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: Applied Data Science (Online Learning) (MSc) - 1 Year (Full-time) (PTMSCAPDSE1F)

Jump to: Year 1

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

Notes:
This is the Degree Programme Table (DPT) for the full-time version of the Applied Data Science programme.

If you need any academic advice about your course choices, please email your Programme Director, Dr Morgan Currie: Bayes.PGTDirector@ed.ac.uk

If you have any questions about the requirements for your programme, please email your Student Adviser, Cat Andrade-Robertsen: Bayes.StudentServices@ed.ac.uk

Compulsory courses

You must take these courses
Practical Introduction to Data Science

Must be taken during Full Year

EPCD11005 20 credits
Introductory Probability and Statistics

Must be taken during Semester 1

MATH11203 10 credits
Introduction to Python Programming for Data Science

Must be taken during Semester 1

PGBI11123 10 credits
Social Shaping of Digital Research

Must be taken during Semester 2

PGSP11389 10 credits
Dissertation (DSTI - SSPS)

Must be taken during Block 5 (sem 2)

PGSP11499 60 credits
Introductory Mathematics with Applications

Must be taken during Semester 1

MATH07004 20 credits

Course options

Group A

Select exactly 50 credits in this group.

ADS Semester 1 options

Select exactly 10 credits of the following courses
Selected courses must be taken during Semester 1
Leading Technology and Innovation in Organisations
CMSE11495 10 credits
Software Development
EPCD11017 10 credits
Natural Language Processing (NLP) in Health and Social Care
HEIN11085 10 credits
The use and evolution of digital data analysis and collection tools
PGSP11388 10 credits
Technologies of Civic Participation
PGSP11390 10 credits
Engaging with Digital Research
PGSP11401 10 credits
AND

ADS Semester 2 options

Select exactly 40 credits of the following courses
Innovation-driven Entrepreneurship-Data Science, Technology and Innovation
CMSE11515 10 credits
Data Ethics in Health and Social Care
HEIN11059 10 credits
Applied Machine Learning
INFD11032 20 credits
Introduction to Bioinformatics
PGBI11137 10 credits
Data Science for Manufacturing (Bayes)
PGEE11234 10 credits
Understanding Data Visualisation
PGSP11484 20 credits
Data, Sport & Society
STIS11002 20 credits
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