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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Jump to: Year 1, Year 2, Year 3

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

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

If you need any academic advice about your course choices, please email your Programme Director, Dr Adam Carter: 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

Course options

DST (PT) options - Year 1

Select exactly 20 credits of the following courses
Notes:
You are recommended to balance your credits evenly across each semester.

Year 2 Academic year: 2025/26, Starting in: September

Notes:
If you need any academic advice about your course choices, please email your Programme Director, Dr Adam Carter: 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

Course options

Group A

Select exactly 40 credits in this group.

Informatics Project Proposal 20 (Distance Learning)

Select exactly 20 credits of the following courses
AND

DST (PT) options - Year 2

Select exactly 20 credits of the following courses
Notes:
You are recommended to balance your credits evenly across each semester.
OR

Group B

Select exactly 40 credits in this group.

Project Preparation (DSTI)

Select exactly 10 credits of the following courses
AND

DST (PT) options - Year 2

Select exactly 30 credits of the following courses
Notes:
You are recommended to balance your credits evenly across each semester.

Year 3 Academic year: 2025/26, Starting in: September

Notes:
If you took Informatics Project Proposal in Year 2, you must enrol on INFD11003 Data Science, Technology and Innovation; if you took EPCD11014 Project Preparation (DSTI) in Year 2, you must enrol on EPCD11019 Dissertation (DSTI - EPCC).

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

Course options

Data Science, Technology and Innovation Dissertation

Select exactly 60 credits of the following courses
OR

Dissertation (DSTI - EPCC)

Select exactly 60 credits of the following courses

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