Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: September intake – 1 year (full-time) January 2026 Intake - 1 year and 6 months (full-time)
Our industry-aligned curriculum, covering the latest breakthroughs from OpenAI, DeepMind and Microsoft, combined with hands-on application development using cloud-based tools, will give you the skills for cutting-edge AI roles. Gain comprehensive knowledge across machine learning, deep learning, robotics and automation while exploring AI ethics.
A degree in computing.
See our website for fees
Upon graduation you will be prepared for various roles, including:
AI Software Engineer/Developer: Build and deploy cloud-based AI software solutions using tools like Python, .NET, Git, and Azure. Develop intelligent systems for various applications.
Machine Learning Engineer: Develop and deploy machine learning models with a strong foundation in supervised and unsupervised learning, neural networks, and reinforcement learning.
Automation Engineer: Create intelligent systems for manufacturing, logistics, and other industrial domains with expertise in robotics, IoT, digital twins, and Industry 4.0/5.0.
AI Research Scientist/Engineer: Engage in research-oriented roles with theoretical foundations in computational intelligence and exposure to the latest AI research.
AI Consultant/Analyst: Advise organisations on AI strategy, implementation, and responsible use with broad knowledge of AI concepts and techniques.
See our website for modules
The University of Roehampton is based in southwest London on a 54-acre green and sustainable campus. The University is focused on providing educationa...
