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  • PhD Handbook - Taught Modules for 1st Year & Academic/Career Tools Sessions for PhD Students

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Important note: From October 2018 all PhD students are required to attend a minimum of 3 of career and academic tools sessions

Students are required to attend a minimum of 3 of the hour-long career and academic tools sessions provided by the Department and hosted by the ECR forum during their three-year PhD tenure. The sessions offered for now are: Remaining in Academia; Outside of Academia; Viva talk and Grant writing; Writing a CV; Interview Skills; Peer Reviewing; Using Social Media; Open Science/open access. Please note not all sessions are offered each year; some will be offered every other year. There might be additional topic session offered given demand and availability. Attendance will be collected by ECR forum but coordinated and kept by the graduate administrator.

Taught courses for 1st Year Research Students

PhD students usually start their studies at the end of September. In your first week, you will meet your supervisor, the Chair of Graduate Studies (Prof. Alex Wade) and your PhD ‘buddy’ (a second or third year PhD student assigned to help you find your feet in the first few weeks). You will be shown your office, set up your email address and start reading around your topic. You will have the opportunity to meet key people in the department, plus the PhD students in Years 2 and 3 who can help you settle in.


PhD students may also benefit from attending other MSc or undergraduate courses that provide further relevant background or skills and/or plug a gap in their knowledge. Full details of all our taught Masters courses are available on the VLE. If you do wish to attend additional sessions, please check with your supervisor and the module organiser in the first instance.

Descriptions of Core Modules

All research students

  • Research Design and Statistics (Term 1). The primary aim of the course is to give each student the necessary grounding in design and statistical methods necessary for research in psychology. The course includes a mix of theory and practice, with the latter based around SPSS.