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Biostatistics and Health Informatics Research MD(Res)/MPhil/PhD

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Overview

Number of academic staff: 32

Number of students: 10

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. Full details are available on kclpure.

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.

Key information

Duration Three years FT; six years PT. Accelerated PT rates available - email iop.educationsupport@kcl.ac.uk for further information. Registration is carried out at three points in the year: October, February and June.

Study mode Full-time, Part-time

Further details

Awarding institution King's College London

Faculty Faculty of Life Sciences & Medicine Institute of Psychiatry, Psychology & Neuroscience

Department Biostatistics Department

Locations

 

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Course detail

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.

Postgraduate training

Training courses run by the Department, the Institute or through the Centre for Doctoral Studies can be accessed as required to provide training in a wide variety of topics, from transferable skills to academic areas directly relevant to the student's thesis.

Head of group/division

Professor Sabine Landau

Contact for information

For any additional queries regarding application and project approval procedures please contact

Education Support Team: Lauren Soules- ioppn.educationsupport@kcl.ac.uk

Admissions Tutor: Dr Raquel Iniesta- Raquel.iniesta@kcl.ac.uk

Business Manager: Ms Josephine Mumford- Josephine.mumford@kcl.ac.uk   

Contact email

iop-biostatisticseducation@kcl.ac.uk

Course website

https://www.kcl.ac.uk/ioppn/depts/BiostatisticsHealthInformatics/index.aspx

Entry requirements

Entry requirements

Biostatistics Research entry requirements
Minimum UK requirements  
  • Bachelor's degree with 2:1 honours.
  • A 2:2 degree  may be considered only where applicants also offer a Masters with Merit
International requirements   Visit our admissions webpages to view our International entry requirements.
English Language requirements Band E Visit our admissions webpages to view our English language entry requirements.

 

Applicants not applying for an advertised studentship must attached confirmation of support from your proposed supervisor to your application.

Application procedure

Application procedure:

Step 1- Finding Supervisors: Firstly, you will need to find supervisors to work with you in this capacity. You can search through our research portal to find supervisors who work in your chosen research area. Applicants are expected to contact academics directly.

Step 2- Arranging funding: Unless you are applying for a studentship or can self-fund your studies, you will need to arrange for funding before you make the application. The following pages are useful:

For tips and advice from our students who have been awarded NIHR and MRC Research Training Fellowships, particularly regarding the interview stage click here.

Step 3- Make an online application: Next you need to make your online application here.  This application will be assessed by the Admissions team to assess your references, fee status as well as your eligibility in terms of education and experience.

Step 4- Submit a Project Approval Form: The project approval form (PAF) is used to assess your project in terms of planning, feasibility and appropriateness for a PhD. It is the responsibility of the applicant to ensure that the form is completed but it is recommended that applicants work closely with the supervisors.

Make sure you complete all sections, answering all questions fully, and signatures from all supervisors and student are included. There is no need to collect the signatures from the Head of Department/Business Manager and Sub-Committee Chair at this point.

 We strongly advise the submission of your application as early as possible to ensure that you can begin with your desired intake. If your application is not processed in time you run the risk of a deferral to the subsequent intake.

We advise Home students to submit their online application and PAF at least two months before their desired registration date, and EU and Overseas students to submit their online application and PAF at least three months ahead of their desired registration date, although the earlier the application submission the better. This is to take into account any English Language tests you may need to take and await the results of, and any visa applications that you may need to make.

It is typical that the process from the receipt of your online application and PAF through to offer letter stage (which includes the arrangement of the PhD interview) takes approximately six weeks.

Please note that the deadlines listed below are for both the online application and Project Approval Form (PAF) which is to be submitted in Microsoft Word format to ioppn.educationsupport@kcl.ac.uk.

Copies of the PAF can be downloaded here. 

Personal statement and supporting information

No information required.

Course intake

No set number.

Application closing date

The deadlines for applications are detailed below. We will open applications for an intake in 2020 after the final deadline passes in 2019.

  • February 2019 entry – 26th October 2018 for International students and 3rd December 2018 for Home/EU students
  • June 2019 entry - 12th April 2019 for International and Home/EU students
  • October 2019 entry – 26th July 2018 for International students and 30th August for Home/EU students
  • February 2020 entry – 25th October 2019 for International students and 2nd December 2019 for Home/EU students
  • June 2020 entry - 17th April 2020 for International and Home/EU students

Please note that funding deadlines may be earlier.

Help and support

If you don't have a suitable qualification for direct entry to a UK university, or if English isn't your first language, our academic preparation courses can help you get ready for study in the UK.

Preparation courses

Fees and funding

UK/EU Tuition Fees 2018/19

Full time tuition fees: £5,700 per year

Part time tuition fees: £2,850 per year

UK/EU Tuition Fees 2019/20

Full time tuition fees: £6,100 per year

Part time tuition fees: £3,050 per year

International Tuition Fees 2018/19

Full time tuition fees: £22,050 per year

Part time tuition fees: £11,025 per year

International Tuition Fees 2019/20

Full time tuition fees: £23,000 per year

Part time tuition fees: £11,500 per year

Students starting their programme in 2019/20 who are eligible to pay EU fees will pay the same rate of tuition fees as UK students. This will apply for the duration of their programme, but may be subject to change by the UK Government for subsequent cohorts from 2020/21.

These tuition fees may be subject to additional increases in subsequent years of study, in line with King’s terms and conditions.

 

Financial help and support

Visit the fees and funding webpages to find out more about bursaries, scholarships, grants, tuition fees, living expenses, student loans and other financial help available at King's.

Career prospects

By obtaining a PhD in Medical Statistics or Health Informatics you'll gain a qualification that will have a lasting impact on your career and is highly regarded in both academia and industry. Statistician and Health informaticians are high in demand and career options are diverse, with past students finding positions in academic institutions within the UK and abroad, clinical trial units, pharmaceutical companies, such as Roche and Astra Zeneca and tech companies, such as Babylon Health and BenevolentAI or started an own start-up company.


Career destinations

Students pursue a variety of careers.

Testimonials

Next steps

View our postgraduate guide

Learn more about postgraduate degree programmes at King's. Download or view our guide in PDF format.

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