Advanced Machine Learning

Prepare for a career in machine learning with specialist skills and knowledge in designing, developing, and deploying machine learning systems Machine learning is changing modern society, transforming industries such as healthcare, finance, and even entertainment. The landscape of machine learning is rapidly evolving, with new developments paving the way for increasingly innovative technological applications.

This course provides you with the advanced knowledge and skills needed to design, develop and deploy machine learning systems. You will learn about the fundamental concepts of machine learning, such as supervised learning, as well as a range of baseline machine learning algorithms, including linear and logistic regression, support vector machines and decision trees. You will also gain an understanding of cutting-edge methodologies, preparing you for a career in a variety of industries, including healthcare, autonomous vehicles, finance, natural language processing and computer vision.

To ensure you’re well-prepared to excel in advanced machine learning studies and research, you will need a strong first degree in a numerate subject such as computer science, mathematics, physics, or engineering. You should also be able to demonstrate proficiency in mathematical topics such as calculus and linear algebra, possess some familiarity with probability and statistics, and have a solid foundation in programming, particularly in Python.

Course highlights

Gain a deep understanding of the theoretical foundations of machine learning and hands-on experience in deploying machine learning systems using current development tools, core software libraries and cloud-based delivery technologies.

Specialised knowledge and skills in advanced topics such as computer vision, natural language processing, reinforcement learning, and robotics.

Exposure to the latest research and technology in machine learning, including exploring how new innovations are shaping the field.

Collaborate on team projects where students will present their work to peers and instructors.

Be part of our supportive postgraduate community.

Live and study in a beautiful world heritage city.