We offer traditional UK style PhD supervision in medicine, biomedicine and health-related social science, with unique opportunities to complete a PhD via distance e-learning coursework, research and thesis.
Please contact your department for the latest details on PhDs in Health and Medicine. Each department will also have full details on the latest funded PhD opportunities and on how to apply for your PhD.
In addition to traditional UK-style PhD supervision, we offer PhD study by Blended Learning.
How to Apply
Applications to study for a PhD/MPhil and MD are made directly to Lancaster University.
You should provide an outline of your proposed research topic to support your application. Applicants for allocated studentships from Research Councils in the UK should give the title of the project and should indicate any previous experience which is relevant.
Before submitting an application, it is important that you contact the relevant Divisional staff to discuss your application.Find out more
As an interdisciplinary faculty our research students have access to high quality training from across the University. The Faculty also runs specific research workshops available to students from other faculties. Depending on your chosen research specialism you will be able to access workshops offered by the Faculty of Science and Technology, the Faculty of Arts and Social Sciences and Lancaster University Management School, in addition to more specialised subject or discipline-based training courses.
Choosing an using software for qualitative and mixed-methods research
This series of workshops introduces how Computer Assisted Qualitative Data Analysis Software (CAQDAS) can support and enhance qualitative and mixed-methods research approaches.
The workshops explore methodological considerations in choosing software, and approaches to combine analytic strategies with software tactics.
Qualitative Analysis Strategies
Consideration is given to the following methodological approaches, positioned as 'analytic strategies', which are explored in terms of how they can be supported through 'software tactics' utilising the features and tools of particular packages:
- Grounded Theory
- Thematic Analysis
- Narrative Analysis
- Discourse Analysis
- Interpretative Phenomenological Analysis
- Conversation Analysis and other Ethnomethodological approaches
- Actor-Network Theory
Other methodologies are also explored – please contact the convenor if you have specific needs or requirements.
Software Packages and Tactics
The following different packages and their features are explored in different workshops:
Low-cost “QDA light” software packages: Quirkos and F4 Analyse
These support basic coding, memoing and basic retrieval available at low cost to students – including Quirkos and F4 Analyse and open up opportunities for participant involvement in the analysis process.
Industry Standard CAQDAS packages: ATLAS.ti and NVivo
Sessions introduce and develop approaches to using the two powerful packages available with a site license for Lancaster Students: ATLAS.ti and NVivo on both Mac and PC.
These workshops are delivered in blended mode and are available for both on-campus and distance learning research students. Numbers are limited to 12 per workshop for on-campus students, unrestricted for distance learners.
The workshops are available to research students from all faculties.
Working with Big Qualitative Data: Leximancer
Leximancer is introduced as a package to work with large qualitative datasets (including 1000s of articles or other data) for semi-automated thematic and sentiment analysis.
Further information and sign up
Please go to the registration page and follow the instructions on screen to sign up, access further information, view schedules for the academic year and sign up for the modules that meet your needs.
Practical research ethics
The aim of this workshop is to enable postgraduate research students to gain skills in practical research ethics when applying for ethics review for their research fieldwork.
This workshop is part of the Faculty of Health and Medicine Postgraduate Training Programme offering a range of lively, interactive workshops to provide opportunities for research skills training. The short interactive skills based session is delivered by FHM staff with experience as members of the FHM Research Ethics Committee. The session will complement the Researcher Development Framework (Vitae, 2010).
The workshop, based on a well-established existing postgraduate research ethics module, will enable students to develop their 'ethical mindset' when designing fieldwork including understanding concepts of research ethics governance, identifying key ethical issues relevant to their specific research area and considering effective ways to address ethics at each stage of the research. All participants will have instruction in where to locate and how to complete the full ethics application relevant to their research.
- Basic concepts of research ethics governance
- Developing an 'ethical mindset' appropriate for your research field
- Identifying key ethical issues and requirements in your research
- Locating and working with the relevant ethics review application forms
- Writing supporting documents
- Ethical data management from collection and analysis to storage and deletion
- Ethics in dissemination
Participants attend two half day face-to-face interactive workshops set one week apart to allow the completion of an individual practical task.
This workshop is open to research students from all faculties with a particular relevance for those undertaking research in health or medical settings.
Further information and sign up
For information on dates and to book your place, please email Dawn McCracken at email@example.com.
Short courses in statistics
The Department of Mathematics and Statistics at Lancaster University offers a programme of continuing professional development courses aimed at scientists, social scientists, health researchers, teachers and professional medical statisticians. Courses cover a wide variety of topics including Using R Software, Structural Equation Modelling and Longitudinal Data Analysis, as well as Clinical Trials methodology. The majority of courses will run over two consecutive days. Our longer courses held by the Medical and Pharmaceutical Statistics Research Unit comprise 3 days of tuition, spread over 4 days, beginning and ending just after midday to allow participants time for travel to and from the University.
For more information visit the course page.