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Potential MSc Courses for Round 4 NIHR Pre-Doctoral Fellowship


19 January 2022


1.2 Jan 2022


The Pre-Doctoral Fellowship offers applicants who currently do not hold a Masters Degree the opportunity to undertake a fully funded master level course in a relevant research methodology.
The list below contains the names and contact details for a number of masters courses that could be deemed appropriate to undertake as part of the training and development of this Fellowship. It is not an exhaustive list and applicants may apply for other relevant courses as required. We aim to build a portfolio of potential Masters Courses round upon round, therefore this list will expand as the Fellowship continues.
For further information, please refer to the latest set of guidance notes listed on the NIHR website. 
Please note: should you propose to undertake one of these courses as part of your training and development plan, this does not automatically guarantee funding for the Pre-Doctoral Fellowship, or a place on the listed course.

Health Economics Masters

Contact Name


Contact email

MSc Title

Areas able to support

Victoria Serra-Sastre City, University of London City, University of London: Health Economics Victoria Serra-Sastre is a Senior Lecturer at the Department of Economics at City, University of London. Her main research interests are health economics and applied
microeconometrics. Victoria’s main areas of research are on technology diffusion of health care technologies, and its impact on health outcomes and hospital performance. She
also works on issues around retention of hospital workforce and productivity, and topics of maternal and child’s health.
Professor Luigi Siciliani

University of York

University of York: Health Economics Luigi Siciliani is a Professor of Health Economics at the Department of Economics and Related Studies at the University of York, where he directs the MSc in Health Economics.He has specialised in health economics and micro-econometrics with a focus on healthcare providers. His research interests include waiting times for non-emergency treatment, hospital quality competition, contracting theory applied to health care, pay for performance and coordination between health and social care.
Dr Patrick Moore University of Birmingham 
University of Birmingham: MSc Health Economics and Health Policy
University of Birmingham: MSc Health Economics and Econometrics
We run two MSc programmes: MSc Health Economics and Health Policy and MSc Health Economics and Econometrics. There are also a number of modules that are available as short courses: Introduction to Health Economics; Economic Evaluation of Healthcare; Statistics for Health Economics Iⅈ Policy and Economics of Healthcare Delivery; Modelling for Health Economics. We are interested in supervising anything related to health economics and have specific expertise in methods modelling, econometrics and methods for valuing outcomes and dis-utilities associated with screening but have a broad team with specific expertise in a range of clinical areas and methods and who are happy to support a full range of Health Economics related research. Dr Patrick Moore is a Lecturer and Director of Teaching at the University of Birmingham Health Economics Unit. Patrick is particularly interested applying econometrics techniques to answer research questions in health care utilisation, aging and economic evaluations of clinical trials.  
Dr Apostolos
University of East
Anglia UEA: Health Economics MSc and PgDip Health Economics
Dr. Apostolos Davillas is the Course Director. His research covers a wide range of topics relevant to the social and economic determinants of health, health care demand, utilisation of health services and health care costs, the economics of obesity, the economics of disability, the economics of prevention, the economics of risky behaviours and socioeconomic inequalities in health and healthcare. Apostolos is also interested in the survey measurement of health and the implications of measurement error for the existing (health) economics research.
Further details on our MSc in Health Economics program can be found here.
Professor Ceu
University of
Lancaster University of Lancaster:
MSc in Health
Economics and Policy
Céu Mateus is a Professor of Health Economics at the Division of Health Research at Lancaster University. Her main research interests are health economics, health policy evaluation, and health technology assessment.
Céu has a wide experience on the evaluation of digital technologies and their impact on the provision of health care and in improving access to care for certain population
groups (elderly, ethnic minorities, rural populations, etc.)


Alan Brennan
      Donna Rowen
      Emma Earle


University of
University of
Sheffield: Health
Economics and
Decision Modelling
Within the School of Health and Related Research (ScHARR), Alan Brennan (Professor of Health Economics and Decision Modelling) has been developing and applying modelling in support of healthcare decision-making nationally and internationally, across a large range of diseases, interventions, and policy issues for over 25 years.
                                                                Donna Rowen is Professor of Health Economics, specialising in measuring and valuing health and quality of life in various fields including cancer, dementia, diabetes, epilepsy, and mental health
problems.Alan and Donna are involved with the management of the course. Emma Earle is the course administrator.
                                                                    We are interested in supervising projects covering health economic modelling and evaluations (often cost-effectiveness analyses/health technology assessments) covering any clinical area and for a variety of types of intervention including new drugs, screening programmes, public health policies, and medical devices.

Medical Statistics Masters

Contact NameOrganisationContact emailMSc TitleAreas able to support
Stephanie Hubbard University of Leicester 
University of Leicester: Medical Statistics Stephanie Hubbard is the Associate Professor of Medical Statistics and joint course Director for the MSc in Medical Statistics. Her research interests are in the area of evidence synthesis for the evaluation of the effectiveness and cost-effectiveness of complex interventions, particularly in public health.

