THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2022/2023

Timetable information in the Course Catalogue may be subject to change.
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Degree Programme Table: Data Science, Technology and Innovation (ICL) (PgCert) - 2 Years (PTPGCDSTIN2U)

Jump to: Year 1, Year 2

Year 1 Academic year: 2022/23, Starting in: September

Notes:
A total of 60 credits (the compulsory course worth 20 credits plus 40 credits from the Course Options) must be successfully taken to achieve PG Certificate. The compulsory course may be taken in either year 1 or 2 of the programme. The Course Options consist of courses from the list below

These courses are limited to students registered on the programme.
We recommend that students take no more than 60 credits in any one year.

Compulsory courses

You must take these courses
Practical Introduction to Data Science
INFD11010 20 credits

Course options

Data Science, Technology and Innovation 2

Select between 0 and 40 credits of the following courses
Leading Technology and Innovation in Organisations
CMSE11495 10 credits
Innovation-driven Entrepreneurship-Data Science, Technology and Innovation
CMSE11515 10 credits
Data security and protection in health and social care
HEIN11047 10 credits
Working with data types and structures in Python and R
HEIN11050 10 credits
Data Ethics in Health and Social Care
HEIN11059 10 credits
Health Data Science
HEIN11060 10 credits
Introduction to Practical Programming with Objects
INFD11001 10 credits
Introductory Applied Machine Learning
INFD11005 20 credits
Natural Computing
INFD11007 10 credits
Practical Introduction to High Performance Computing
INFD11009 20 credits
Message Passing Programming
INFD11011 10 credits
Threaded Programming
INFD11012 10 credits
Programming Skills
INFD11016 10 credits
Software Development
INFD11017 10 credits
Probability and Statistics
MATH11204 10 credits
Neuroimaging: Common Image Processing Techniques 1
NEME11006 20 credits
Neuroimaging: Image Analysis
NEME11035 10 credits
Neuroimaging: Common Image Processing Techniques 2
NEME11037 10 credits
Practical Image Analysis 1
NEME11054 10 credits
Practical Image Analysis 2
NEME11055 10 credits
Introduction to Python Programming for Data Science
PGBI11123 10 credits
Technologies of Civic Participation
PGSP11390 10 credits
Managing Digital Influence
PGSP11391 10 credits
Understanding Data Visualisation
PGSP11484 20 credits

Year 2 Academic year: 2022/23, Starting in: September

Notes:
A total of 60 credits (the compulsory course worth 20 credits plus 40 credits from the Course Options) must be successfully taken to achieve PG Certificate. The compulsory course may be taken in either year 1 or 2 of the programme. The Course Options consist of courses in the list below.

These courses are limited to students registered on the programme.
We recommend that students take no more than 60 credits in any one year.

Compulsory courses

You must take these courses
Practical Introduction to Data Science
INFD11010 20 credits

Course options

Data Science, Technology and Innovation 2

Select between 0 and 40 credits of the following courses
Leading Technology and Innovation in Organisations
CMSE11495 10 credits
Innovation-driven Entrepreneurship-Data Science, Technology and Innovation
CMSE11515 10 credits
Data security and protection in health and social care
HEIN11047 10 credits
Working with data types and structures in Python and R
HEIN11050 10 credits
Data Ethics in Health and Social Care
HEIN11059 10 credits
Health Data Science
HEIN11060 10 credits
Introduction to Practical Programming with Objects
INFD11001 10 credits
Introductory Applied Machine Learning
INFD11005 20 credits
Natural Computing
INFD11007 10 credits
Practical Introduction to High Performance Computing
INFD11009 20 credits
Message Passing Programming
INFD11011 10 credits
Threaded Programming
INFD11012 10 credits
Programming Skills
INFD11016 10 credits
Software Development
INFD11017 10 credits
Probability and Statistics
MATH11204 10 credits
Neuroimaging: Common Image Processing Techniques 1
NEME11006 20 credits
Neuroimaging: Image Analysis
NEME11035 10 credits
Neuroimaging: Common Image Processing Techniques 2
NEME11037 10 credits
Practical Image Analysis 1
NEME11054 10 credits
Practical Image Analysis 2
NEME11055 10 credits
Introduction to Python Programming for Data Science
PGBI11123 10 credits
Technologies of Civic Participation
PGSP11390 10 credits
Managing Digital Influence
PGSP11391 10 credits
Understanding Data Visualisation
PGSP11484 20 credits
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