THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2025/2026

Timetable information in the Course Catalogue may be subject to change.
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Degree Programme Table: Data Science for Health and Social Care (Online Learning) (MSc) - 3 Years (Part-time) (PTMSCDSHSC1P)

Jump to: Year 1, Year 2, Year 3

Year 1 Academic year: 2025/26, Starting in: September

Notes:
Please note that the delivery of elective courses is subject to demand and availability.

Compulsory courses

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
Introduction to statistics in health and social care
HEIN11039 10 credits
Digital technologies in health and social care
HEIN11043 10 credits
Data security and protection in health and social care
HEIN11047 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
Delivering person-centred care in a digital age for remote and rural areas
HEIN11084 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

Year 2 Academic year: 2025/26, Starting in: September

Notes:
Please note that the delivery of elective courses is subject to demand and availability.

Compulsory courses

You must take these courses
Foundations of research design in data science for health and social care
HEIN11089 10 credits
Applied research design in data science for health and social care
HEIN11090 10 credits

Course options

DSHSC course electives Y2

Select exactly 40 credits of the following courses
Introduction to statistics in health and social care
HEIN11039 10 credits
Data visualisation: knowledge transfer
HEIN11040 10 credits
Managing and leading data-driven innovation
HEIN11042 10 credits
Digital technologies in health and social care
HEIN11043 10 credits
Data standards and core technologies in health and social care
HEIN11044 10 credits
User-driven service design in health and social care
HEIN11046 10 credits
Introduction to databases and information systems
HEIN11048 10 credits
Big data analytics
HEIN11055 10 credits
Implementation science: putting evidence-based interventions into practice
HEIN11056 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
Intermediate R Programming for Data Science
HEIN11067 10 credits
Systems Thinking in Health and Social Care
HEIN11080 10 credits
AI for Care in the Digital Age
HEIN11083 10 credits
Delivering person-centred care in a digital age for remote and rural areas
HEIN11084 10 credits
Natural Language Processing (NLP) in Health and Social Care
HEIN11085 10 credits
Foundations of Machine Learning for Health and Social Care
HEIN11098 10 credits
The use and evolution of digital data analysis and collection tools
PGSP11388 10 credits
Engaging with Digital Research
PGSP11401 10 credits
Systematic Reviews
PUHR11069 10 credits
Qualitative interviewing and data analysis for public health
PUHR11088 10 credits
Data analysis with R
PUHR11103 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

Year 3 Academic year: 2025/26, Starting in: September

Notes:
In order to complete the MSc programme, you must select and complete one of the following course options:
- Dissertation (60 credits)
- Work-based placement (60 credits)
- Student-Led Individually Created Course (20 credits) plus 40 credits of elective courses.

Further information on each course is available via the links below.

There are no compulsory courses in this year of this programme.

Course options

Group A

Select exactly 60 credits in this group.

Dissertation (Data science for health and social care)

Select exactly 60 credits of the following courses
Dissertation (Data science for health and social care)
HEIN11053 60 credits
OR

Work-based placement (Data-Driven Innovation)

Select exactly 60 credits of the following courses
Work-based placement (Data-Driven Innovation)
HEIN11070 60 credits
OR

Student-Led Individually-Created Course (SLICC) - Health Sciences

Select exactly 20 credits of the following courses
Student-Led Individually-Created Course (SLICC) - Health Sciences
HEIN11097 20 credits
AND

DSHSC course electives Y3

Select exactly 40 credits of the following courses
Introduction to statistics in health and social care
HEIN11039 10 credits
Data visualisation: knowledge transfer
HEIN11040 10 credits
Managing and leading data-driven innovation
HEIN11042 10 credits
Digital technologies in health and social care
HEIN11043 10 credits
Data standards and core technologies in health and social care
HEIN11044 10 credits
User-driven service design in health and social care
HEIN11046 10 credits
Data security and protection in health and social care
HEIN11047 10 credits
Introduction to databases and information systems
HEIN11048 10 credits
Implementation science: putting evidence-based interventions into practice
HEIN11056 10 credits
Data Ethics in Health and Social Care
HEIN11059 10 credits
Applied Software Development in Health and Social Care
HEIN11062 10 credits
Intermediate R Programming for Data Science
HEIN11067 10 credits
Data Types and Structures in Python and R
HEIN11068 10 credits
Systems Thinking in Health and Social Care
HEIN11080 10 credits
AI for Care in the Digital Age
HEIN11083 10 credits
Delivering person-centred care in a digital age for remote and rural areas
HEIN11084 10 credits
Natural Language Processing (NLP) in Health and Social Care
HEIN11085 10 credits
Foundations of Machine Learning for Health and Social Care
HEIN11098 10 credits
The use and evolution of digital data analysis and collection tools
PGSP11388 10 credits
Engaging with Digital Research
PGSP11401 10 credits
Statistical Modelling for Epidemiology
PUHR11064 10 credits
Systematic Reviews
PUHR11069 10 credits
Qualitative interviewing and data analysis for public health
PUHR11088 10 credits
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