PhD-Social Psychology, NRPhD-Social Psychology, MSc -Social Psychology
Psychology at Kent offers a supportive, dynamic and diverse environment for creative research and learning.
The breadth of our research interests allows us to offer supervision of research degrees in a number of areas of psychology, including: social psychology; developmental psychology; forensic psychology; cognitive psychology; existential psychology; personality and motivation. You should include an outline of your proposed research in your online application form.
The New Route PhD (NRPhD) is a special option for students who wish to commit to a programme combining taught and research elements. New Route PhD is a four-year degree that spreads the coursework of one of our taught MSc programmes throughout the first two years of registration, but otherwise proceeds as a normal doctorate.
Your research will be supported by a supervisory panel which will include a main supervisor and a secondary supervisor. Who you have as supervisors is decided by the compatibility between your own and the available supervisors’ research interests. Typically, you meet with your supervisors more frequently at the initial stages of research than during the phases of data collection and analysis.
We also provide substantial additional training for our doctoral students. If you have not already successfully completed an advanced statistics and methods course, in your first year you will need to take the Advanced Statistics and Methodology module from the taught MSc. Doctoral students at Kent are also provided with training in research-specific and broader ‘transferable’ skills, including academic writing, career management and presentation skills. You also have the opportunity to train for an advanced teaching qualification (ATAP). During term time, the research groups hold weekly meetings to discuss ongoing work, and there are also weekly seminars featuring external speakers. Numerous data analysis and research methods workshops (recent examples: structural equation modelling; hierarchical linear modelling; meta-analysis; EPrime experimental software), and individual training opportunities are available.
Facts & Figures
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