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UCL Institute of Health Informatics

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Dissertation in Health Data Science

The dissertation is an independent research project which is researched and written under the supervision of a member of academic staff. The model for the dissertation is a journal article. The module provides a structure for taught and independent study to enable you to:

  • explore the theoretical principles, approaches and methods of research in data science
  • manage the practicalities of research such as project planning, dealing with ethical committees and so on
  • gain experience in writing a proposal
  • undertake your own research project
  • write up your work in a reflective and scholarly way
  • prepare for publication of your work

What you choose as the focus of your research project and dissertation will depend very much on your own interests, and the opportunities you have available locally. The requirements for this module are that your project is a) relevant and motivating to you; b) small enough for you to be able to focus on developing and demonstrating key research skills (rather than laboriously collecting and analysing large amounts of data); and c) discussed and agreed with the dissertation team.

Module code

CHME0021

UCL credits

60

Course Length

48 Weeks

Face to Face Dates

  • Nov: TBC ONLINE
  • Dec: TBC ONLINE
  • Jan: 18
  • Feb: 22
  • Mar: 22
  • May: 24
  • Jun: 28

Assessment Dates

Proposal Submission: TBC

Journal Paper Submission: TBC

Module organisers

Dr Paul Taylor For further information contact courses-IHI@ucl.ac.uk

Who can study this course?

MSc Health Data Analytics students

Admission requirements

Open to all UCL MSc Health Data Analytics students who have or are in the process of completing the eight taught modules.

Content

Independent research project

Assessment

Project proposal (20%); Journal paper (80%)

Selected reading list

Dependent on project area