Viva practice and preparation (in-person)
Dr Molly Grace
All DPhil students Viva
Tuesday, 28 November 2023, 10am to 1pm
This participative workshop provides doctoral students in the third year and above with information about the viva, guidance on planning a proactive approach to it, and opportunities to practise.
The course will look at the rules and expectations of the viva exam and identify and practise practical ways to prepare.
By the end of the session participants will be able to:
- Develop their awareness and understanding of the rules and expectations of the viva exam.
- Use tools and strategies to prepare for the exam.
- Develop an awareness of the examiner's perspective.
- Know what to expect of the exam.
Third and fourth year graduate research students.
NUMBER OF PLACES
DATE / TIME
28th November 2023 | 10.00 - 13.00
Dr Molly Grace
Booking for this course will open at the beginning of Michaelmas term.
TERMS & CONDITIONS
When registering for this course, please check our Terms and Conditions.
B1, B2, B3, D2
The Researcher Development Framework (RDF) provides a framework for planning and supporting the personal, professional and career development of graduate students and research staff. See the the following for more details:
The Researcher Development Framework page
The Researcher Training Tool (click on Researcher Development)
Vitae (Vitae is a national organisation dedicated to realising the potential of researchers through supporting their professional and career development.)
TESTIMONIALS FROM PAST PARTICIPANTS
I am now more aware of the whole process and what to consider beforehand to ensure a successful outcome.
I feel much more prepared to face the viva as the natural progression from completing my thesis and understanding the work that I have done over the past four years.
It is easy to forget that all students are passionate and capable of discussing their research in depth, and this course helped me view the viva as a positive experience in which I will be able to discuss at length my own work, findings and conclusions.