to doctoral study. 

Admission Requirements

4.5+
176+
6.5+
75+
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.

22 Mar 2027
1 Year
Sep

Tuition fees

Domestic
21,500 GBP
International
44,400 GBP

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