The Biostatistics and Genetic Epidemiology research group at Leicester delivers the MSc in Medical Statistics. Methods/areas in which we would be able to support fellows include: Survival Analysis; Health Technology Assessment; Health Economic Decision Modelling; Clinical Trials Methodology; Machine Learning; Analysis of linked Electronic Health Record data (“Big Data”); Causal Inference; Visualisation of Statistical Concepts, Data and Analyses results; and Statistical Methodology and Computation Development motivated by complex problems in genetics.We have collaborations across many clinical and related disciplines with particularly strong collaboration in cancer survival, cardiovascular disease, public health and diabetes.
Dr Andrew Titman University of Lancaster  University of Lancaster: Statistics Andrew Titman is Professor of Statistics and the research theme lead for Medical Statistics within the Department of Mathematics and Statistics. His main research interests are in survival and event history
analysis, with a particular interest in methodology and applications of multi-state models.The Statistics group at Lancaster run the MSc in Statistics which includes a Medical pathway covering clinical trials, epidemiology, longitudinal data analysis and survival analysis. We would be able to support fellowship applications in a broad range of areas including survival analysis, joint longitudinal-survival modelling, quality-of-life assessment, spatial epidemiology, adaptive design of clinical trials, personalised medicine, and health-care monitoring technology. We have active collaborations both with the university Faculty of Health and Medicine and with external clinical trials units.
Kathy Baisley London School of Hygiene and Tropical Medicine (LSHTM)
LSHTM: Medical Statistics
Kathy Baisley is the Associate Professor in Epidemiology and Medical Statistics. Her research areas include clinical trials, infectious disease policy and complex interventions.

Current areas of methodological research that the LSHTM Medical Statistics department would be able to support include: missing data, especially in longitudinal studies; propensity scores and other methods of adjustment for confounders; methods for causal inference (e.g. mediation analyses, methods for time-varying confounding adjustment); time-updated models relating disease events/biomarkers to prognosis; development of user-friendly prognostic risk scores; allowance for measurement error; small sample inference for mixed models.

Methodological research in clinical trials includes: adaptive designs; non-inferiority trials and surrogate endpoints; cross-over trials; multiplicity of data (e.g. subgroup analyses, composite endpoints, repeated measures) in trials; statistical methods for the evaluation of complex interventions.
Professor Daniel Stahl

Zahra Abdulla
King’s College London KCL: Applied Statistical Modelling and Health Informatics
Daniel Stahl is Professor of Medical Statistics and Statistical Learning and lead of the "Precision Medicine and Statistical Learning" group. Zahra Abdulla is Senior Teaching fellow in statistics. They are academic program leads of the MSc in “Applied Statistical Modelling and Health Informatics, which is centred on the disciplinary strength and academic excellence of the Department of Biostatistics and Health Informatics located in the Institute of Psychiatry, Psychology and Neuroscience, King’s College London.

The MSc delivers a skill set and knowledge base in complex “multimodal” and “big data” analysis techniques, which are a recognised scarcity within UK Life sciences. Students will receive world-class training in core applied statistical methodology, machine learning and computational methodology. They will have the opportunity to apply their skills to real-life settings facilitated by the world-leading Institute of Psychiatry, Psychology & Neuroscience. Students can choose projects from a variety of research areas, such as health informatics, prediction modelling, clinical trials, causal modelling, psychometrics, epidemiology, structural equation modelling, natural language processing, machine learning, computational neuroscience and AI.  
Professor Steven A.
The University of
The University of Sheffield: Statistics
with Medical
The MSc is an applied MSc which can be undertaken
either full time or by distance learning.
The MSc gives excellent statistical grounding.
Students who complete the MSc go on to work in clinical trials - in academic or in industry settings - or continue their studies through a PhD.


Operational Research Masters

Contact NameOrganisationContact emailMSc TitleAreas able to support
Dr. Yanchun
University of
University of Essex:
Statistics and
Operational Research
Dr. Yanchun Bao will be able to offer support in statistics, biostatistics and operational research. For further information, please click the link here .


Epidemiology Masters

Contact NameOrganisationContact emailMSc TitleAreas able to support
Professor Penny
University of
University of
The MSc will introduce the principles of modern epidemiology and its role in public health and other health-related disciplines. You will learn how to design and analyse experimental and observational studies covering aetiology, interventions,
diagnosis and prognosis. There will be opportunities to learn about cutting-edge methods in causal inference and molecular epidemiology.
Professor  Mark
University of
You study a subject-specific module in clinical epidemiology. This provides a theoretical and practical understanding of:
  • the value, theoretical basis and practicalities of epidemiology
  • approaches to epidemiological research


Bioinformatics Masters

Contact NameOrganisationContact emailMSc TitleAreas able to support
Paolo Zuliani University of
Univeristy of
Paolo Zuliani is Senior Lecturer in the School of Computing at
Newcastle University. He is the Degree Programme Director for the MSc Bioinformatics and the MSc Synthetic Biology, which are provided by ICOS, a 60-strong research group working at the interface between computing and the life sciences.
The MSc Bioinformatics is a highly interdisciplinary programme built around computational approaches, including machine learning and Artificial Intelligence, for analysing the large volumes of data generated by multiple ‘omics technologies such
as genomics, proteomics, etc. The programme has a strong emphasis on research, both in the core taught material and the dissertation project, which many of our students carry out in research labs across the whole University, or even in