Health Data Science MSc/PG Dip/PG Cert

University College London

Postgraduate

In London

£ 9,850 VAT inc.

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Description

  • Type

    Postgraduate

  • Location

    London

  • Duration

    1 Year

The UCL programme in Health Data Science covers computational and statistical methods as applied to problems in data-intensive medical research. Students learn techniques that are transforming medical research and creating exciting new commercial opportunities. Our recent graduates, many of whom begin paid internships while completing the MSc, have moved on to roles in industry and academia.

Facilities

Location

Start date

London
See map
Gower Street, WC1E 6BT

Start date

On request

About this course

Students on this programme will be passionate about research and know that, in the 21st century, some of the most exciting, stimulating and productive research is carried out using large collections of data acquired in big collaborative endeavours or major public or private initiatives. We hope that graduates will build on that passion and, together with the experience gained on the programme, will go one to develop careers as entrepreneurs, scientists and managers, working in industry, academia and healthcare.

A minimum of an upper second-class Bachelor's degree, or equivalent, in a clinical or a scientific discipline with a significant computational or mathematical element.

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Reviews

This centre's achievements

2018

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 14 years

Subjects

  • Statistics
  • Systems
  • Medical
  • Medical Research
  • Medical training
  • Health Data
  • Data Science MSC
  • Health Data Science MSc
  • Data Management
  • Health research

Course programme

Students learn how to link and analyse large complex datasets. They design and carry out complex and innovative clinical research studies that take advantage of the increasing amount of available data about the health, behaviour and genetic make-up of small and large populations. The content is drawn from epidemiology, computer science, statistics and other fields, including genetics.

Students undertake modules to the value of 180 credits.

The programme consists of five core modules (75 credits), three optional modules (45 credits) and a dissertation/report (60 credits).

A Postgraduate Diploma (120 credits) is offered.

A Postgraduate Certificate (60 credits) is offered.

Core modules
  • Principles of Epidemiology Applied to Electronic Health Records Research
  • Data Management for Health Research
  • Basic Statistics
  • Regression Modelling
  • Principles of Health Data Science
Optional modules
  • Advanced Statistics for Records Research
  • Database Systems
  • Information Retrieval and Data Mining
  • Essentials of Informatics for Healthcare Systems
  • Machine Learning in Healthcare and Biomedicine
  • Statistics for Interpreting Genetic Data
  • Electronic Health Records
  • Clinical Decision Support Systems
Dissertation/report

All students undertake an independent research project which culminates in a dissertation. Project Proposal 20% (2,000 words); Journal Article 80% (6,000 words).

Teaching and learning

The programme is delivered by clinicians, statisticians and computer scientists from UCL, including leading figures in data science. We use a combination of lectures, practical classes and seminars. A mixture of assessment methods is used including examinations and coursework.

Additional information

Fee - £24,860 (FT) £12,380 (PT)

See related categories

Health Data Science MSc/PG Dip/PG Cert

£ 9,850 VAT inc.

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