Education, Training &amp; Development in Pharmacy Practice (PHAY0047)

The aim of this module is to equip pharmacists with key education, training and development skills to support workplace learners. Pharmacists completing this module will critically reflect on how to apply teaching and learning theories in the workplace, and develop their supervision, mentoring and coaching skills, in particular to identify complex educational needs or environments. Participants will consider the ways in which learners can reach their full potential and what to do in cases of difficulty. Learning about the fundamentals of assessment, peer observation of teaching, and educational policy will enable participants to develop a new local education and training programme or policy. Participants will be invited to identify a programme or policy with managers and educational leads in the workplace, in order to deliver tangible outcomes from undertaking this module.

This module is completed by pharmacists on the advanced professional practice route of the MSc in Advanced Pharmacy Practice (MScAPP) and can also be studied as a stand-alone short course. It is usually completed in six months, though pharmacists on the full MScAPP programme for over a year will complete this module over a longer period.

This module will follow on from PSYC0223, providing you with both more advanced tools for data manipulation and plotting, as well as further training in more...

Research Methods: Principles, Skills and Applications (PALS0048)

This module will follow on from PSYC0223, providing you with both more advanced tools for data manipulation and plotting, as well as further training in more advanced statistical procedures. The first half of the term will focus on so-called 'data wrangling' and the production of high-quality data plots, using the open-source software package R. In the second half of the term, you will learn how to use R to do the basic statistical tests you have already learned about in the first term more flexibly, as well as develop expertise in more advanced techniques, with an emphasis on so-called mixed effects models and regression.