THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2025/2026

Timetable information in the Course Catalogue may be subject to change.
University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : DPTs :  School of Informatics DPTs

Degree Programme Table: Cognitive Science (MSc) (Full-time) (PTMSCCOGSC1F)

Jump to: Year 1

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

Notes:
Before making your course choices make sure you have discussed them with your Student Adviser, or someone in your Student Support Team.

Compulsory courses

You must take these courses
Computational Cognitive Science
INFR10054 10 credits
Seminar in Cognitive Modelling
INFR11210 20 credits
Informatics Project Proposal 20
INFR11291 20 credits

Course options

Group A

Select exactly 60 credits in this group.

Informatics MSc CG - Dissertation courses

Select exactly 60 credits of the following courses
Notes:
Students should only select Dissertation in Linguistics LASC11135 or Dissertation in Psychology PSYL11034 if their MSc dissertation is supervised by a member of staff in Linguistics or Psychology, respectively.
MSc Dissertation (Informatics)
INFR11077 60 credits
Dissertation in Linguistics
LASC11135 60 credits
Dissertation in Psychology
PSYL11034 60 credits
AND

Group B

Select exactly 70 credits in this group.

Informatics MSc CG Courses

Select between 20 and 70 credits of the following courses
Notes:
These are Cognitive Science courses at level 11 open to taught postgraduate students.
Human-Computer Interaction (Level 11)
INFR11017 10 credits
Automatic Speech Recognition
INFR11033 10 credits
Computational Cognitive Neuroscience
INFR11036 10 credits
Case Studies in Design Informatics 1
INFR11094 20 credits
Accelerated Natural Language Processing
INFR11125 20 credits
The Human Factor: Working with Users
INFR11141 10 credits
Computational Neuroscience
INFR11209 10 credits
Speech Synthesis
LASC11062 10 credits
Speech Processing
LASC11158 20 credits
AND

Informatics and PPLS MSc Programming Courses

Select between 0 and 10 credits of the following courses
Notes:
These are programming courses at Level 11 open to taught postgraduate students. Note that enrolment in some of these courses may be subject to quotas.
Programming Skills
EPCC11017 10 credits
Computer Programming for Speech and Language Processing
LASC11096 10 credits
AND

Informatics MSc AIA Courses

Select between 0 and 50 credits of the following courses
Notes:
These are AI Applications and Paradigms courses at Level 11 open to taught postgraduate students.
Computational Cognitive Science
INFR10054 10 credits
Algorithmic Game Theory and its Applications
INFR11020 10 credits
Distributed Systems (Level 11)
INFR11022 10 credits
Automatic Speech Recognition
INFR11033 10 credits
Computational Cognitive Neuroscience
INFR11036 10 credits
Accelerated Natural Language Processing
INFR11125 20 credits
Text Technologies for Data Science
INFR11145 20 credits
Case Studies in AI Ethics (CSAI)
INFR11206 10 credits
Computer Vision
INFR11212 20 credits
Computer Graphics: Geometry and Simulation
INFR11241 10 credits
Computer Graphics: Rendering
INFR11246 10 credits
Programming for Biomedical Informatics
INFR11260 10 credits
AND

Informatics MSc Non-AI Courses

Select between 0 and 20 credits of the following courses
Notes:
These are other level 11 Informatics courses open to postgraduate students.
Human-Computer Interaction (Level 11)
INFR11017 10 credits
Parallel Programming Languages and Systems (Level 11)
INFR11023 10 credits
Case Studies in Design Informatics 1
INFR11094 20 credits
Introduction to Modern Cryptography
INFR11131 10 credits
Blockchains and Distributed Ledgers
INFR11144 10 credits
Principles and Design of IoT Systems
INFR11150 20 credits
Usable Security and Privacy
INFR11158 10 credits
Quantum Cyber Security
INFR11187 10 credits
Advanced Database Systems
INFR11199 20 credits
Introduction to Quantum Programming and Semantics
INFR11242 10 credits
Applied Cloud Programming
INFR11245 10 credits
Modelling Concurrent Systems (Level 11)
INFR11248 10 credits
Simulation, Analysis, and Validation of Computational Models
INFR11254 10 credits
Programming for Data Science at Scale
INFR11255 10 credits
Machine Learning Systems
INFR11269 20 credits
AND

Informatics MSc ML Courses

Select between 0 and 40 credits of the following courses
Notes:
These are Machine Learning Foundations and Methods courses at Level 11 open to taught postgraduate students.
Machine Learning Practical
INFR11132 20 credits
Methods for Causal Inference
INFR11207 10 credits
Applied Machine Learning
INFR11211 20 credits
Robot and Reinforcement Learning
INFR11285 20 credits
AND

Level 10 courses in Schedules O and P

Select between 0 and 20 credits from Level 10 courses in Schedules O and P
Notes:
These are Informatics and Maths courses at level 10 open to postgraduate students.
AND

Level 11 courses in the School of Philosophy, Psychology and Language Sciences

Select between 0 and 30 credits from Level 11 courses in the School of Philosophy, Psychology and Language Sciences
Notes:
These are level 11 PPLS courses that are open to postgraduate students. See the MSc Handbook for suggested options for MSc in Cognitive Science.
General Disclaimer
Privacy & cookies
© Copyright 2025 The University of Edinburgh - 29 April 2025 8:15 pm