Immerse yourself in the emerging field of engineering, computing and statistics on our MSc in Machine Learning and Internet of Things programme.

On this course you'll combine a project-based approach with flexible learning. The course tackles four key strands of learning:

Data science

Machine learning

Internet of Things

Robotics

This course is designed to develop your knowledge and skills in modern machine learning practice. Practical and theoretical skills, such as programming, project management and statistics, are developed through a learning approach that combines taught sessions with individual and group projects.

Why study with us

Choose an optional module based on your own academic interests. Options are available for signal processing, computer vision, sensors and instruments.

Learn from an expert team. Your tutors have research interests and experience in the field of data science and its applications.

Participate in a School Expo, presenting your project to an external audience including industry representatives.

Future careers

As a graduate, you will be equipped with skills in working on modern machine learning and IoT projects in both an individual and a team capacity. Upon graduation you may apply for a PhD.

Studying Machine Learning and Internet of Things could lead to the following careers:

Machine learning engineer

Machine learning scientist

Data translator

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Data privacy expert

AI ethics officer

Data Engineer

System engineers

Data analyst

Data scientist.

Sandwich option:
Our sandwich degrees offer the perfect blend of academic study and practical work experience, allowing you to build confidence in the workplace and graduate work-ready from your degree programme.
Our previous graduates have found their sandwich year particularly beneficial as it has allowed them to gain practical, hands-on experience within their chosen career and the opportunity to learn directly from professionals based out in industry. It is not uncommon for sandwich year programmes to also open up future work opportunities in similar fields or professions for our graduates.