Programme

The programme will provide students with training in both cutting-edge AI research methodologies and the development of business and transferable skills. Students will undertake a significant, challenging and original research project, leading to the award of a DPhil.

Key topics and themes will focus on fundamentals of artificial intelligence, computational statistics and machine learning.

The first two terms will be dedicated to intensive cohort training which will involve lectures, seminars and group work, all of which will take place on-site at the DTC. Further guest lectures and training opportunities will be organised for the full-cohort with opportunities for peer-to-peer learning.

Training will begin with an immersive three-week module that lays the foundation for a year-long, team-based open source software development project.
Students will then undertake eight 2-week core modules, taught during the first two terms, which will cover topics such as: deep learning, causal inference, generative AI, bayesian inference, data wrangling, statistics and probability, and networks analysis.

Our modules are designed to foster both in-depth learning and cohort-building, and rely on team work and collaboration. We have woven best practices in sustainable and reproducible research into all aspects of the scientific training programme.

After the taught modules, student will carry out two 10-week research projects under the supervision of academics from the supervisor pool. During this time, students will be based in the home department of their mini-project supervisors.
Towards the end of the first year, students will select their DPhil research project which is likely to be a continuation of one of their short research projects.

Leadership and Innovation Programming Training

Students in the CDT will also have access to EIT leadership and innovation training to support them through to graduation and beyond. With a core focus on leadership and purpose, this training emphasises self-leadership, personal values and the skills needed to lead others and systems. Innovation and entrepreneurship are also central, providing students with access to top innovators and experts, along with opportunities to learn both the theory and practice of entrepreneurship. The training is delivered through a variety of formats, including expert talks, practical workshops and peer discussions.

Government Innovation in the Era of AI

Technology in general and AI in particular has the capacity to transform the ways governments work across almost all relevant domains. As part of our programs, we work with policy experts and technological experts to create the products and solutions governments need to meet the pace and scale of the technological revolution.

Health & Medical Science

To improve human health and reduce health inequalities, we need to shift our global mindset from treatment to prevention. EIT is developing healthcare excellence in preventative medicine by combining rigorous research with cutting-edge technology. Our programs embed comprehensive and innovative system solutions that provide radical changes to the way healthcare is conceived and delivered across multiple domains, such as pathogen diagnostics and surveillance, prevention and modulating the immune response for health benefit.

Food Security & Sustainable Agriculture

Improving yields and resilience of human food production is crucial in a world where climate change and expanding populations are putting food supplies at risk. Our programs focus on increasing the yield and characteristics of agricultural products using both indoor and outdoor methodology and gene editing while also using plants to effectively deliver carbon fixation and natural nitrogen to the soil and to increase reliability of global food supply.

Climate Change & Clean Energy

Using the application of technological solutions, our programs identify and develop comprehensive solutions to altering the sources and storage of energy that shift away from carbon generating methods and consider how best effective storage systems can be developed.