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MSc Data Science for Health and Social Care (Online Learning) MSc, PgCert, PgDip, PgProfDev

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Masters Degree Description

Transform your career with the MSc Data Science for Health and Social Care programme, where cutting-edge data science skills meet health and social care challenges.

Entry Requirements

These entry requirements are for the 2026-27 academic year and requirements for future academic years may differ. Entry requirements for the 2027-28 academic year will be published on 1 Oct 2026.

A UK 2:1 honours degree, or its international equivalent, in a health-related degree or in a relevant subject appropriate to the programme of study such as life sciences, social sciences, mathematics, statistics, engineering, computer science or other related discipline.

We may also consider your application if you have a minimum of 3 years' relevant work experience; please contact the programme team to check before you apply. You may be admitted to certificate level only in the first instance.

International qualifications

To find international equivalent qualifications, select where you studied from the country or region list.

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Student Destinations

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Module Details

You must take these courses
Introduction to data science in health and social care
HEIN11037
20 credits
Course options
DSHSC course electives Y1
Select exactly 40 credits of the following courses
Innovation-driven Entrepreneurship-Data Science, Technology and Innovation
CMSE11515
10 credits
Introduction to statistics in health and social care
HEIN11039
10 credits
Data security and protection in health and social care
HEIN11047
10 credits
Introduction to databases and information systems
HEIN11048
10 credits
Data Ethics in Health and Social Care
HEIN11059
10 credits
Applied Software Development in Health and Social Care
HEIN11062
10 credits
Foundations of software development in health and social care
HEIN11066
10 credits
Data Types and Structures in Python and R
HEIN11068
10 credits
Systems Thinking in Health and Social Care
HEIN11080
10 credits
Introduction to GIS and spatial data analysis
INAH11017
10 credits
Statistical Modelling for Epidemiology
PUHR11064
10 credits
Data analysis with R
PUHR11103
10 credits
Advanced Statistics
PUHR11116
10 credits
Applied Epidemiology
PUHR11121
10 credits
Understanding Planetary Health & Data: An Introduction to the Concepts and Themes
VESC11243
10 credits
Foundations of Nutritional Epidemiology
VESC11264
10 credits

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