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, Technology and Innovation (MSc) (PTMSCDSTHN1F)

Jump to: Year 1

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

Notes:
Students are required to complete 120 taught credits (a 10 credit dissertation preparation course should be included in the 120 taught credits). Please ensure you select 60 credits per semester. If you have any questions regarding this you can contact Bayes.StudentServices@ed.ac.uk

Compulsory courses

You must take these courses
Practical Introduction to Data Science
EPCD11005 20 credits
Introductory Probability and Statistics
MATH11203 10 credits

Course options

Compulsory Semester 1

Select exactly 10 credits of the following courses
Notes:
Students are required to take one of the below two courses
Programming Skills
EPCD11018 10 credits
Introduction to Python Programming for Data Science
PGBI11123 10 credits
AND

DSTI Semester 1 Course Options

Select between 10 and 40 credits of the following courses
Leading Technology and Innovation in Organisations
CMSE11495 10 credits
Practical Introduction to High Performance Computing
EPCD11001 20 credits
Software Development
EPCD11017 10 credits
Practical Image Analysis 1
NEME11054 10 credits
Technologies of Civic Participation
PGSP11390 10 credits
Engaging with Digital Research
PGSP11401 10 credits
AND

DSTI Semester 2 Course Options

Select between 10 and 40 credits of the following courses
Innovation-driven Entrepreneurship-Data Science, Technology and Innovation
CMSE11515 10 credits
Message-Passing Programming
EPCD11002 10 credits
Threaded Programming
EPCD11003 10 credits
Data Ethics in Health and Social Care
HEIN11059 10 credits
Applied Machine Learning (Distance Learning)
INFD11030 20 credits
Introduction to Bioinformatics
PGBI11137 10 credits
Data Science for Manufacturing (Bayes)
PGEE11234 10 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:
Over the course of your programme, you may take up to 20 credits of outside courses in place of the course options.

Please note this is completely optional and it is not a requirement to choose any outside courses.

Outside courses must be delivered online and agreed with the Programme Director, as well as the Course Organiser, prior to course enrolment. You cannot take any courses which start after semester two as outside courses (no courses which start after February). 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.
AND

Group A

Select exactly 70 credits in this group.

DSTI Social and Political Sciences dissertation

Select between 0 and 70 credits of the following courses
Notes:
Students on this programme have two options for a dissertation:
- The School of Informatics
or
- The School of Social and Political Sciences

As well as the 60 credit dissertation course both schools require students to take a 10 credit project preparation course prior to the 60 credit dissertation
Social Shaping of Digital Research
PGSP11389 10 credits
Dissertation (DSTI - SSPS)
PGSP11499 60 credits
OR

DSTI Informatics dissertation

Select between 0 and 70 credits of the following courses
Notes:
Students on this programme have two options for a dissertation:
- The School of Informatics
or
- The School of Social and Political Sciences

As well as the 60 credit dissertation course both schools require students to take a 10 credit project preparation course prior to the 60 credit dissertation
Data Science, Technology and Innovation Dissertation
INFD11003 60 credits
Informatics Project Proposal
INFD11014 10 credits
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