Training
Our training consists of scientific core and interface coursework, training in collaborative advanced research computing, student-led activities such as cohort reading groups, communication skills, ethics & RRI workshops, industry-focused initiatives, and an external placement with one of our academic, industry or third sector partners.
Core and Interface coursework
The heart of our scientific training in year one comes through our Core and Interface courses, delivered by staff at all three universities, and spanning the breadth of algebra, geometry and quantum field theory. Click here to view our Core and Interface coursework, as well as the panorama of aligned coursework offered by our institutions.
Communication Skills
Through the Examples Showcase and the Group Project, our students learn important scientific communication skills. Students further hone these skills by presenting at annual conferences and workshops throughout their studentship. Finally, they learn to present themselves and their work professionally to the wider world during Landing the Transition sessions in their final years.
Cohort Reading Groups
Students are invited to organise student-led cohort reading groups to learn a particular topic together. The CDT will support these students with a reading group webpage, hybrid room booking, and advertisement of the working group to the cohort. Please visit the Cohort Reading Groups page for a full list of past and present cohort reading groups.
Advanced Research Computing
The research computing courses will explore a variety of connections between Algebra, Geometry, and Quantum Fields and the world of modern computing and data analysis. One consistent goal of the course will be to increase students’ fluency and familiarity with a modern programming environment, including coding in Python and other languages, and collaborative programming with GitHub.
Topics will vary from year to year. The course running in Semester 2 in 25/26 will have a focus on machine learning and the use of geometry and topology in data analysis. Future planned topics include mathematical computing and interactive theorem proving with Lean. Click here to see the course which ran in Semester 2 of 24/25.
Responsible Research & Innovation
During the 25/26 academic year Cohort 2 will have a series of workshops led by Dr. Michael Barany, exploring the role of individual identity in mathematical research and the impacts of mathematics on society and vice versa. We will discuss what lessons we can draw about doing research in a way that is ethical and meaningful both in an academic context, and with a view towards its wider impact on society.