Degree level: Undergraduate
Department: Computing
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Degree level: Postgraduate
Department: Computing
Description:  This MRes programme gives the opportunity to gain these skills, for a wide range of industries and careers, and we offer projects in various domains such as health, business and finance, communications, and energy / product supply systems. The MRes programme is a one-year, full-time programme leading to the MRes award. It is designed to provide focussed AI training and a high-level supervised research project that will result in developing high-level analytical skills and a broad range of competences. The MRes also involves taught-module lectures and assessments in the first and second terms, combined with initial work on the main project, followed by full-time work on the project and submission of the MRes thesis until 30 September. 

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Degree level: Postgraduate - This is an online degree
Department: Mathematics + Coursera
Description:  Launching in autumn 2020/21, the degree will be one of the first online courses that focuses on Machine Learning and its applications.
The degree, developed in partnership with the online education platform Coursera, will teach students in the computational, mathematical and statistical foundations of Machine Learning.
Students will also have the opportunity to work with industry-standard tools like PySpark and PyTorch to develop and apply their Machine Learning and data science skills. Over the coming year a number of specialisation courses will be released which will give students the opportunity to explore these areas.
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Degree level: Postgraduate - This is a conversion degree
Department: Computing
Description:  A taught postgraduate course aimed at graduates in disciplines with a large mathematics component, such as Mathematics, Physics and some types of Engineering. To apply, it is not necessary to have studied computer science previously. 
The programme includes specialised intensive training in programming and AI, with a wide choice of elective modules, a group project and a large individual project. Students are encouraged to do both group and individual projects in collaboration with leading companies working on applications of AI.
The course will enable graduates to master the mathematical skills to understand and implement modern statistical machine learning methods, to master the logical foundations of AI, to master a variety of current AI and machine learning techniques and develop insight into problems involved in their application, develop the ability to evaluate the effectiveness of particular implementations, and develop the ability to deal with real-world data and scenarios and to apply and adjust techniques to realistic applications.
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Degree level: Postgraduate
Department: Computing
Description:  A taught postgraduate course aimed at students with a good academic degree who may not have studied computing exclusively but who have studied a considerable amount of computing already. Applicants who want to become a specialist in AI and ML and who want to take a first crucial training step towards that goal are the natural target for this course. The expectation of graduates is that this course enables them to have rewarding careers as specialist in AI and ML.
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Degree level: Postgraduate
Department: School of Public Health and the Data Science Institute
Description:  A taught postgraduate course aimed at building a solid and common background in analysing health data. Your main objective is to develop skills in using appropriate cutting edge quantitative methods to fully exploit complex and high dimensional data. The course is delivered in collaboration with the Data Science Institute, with teaching from both the School and Institute undertaken by international experts with strong methodological background and expertise in the application of these approaches to large-scale medical and clinical data. The programme features extensive project-based learning using real data sets and addressing real scientific questions through module-specific projects work, and individual research projects.
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Degree level: Postgraduate

Department: Chemistry

Description:  This Master's programme will equip you to navigate and contribute to emerging fields within chemistry and train the next generation of scientists that are greatly needed and currently in short supply.

It comprises modules that cover the theory and application of data science, machine learning and automation in a diverse range of areas within the chemical sciences. From computational modelling allowing predictive insights into the behaviour of complex molecules and systems, to artificial intelligence and machine learning revolutionising our ability to predict reaction outcomes, you will explore recent developments across the field and gain sought-after skills.

These modules will be delivered online except for a single term research project module, which you can undertake either remotely or on campus.

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Degree level: Postgraduate
Department: Bioengineering
Description:  A taught postgraduate course focused on the understanding of neuromechanics, biomimetics design, signal and image processing and the application of robotics in health and everyday life. A wide-ranging course covering robotics for humans and society, service and social robotics, rehabilitation technology, as well as machine vision, artificial intelligence and machine learning. This Master's course has a unique focus on engineering methods which investigate human and animal sensing and sensorimotor control, and on the design of biomimetic systems and assistive devices for humans. 
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Degree level: Postgraduate
Department: Mathematics
Description:  A taught postgraduate course providing outstanding training both in theoretical and applied statistics with a focus on Data Science. The modules will focus on a wide variety of tools and techniques related to the scientific handling of data at scale, including machine learning theory, data transformation and representation, data visualisation and using analytic software. This course will equip students with a range of transferable skills, including programming, problem-solving, critical thinking, scientific writing, project work and presentation, to enable them to take on prominent roles in a wide array of employment and research sectors.
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