Research Student Seminar

This information is for the 2021/22 session.

Teacher responsible

Dr Christoph Czichowsky COL 3.11, Prof Jozef Skokan COL 3.04, Prof Julia Boettcher, Dr Ahmad Abdi and Prof Johannes Ruf


This course is compulsory on the MPhil/PhD in Mathematics. This course is available with permission as an outside option to students on other programmes where regulations permit.

Other members of the research community are welcome to attend.

Course content

The seminars range across many areas of pure, applied and financial mathematics. The emphasis is on topics in discrete mathematics, algorithms, operations research, game theory, financial mathematics and control theory. The seminars are regarded as an important part of research students' formal training and they will all be expected to attend and contribute.  Throughout the academic year, students are also invited to give presentations.

There are additional reading groups aimed at students working in financial mathematics and discrete mathematics. These are compulsory for students working in this area but other students of the MPhil/PhD in Mathematics are welcome to attend.



PhD Seminar on Combinatorics, Games and Optimisation (MA501.1): 11 one-and-a-half-hour seminars in the MT and LT. 7 one-and-a-half-hour seminars in the ST.

LGSMF Portfolio Optimisation Seminar (MA501.2): 11 three-hour seminars in the LT. 7 three-hour seminars in the ST.

Financial Mathematics Reading Group Seminar (MA501.3): 11 three-hour seminars and 11 one-hour seminars in the MT and LT. 7 three-hour seminars and 7 one-hour seminars  in the ST.

Discrete Mathematics Reading Group Seminar (MA501.4): 11 three-hour seminars in the MT and LT. 7 three-hour seminars in the ST.

Approximately 80-90 meetings of between 1 and 3 hours throughout the MT, LT and ST, dependent on speakers. See for schedule and more details.

Course selection videos

Some departments have produced short videos to introduce their courses. Please refer to the course selection videos index page for further information.

Important information in response to COVID-19

Please note that during 2021/22 academic year some variation to teaching and learning activities may be required to respond to changes in public health advice and/or to account for the differing needs of students in attendance on campus and those who might be studying online. For example, this may involve changes to the mode of teaching delivery and/or the format or weighting of assessments. Changes will only be made if required and students will be notified about any changes to teaching or assessment plans at the earliest opportunity.

Key facts

Department: Mathematics

Total students 2020/21: 3

Average class size 2020/21: 3

Value: Non-credit bearing

Guidelines for interpreting course guide information

Personal development skills

  • Communication