The MSc in Mathematical Modelling provides an ideal foundation for students wishing to advance their mathematical modelling skills. The programme teaches students the basic concepts which arise in a broad range of technical and scientific problems and illustrates how these may be applied in a research context to provide powerful solutions.

The programme is aimed at students with a background in a highly numerate discipline who wish to advance their mathematical modelling skills. Successful students will be well placed to satisfy the growing demand for mathematical modelling in commerce and industry, and will learn and practise the skills necessary to pursue further research. This MSc enables students to consolidate their mathematical knowledge and formulate basic concepts of modelling before moving on to case studies in which models have been developed for issues motivated by industrial, biological or environmental considerations.

This course is supported by XTX Markets.

The MSc Mathematics at UCL offers specialised modules in modern pure and applied mathematics that prepares students to embark on a highly skilled mathematical profession or continue their studies at PhD level. The programme introduces students to cutting edge ideas in the areas of Number Theory, Algebra, Geometry and Topology, Pure and Applied Analysis, Combinatorics, Fluid Mechanics, Mathematical Physics, Mathematical Modelling in Industry and Society, Mathematical Biology, Numerical Analysis and Scientific Computing and Applied Probability.

Students undertake modules totalling 180 UK credits (the equivalent of 90 ECTS). The programme consists of 7 taught modules (105 UK credits), a Research Essay module (15 UK credits) and a research dissertation (60 UK credits). There are no compulsory taught modules – students are free to design the degree that suits their interests best, with a choice of over 50 modules in pure and applied mathematics. A distinctive feature of this programme is the offer of a Research Essay module in term one- an early opportunity for students to embark on a research activity and to build a relationship with academics working in the field students might be considering applying for a PhD in. 

This course is supported by XTX Markets.

Help define the next wave of change that machine learning will deliver through one of the most established Master’s programmes in this field. The Machine Learning MSc offers opportunities to focus on specific areas of interest in machine learning, including modules run in collaboration with the esteemed Gatsby Computational Neuroscience Unit and Google DeepMind. Taught at UCL, world-renowned for computer science research and breakthroughs, this is an exceptional place to build your expertise in machine learning. 

This course is supported by XTX Markets and Google DeepMind.

Tackle emergent challenges through this one-of-a-kind MSc programme that brings the technical side of Artificial Intelligence (AI) together with environmental and humanitarian issues. This is an incredible opportunity to find solutions to pressing problems in sustainable development. Taught at UCL, an international home of AI breakthroughs, this programme places graduates at the heart of a rapidly growing sector. 

This course is supported by XTX Markets and Google DeepMind.

Become a changemaker in the world of data science and machine learning through one of the most established Master’s programmes in this field. The Data Science and Machine Learning MSc offers opportunities to study modules that span from artificial intelligence and deep learning to digital finance and probabilistic modelling, enabling you to craft a future career in a range of fields. 

This course is supported by Google DeepMind.

Deepen your expertise in machine learning and statistics through one of the most established Master’s programmes in this field. The Computational Statistics and Machine Learning MSc brings together vital knowledge in both subjects, enabling you to thrive as an expert in a data rich world. With opportunities to study modules run in collaboration with the esteemed Gatsby Computational Neuroscience Unit and Google DeepMind, this is an exceptional place to build your expertise. 

This course is supported by XTX Markets and Google DeepMind.

This unique, interdisciplinary programme will teach students how Artificial Intelligence (AI) can have a transformative effect on biomedicine and healthcare. This MSc enables you to develop complex technical skills and use them to craft forward-thinking biomedical and healthcare solutions powered by AI. Taught at UCL, an international home of AI breakthroughs and medical excellence, graduates of this programme will be equipped with sought-after specialist skills, ideal for a rapidly growing sector. 

This course is supported by XTX Markets and Google DeepMind.

Gain in-depth expertise in the rapidly growing robotics and artificial intelligence field through this cutting-edge programme. The Robotics and Artificial Intelligence MSc draws together teaching from Computer Science, AI and Electronic and Mechanical Engineering, combining theory with hands-on experience. Our goal is to help you become future engineers, leaders and researchers in intelligent robotics, artificial intelligence, technology, engineering and finance. 

This course is supported by XTX Markets and Google DeepMind.

Become an expert in Artificial Intelligence and Data Engineering with this one-year MSc. You’ll gain advanced skills in software engineering, machine learning, and data engineering, preparing you to design, build, deploy, and manage AI systems in real-world environments. 

This course is supported by Google DeepMind.

This programme offers research supervision across a broad range of pure and applied mathematics. General areas of expertise in pure mathematics include analysis, geometry, number theory and topology. In applied mathematics key areas of activity include fluid dynamics, mathematical modelling, mathematical physics, mathematical biology, applied and numerical analysis and financial mathematics.

The research degree programme is aimed at graduate students in mathematics or related sciences. Applicants will have analytical skills, and have formed a strong interest in pursuing mathematical research.

More information can be found here.

This course is supported by XTX Markets.

The PhD programme in UCL Computer Science is a rigorous 4-year programme where you will engage in cutting-edge research within leading research groups. Supervised by academics at the forefront of their fields, you will work on important and challenging problems in computer science, preparing you for a future in academia or industry.

This programme is best suited for people wishing to embark on an academic career, as well as those interested in finding work in industry. 

To support this, you’ll be assigned a first and second supervisor who will guide you in the development of your research project and your abilities as a researcher. The research groups, the department, and UCL provide numerous opportunities for you to learn more about your field (e.g. seminars, conferences, and journal clubs) and the skills required for you to develop your research and future careers (e.g. training courses). 

Many of our students have had their research results published and recognised at leading international conferences during their time on the PhD programme.

More information can be found here.

This course is supported by XTX Markets.