Skills and Broadening Training Courses
Graduate Training Framework
The Department and wider University offer a range of training provision which covers research, academic and transferable career skills. The table below summarises the main courses and providers which students are likely to find useful.
Students are expected to take responsibility for shaping their own training, supported by their supervisor. However, please note:
- there is a specific requirement to undertake 'broadening' training: courses which are designed to broaden the student's knowledge and understanding of the Mathematical Sciences in particular.
- many important skills can be developed through teaching, and each DPhil student is generally expected to participate in teaching. The Institute runs a Training in Teaching Programme to support students in developing these skills.
Foundations Phase (0-12 months) | Intensive Research Phase (12-30 months) | Completion Phase (24+ months) | |
| Transferable Career Skills | Appropriate Fridays@4 Seminars | Careers Service events and training Appropriate Fridays@4 Seminars
| Appropriate Fridays@4 Seminars Careers Service events and training
|
| Research Skills |
'An Introduction to Latex' - see Lecture Lists for Michaelmas and Hilary Terms and Course Material webpage | Scientific Computing for DPhil students - see Lecture Lists for Michaelmas and Hilary Terms and Course Material webpage Python in Scientific Computing*, C++ for Scientific Computing, Solving PDEs on Supercomputers* – see Special Topics courses run for MSc in Mathematical Modelling and Scientific Computing
| |
| Academic Skills | See information on Broadening Training | See information on Broadening Training | See information on Broadening Training |
[*Note: if you wish to attend these courses you will need to contact the lecturer in advance for further details, as you will need to bring a laptop installed with appropriate software.]
Information on the MPLS Divisional training programme for DPhil students is also found here:
https://www.mpls.ox.ac.uk/training/pgr/PGR
Notes:
1. The phases are for guidance rather than rigid timescales.
2. The skills categories are defined as follows: Academic skills are lecture courses/ subjects that form an extension to, and fill gaps in, undergraduate knowledge; research skills are those needed to actually carry out research, for example safety, equipment use, programming; transferable career skills are those which are core to every student’s development and are genuinely transferable, although they may have a subject nuance.
3. Therefore Academic skills and Research skills sit in departments. Transferable career skills sit in both department and Division (and other providers as appropriate)
To browse the full range of courses provided by departments in MPLS, see:
https://www.mpls.ox.ac.uk/training/career-development-and-training