THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2026/2027
- ARCHIVE as at 1 September 2026

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 2

Year 2 Academic year: 2026/27, Starting in: September

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

Course options

Data Science, Technology and Innovation 2

Select between 0 and 60 credits of the following courses
Notes:
By the end of year 2 at the latest, students must complete the compulsory course worth 20 credits (EPCD11005 Practical Introduction to Data Science). This course may be taken in either year 1 or 2 of the programme.
Leading Technology and Innovation in Organisations
CMSE11495 10 credits
Innovation-driven Entrepreneurship-Data Science, Technology and Innovation
CMSE11515 10 credits
Operations Improvement
CMSE11597 10 credits
Business Transformation in the Digital Age
CMSE11602 10 credits
Data and Analytics for Leaders
CMSE11603 10 credits
Fintech Infrastructures and Innovation
CMSE11696 10 credits
AI and Theology (online)
DIVI11088 20 credits
Practical Introduction to High Performance Computing
EPCD11001 20 credits
Message-Passing Programming
EPCD11002 10 credits
Threaded Programming
EPCD11003 10 credits
Practical Introduction to Data Science
EPCD11005 20 credits
Software Development
EPCD11017 10 credits
Programming Skills
EPCD11018 10 credits
Data Ethics in Health and Social Care
HEIN11059 10 credits
Data Types and Structures in Python and R
HEIN11068 10 credits
AI for Care in the Digital Age
HEIN11083 10 credits
Applied Machine Learning
INFD11032 20 credits
Introductory Probability and Statistics
MATH11203 10 credits
Introduction to Python Programming for Data Science
PGBI11123 10 credits
Introduction to Bioinformatics
PGBI11137 10 credits
Understanding Data Visualisation
PGSP11484 20 credits
AND

Level 11 courses in Schedules A to W and Y

Select between 0 and 20 credits from Level 11 courses in Schedules A to W and Y
Notes:
Before requesting to take one of these courses, please ensure that the delivery mode is online.

Courses must be delivered online and agreed with the Programme Director, as well as the Course Organiser, prior to course enrolment. The number of additional online courses is limited. Please email the Programme Team at Bayes.StudentServices@ed.ac.uk if you have found an outside course you are interested in taking.
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