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Biostatistics and Health Informatics Research PhD

Biostatistics and Health Informatics Research PhD

Key information
DATA SOURCE : IDP Connect

Qualification type

PhD/DPhil - Doctor of Philosophy

Subject areas

Statistics Mathematics For Specific Applications Health Studies Health Informatics

Course type

Research

Course Summary

Overview

Recent publications: Several Biostatistics and Health Informatics staff have led or contributed to major publications in quantitative methodology as applied to mental health research, in particular in randomised trials and electronic health records. The department has published extensively in peer-reviewed journals and a series of important text books.

Key Benefits: Our PhD programme is designed to train and guide students for a research-intensive career in the academia or industry. Our aim is to train scholars who can do original innovative research or applications in theory, methods, or applications. Students will benefit from world class research and facilities plus internationally recognised supervisors.

Description

The Department of Biostatistics and Health Informatics seeks to develop quantitative methodology as applied to mental health research, with significant national and international collaborations and with growing impact into all areas of medicine particularly through expertise in trials and software development.

The Department is organised into two groups who work closely together on research projects.

The Biostatistics Group is made up largely of statisticians. We have five primary areas of methodological and applied research:

Methods for lifecourse epidemiology
Psychometrics and measurement lab
Trials methodology (in collaboration with the UKCRC registered King’s Clinical Trials Unit)
Prediction modelling and personalized medicine;
Causal analysis and evaluation

The Health Informatics Group comprises a mix of data and computer scientists, research software engineers and clinical & bio-informaticians, motivated towards enabling a “panor-omic” view of patients through the integration of traditional omics data with data derived from patient records, the exposome, social graphs, biosensors and imaging to develop P4 medicine approaches, namely, medicine that is precise, predictive, preventative and participatory. In essence, we want to enable the right treatment at the right time for patients. The group has a breath of bio, clinical, medical and health informatics expertise with output that is having direct impact on clinical care.

The department is a leader in the education of methodology, applied statistics and Health Informatics. The department offers a wide range of introductory and advanced training and our Statisticians and Health Informaticians provide consultation on a wide variety of topics related to the field.

Course study environment

Graduate research students work closely with their supervisors and have regular meetings to discuss their progress. They liaise with other members of staff with relevant research interests and are encouraged to attend and participate in departmental research presentations and other Institute seminars. There is a full induction for new graduate students on commencing their studies. Each graduate research student is allocated their own workspace and computer.

Different course options

Full time | Denmark Hill Campus | 3 years | OCT-19

Study mode

Full time

Duration

3 years

Start date

OCT-19

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£6,100

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£23,000

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Bachelor's degree with 2:1 honours. A 2:2 degree may be considered only where applicants also offer a Masters with Merit