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Full time | UCL (University College London) | 1 year | 26-SEP-22

Study mode

Full time

Duration

1 year

Start date

26-SEP-22

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Health Informatics Health Studies

Course type

Taught

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.

Modules

Principles of Epidemiology Applied to Electronic Health Records Research - Core
Scientific Software Development with Python for Health Research - Core
Basic Statistics for Medical Sciences - Core
Data Methods for Health Research - Core
Regression Modelling - Core
Principles of Health Data Science - Core

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

12,900

International fees
Course fees for EU and international students

For this course (per year)

29,400

Entry requirements

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.

University information

University College London (UCL) is one of the largest and most highly ranked higher education institutions in the world, conducting leading research across a wide range of subject areas. Throughout its long and prestigious history, it has inspired and educated countless minds and produced 30 Nobel prize recipients. With one campus located in the heart of Bloomsbury, and a second campus in vibrant east London the university is home to around...more

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