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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2021/2022

Information in the Degree Programme Tables may still be subject to change in response to Covid-19
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Degree Programme Table: Artificial Intelligence (MSc) (Full-time) (PTMSCAINTL1F)

Jump to: Year 1

Year 1 Academic year: 2021/22, Starting in: September

Notes:
Before making your course choices, make sure you have discussed them with your Personal Tutor.

Compulsory courses

You must take these courses
MSc Dissertation (Informatics)

Must be passed at 50%

INFR11077 60 credits
Informatics Research Review
INFR11136 10 credits
Informatics Project Proposal
INFR11147 10 credits

Course options

Group A

Select exactly 100 credits in this group.

Informatics MSc AI and Cognitive Science Courses

Select between 60 and 100 credits of the following courses
Notes:
These are AI courses and Cognitive Science courses open to taught postgraduate students.
Computational Cognitive Science
INFR10054 10 credits
Reinforcement Learning
INFR11010 10 credits
Human-Computer Interaction (Level 11)
INFR11017 10 credits
Algorithmic Game Theory and its Applications
INFR11020 10 credits
Computer Graphics (Level 11)
INFR11021 10 credits
Advanced Vision (Level 11)
INFR11031 10 credits
Automatic Speech Recognition
INFR11033 10 credits
Computational Cognitive Neuroscience
INFR11036 10 credits
Robotics: Science and Systems
INFR11092 20 credits
Case Studies in Design Informatics 1
INFR11094 20 credits
Accelerated Natural Language Processing
INFR11125 20 credits
Machine Learning and Pattern Recognition
INFR11130 20 credits
Machine Learning Practical
INFR11132 20 credits
Probabilistic Modelling and Reasoning
INFR11134 20 credits
Image and Vision Computing
INFR11140 10 credits
The Human Factor: Working with Users
INFR11141 10 credits
Text Technologies for Data Science
INFR11145 20 credits
Natural Language Understanding, Generation, and Machine Translation
INFR11157 20 credits
Bioinformatics 1
INFR11160 10 credits
Natural Computing
INFR11161 10 credits
Introductory Applied Machine Learning
INFR11182 20 credits
Machine Learning Theory
INFR11202 10 credits
Case Studies in AI Ethics (CSAI)
INFR11206 10 credits
Methods for Causal Inference
INFR11207 10 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
INFR11177 10 credits
Introduction to Practical Programming with Objects
INFR11189 10 credits
Computer Programming for Speech and Language Processing
LASC11096 10 credits
AND

Informatics MSc non-AI Foundations, Systems and Software Courses

Select between 0 and 40 credits of the following courses
Notes:
These are other level 11 courses open to taught postgraduate students.
Parallel Programming Languages and Systems (Level 11)
INFR11023 10 credits
Parallel Architectures (Level 11)
INFR11024 10 credits
Extreme Computing
INFR11088 10 credits
Secure Programming
INFR11098 10 credits
Introduction to Quantum Computing
INFR11099 10 credits
Categories and Quantum Informatics
INFR11128 10 credits
Formal Verification
INFR11129 10 credits
Introduction to Modern Cryptography
INFR11131 10 credits
Blockchains and Distributed Ledgers
INFR11144 10 credits
Principles and Design of IoT Systems
INFR11150 20 credits
Software Development
INFR11172 10 credits
Quantum Cyber Security
INFR11187 10 credits
Advanced Database Systems
INFR11199 20 credits
Security Engineering
INFR11208 10 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 Schedules A to Q, T and W

Select between 0 and 20 credits from Level 11 courses in Schedules A to Q, T and W
Notes:
These are courses in all schools other than Medicine, Veterinary Studies, or the Centre for Open Learning. Note this includes courses within the School of Informatics.

Students may not register for introductory programming courses in other parts of the University unless explicitly listed in the DPT
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