We use cookies to ensure the best user experience and to serve tailored advertising. To learn more about our cookies and how to manage them, please visit our cookie policy

I AGREE
Close icon

Personalise what you see on this page.

Choose from the options below. We'll show you information based on your current location as default.

I'M FROM

  • United States
Please select so we can show the most relevant content.

LIVING IN

  • United States
Please select so we can show the most relevant content.

LOOKING FOR

  • Undergraduate courses
Please select so we can show the most relevant content.
Viewing as a student from United States living in United States interested in Undergraduate courses

Course options

  • Qualification

    MSc - Master of Science

  • Location

    UCL (University College London)

  • Study mode

    Full time

  • Start date

    SEP

  • Duration

    1 year

Course summary

This programme covers computational and statistical methods as applied to problems in data-intensive medical research. As part of this programme, you will gain an understanding of techniques that are transforming medical research and creating exciting new commercial opportunities. You will learn how to link and analyse large complex datasets. You will also 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 programme draws on a range of areas, including epidemiology, computer science, statistics and other fields, such as genetics.

Careers

Today, 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. As a student on this programme, we will work with you to develop your passion and interest in this area of research. You will gain skills for a career as an entrepreneur, scientist or manager, working in industry, academia or healthcare.

Employability

The programme is designed to meet a need, identified by the funders of health research and by a number of industrial organisations and healthcare agencies, for training in the creation, management and analysis of large datasets. This programme is practical, cross-disciplinary and closely linked to cutting-edge research and practice at UCL and UCL’s partner organisations. Data science is a rapidly growing field of employment at the moment and employers recruiting in health data science include government agencies, technology companies, consulting and research firms as well as scientific organisations. A number of employers - IQVIA, Roche, AstraZeneca and Public Health England - are supporting the programme in different ways, including providing paid internships to selected students.

Optional qualifications

This degree is also available as a PG Diploma and a PG Certificate with fees set accordingly.

Tuition fees

Students living in United States
(international fees)

£ 26,380per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

UCL (University College London)

  • University League Table

    10th

  • Campus address

    UCL (University College London), Gower Street, London, Camden, WC1E 6BT, England

Subject rankings

  • Subject ranking

    11th out of 35 2

  • Entry standards

    / Max 239
    196 81%

    10th

    1
  • Graduate prospects

    / Max 100
    99 99%

    21st

  • Student satisfaction

    / Max 5
    3.83 77%

    27th

    2

Suggested courses

University of Roehampton
NEARBY

Anthropology of Health MRes

University of Roehampton

University league table

University of Huddersfield
SIMILAR RANKING

Applied Health Sciences (MSc by Research)

University of Huddersfield

Medicine league table

10
City, University of London
MOST VIEWED

Speech, Language and Communication (Advanced Practice in Health and Social Care) MSc/PGDip/PGCert

City, University of London

University league table

57

Is this page useful?

Yes No

Sorry about that...

HOW CAN WE IMPROVE IT?

SUBMIT

Thanks for your feedback!