THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2023/2024

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: 2023/24, 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 Qualitative Research Methods
GLHE11017 10 credits
Introduction to statistics in health and social care
HEIN11039 10 credits
Data visualisation: knowledge transfer
HEIN11040 10 credits
Health and social care delivery and organisation
HEIN11041 10 credits
Managing and leading data-driven innovation
HEIN11042 10 credits
Digital technologies in health and social care
HEIN11043 10 credits
Data security and protection in health and social care
HEIN11047 10 credits
Managing and leading data-driven innovation (work based)
HEIN11058 10 credits
Data Ethics in Health and Social Care
HEIN11059 10 credits
Health Data Science
HEIN11060 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
Statistical Modelling for Epidemiology
PUHR11064 10 credits
Intermediate Epidemiology
PUHR11067 10 credits
Data analysis with R
PUHR11103 10 credits

Year 2 Academic year: 2023/24, 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
Research design in data science for health and social care
HEIN11057 20 credits

Course options

DSHSC course electives Y2-Y3

Select exactly 40 credits of the following courses
Text Mining for Social Research (fusion online)
EFIE11005 10 credits
Managing and leading data-driven innovation
HEIN11042 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
Entrepreneurship and data-driven innovation
HEIN11049 10 credits
Systems thinking
HEIN11054 10 credits
Big data analytics
HEIN11055 10 credits
Implementation science: putting evidence-based interventions into practice
HEIN11056 10 credits
Managing and leading data-driven innovation (work based)
HEIN11058 10 credits
Health Data Science
HEIN11060 10 credits
Applied Software Development in Health and Social Care
HEIN11062 10 credits
Intermediate Statistics for Health and Social Care
HEIN11065 10 credits
Intermediate R Programming for Data Science
HEIN11067 10 credits
Introductory Applied Machine Learning
INFD11005 20 credits
Software Development
INFD11017 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

Year 3 Academic year: 2023/24, 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

Data-Driven Innovation (Student-Led Individually-Created Course)

Select exactly 20 credits of the following courses
Data-Driven Innovation (Student-Led Individually-Created Course)
HEIN11071 20 credits
AND

DSHSC course electives Y2-Y3

Select exactly 40 credits of the following courses
Text Mining for Social Research (fusion online)
EFIE11005 10 credits
Managing and leading data-driven innovation
HEIN11042 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
Entrepreneurship and data-driven innovation
HEIN11049 10 credits
Systems thinking
HEIN11054 10 credits
Big data analytics
HEIN11055 10 credits
Implementation science: putting evidence-based interventions into practice
HEIN11056 10 credits
Managing and leading data-driven innovation (work based)
HEIN11058 10 credits
Health Data Science
HEIN11060 10 credits
Applied Software Development in Health and Social Care
HEIN11062 10 credits
Intermediate Statistics for Health and Social Care
HEIN11065 10 credits
Intermediate R Programming for Data Science
HEIN11067 10 credits
Introductory Applied Machine Learning
INFD11005 20 credits
Software Development
INFD11017 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
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