Master of Science - Machine Learning

The MSc Machine Learning degree enables students to develop advanced expertise in the theory and practice of modern artificial intelligence, including deep learning and reinforcement learning. This one-year programme provides a strong mathematical foundation and teaches students how to transform data and algorithms into functional systems that address real-world challenges.

This master’s degree is designed for individuals with prior experience in computing, mathematics, or a related discipline who wish to specialise in AI methods and models. Students study alongside other motivated postgraduates and benefit from teaching informed by current research in areas such as natural language processing, computer vision, and optimisation.

Learning outcomes

Students begin by studying the core concepts that underpin machine learning, including probability, linear algebra, and statistical learning theory. They then progress to advanced topics such as deep neural networks, Bayesian methods, active learning, and reinforcement learning.

The programme also equips students with the ability to design scalable, efficient models capable of handling large and complex data sets. Core teaching is complemented by specialist optional modules, allowing participants to tailor their studies to individual interests.

Throughout the course, students will:

• Build a rigorous understanding of core machine learning and deep learning techniques • Analyse data sets and evaluate models using appropriate performance metrics • Use modern software tools to implement, train, and test their own models • Engage with current research questions in machine learning

Through optional modules, students can focus on specific areas aligned with their interests and career goals. These may include subjects such as data mining, natural language processing, computer vision, or optimisation for machine learning, depending on current research directions and departmental expertise.