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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2018/2019
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DRPS : DPTs :  School of Informatics DPTs

Degree Programme Table: Cognitive Science (MSc) (Part-time) - 3 Years (PTMSCINFEM1P)

Jump to: Year 1, Year 2, Year 3

Year 1 Academic year: 2018/19, Starting in: September

Notes:
PLEASE NOTE: THIS DEGREE WILL BE CHANGING FOR 2019 ENTRY, TO PROVIDE A MORE FOCUSSED SET OF COURSE OPTIONS.
PLEASE SEE THE ON-LINE DEGREE FINDER FOR INFORMATION ABOUT THE NEW DEGREE STRUCTURE AND FOCUS.
The programme table for the new degree will be published in April 2019.

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

During the first two years of this programme:
1) students are required to take a minimum of 30 credits of Cognitive Science courses;
2) Students are permitted to take a maximum of 30 credits of courses that are below level 11 or not individually listed below.

Compulsory courses

You must take these courses
Informatics Research Review
INFR11136 10 credits

Course options

Group A

Select exactly 50 credits in this group.

Informatics MSc CG Courses

Select between 0 and 50 credits of the following courses
Notes:
These are Cognitive Science courses at level 11 open to taught postgraduate students.
Bioinformatics 2
INFR11005 10 credits
Data Mining and Exploration
INFR11007 10 credits
Reinforcement Learning
INFR11010 10 credits
Human-Computer Interaction (Level 11)
INFR11017 10 credits
Computer Graphics (Level 11)
INFR11021 10 credits
Advanced Vision (Level 11)
INFR11031 10 credits
Automatic Speech Recognition
INFR11033 10 credits
Neural Information Processing
INFR11035 10 credits
Computational Cognitive Neuroscience
INFR11036 10 credits
Adaptive Learning Environments 1 (Level 11)
INFR11069 10 credits
Topics in Natural Language Processing
INFR11113 10 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
Natural Language Understanding, Generation, and Machine Translation
INFR11157 20 credits
Usable Security and Privacy
INFR11158 10 credits
Bioinformatics 1
INFR11160 10 credits
Neural Computation
INFR11162 10 credits
Artificial Intelligence, Present and Future
INFR11180 10 credits
Robot Learning and Sensorimotor Control
INFR11186 10 credits
AND

Informatics MSc Non-CG Courses

Select between 0 and 50 credits of the following courses
Notes:
These are other level 11 courses open to taught postgraduate students.
Advanced Databases (Level 11)
INFR11011 10 credits
Algorithmic Game Theory and its Applications
INFR11020 10 credits
Distributed Systems (Level 11)
INFR11022 10 credits
Parallel Programming Languages and Systems (Level 11)
INFR11023 10 credits
Parallel Architectures (Level 11)
INFR11024 10 credits
Compiler Optimisation (Level 11)
INFR11032 10 credits
Software Architecture, Process, and Management (Level 11)
INFR11038 10 credits
Computer Networking (Level 11)
INFR11049 10 credits
Music Informatics
INFR11079 10 credits
Performance Modelling (Level 11)
INFR11082 10 credits
Extreme Computing
INFR11088 10 credits
Randomness and Computation
INFR11089 10 credits
Robotics: Science and Systems
INFR11092 20 credits
Secure Programming
INFR11098 10 credits
Introduction to Quantum Computing
INFR11099 10 credits
Advances in Programming Languages
INFR11101 10 credits
Computational Complexity
INFR11102 10 credits
Computer Algebra
INFR11111 10 credits
Types and Semantics for Programming Languages
INFR11114 10 credits
Advanced Topics in Foundations of Databases
INFR11122 20 credits
Social and Technological Networks
INFR11124 10 credits
Categories and Quantum Informatics
INFR11128 10 credits
Formal Verification
INFR11129 10 credits
Introduction to Modern Cryptography
INFR11131 10 credits
The Human Factor: Working with Users
INFR11141 10 credits
Blockchains and Distributed Ledgers
INFR11144 10 credits
Text Technologies for Data Science
INFR11145 20 credits
Internet of Things Systems, Security, and the Cloud (IoTSSC)
INFR11146 20 credits
Principles and Design of IoT Systems
INFR11150 20 credits
Algorithmic Foundations of Data Science
INFR11156 10 credits
Natural Computing
INFR11161 10 credits
Introductory Applied Machine Learning
INFR11182 20 credits
AND

Level 9, 10 and 11 courses in Schedules A to Q, T and W

Select between 0 and 20 credits from Level 9, 10 and 11 courses in Schedules A to Q, T and W
Notes:
These are courses in all schools other than Medicine or Veterinary Studies. Note this includes courses within the School of Informatics.
AND

Level 9 and 10 courses in the School of Informatics

Select between 0 and 10 credits from Level 9 and 10 courses in the School of Informatics
Notes:
These are courses in the School of Informatics.
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 or Veterinary Studies. Note this includes courses within the School of Informatics.

Year 2 Academic year: 2018/19, Starting in: September

Notes:
PLEASE NOTE: THIS DEGREE WILL BE CHANGING FOR 2019 ENTRY, TO PROVIDE A MORE FOCUSSED SET OF COURSE OPTIONS.
PLEASE SEE THE ON-LINE DEGREE FINDER FOR INFORMATION ABOUT THE NEW DEGREE STRUCTURE AND FOCUS.
The programme table for the new degree will be published in April 2019.

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

During the first two years of this programme:
1) students are required to take a minimum of 30 credits of Cognitive Science courses;
2) Students are permitted to take a maximum of 30 credits of courses that are below level 11 or not individually listed below.

Compulsory courses

You must take these courses
Informatics Project Proposal
INFR11147 10 credits

Course options

Group A

Select exactly 50 credits in this group.

Informatics MSc CG Courses

Select between 0 and 50 credits of the following courses
Notes:
These are Cognitive Science courses at level 11 open to taught postgraduate students.
Bioinformatics 2
INFR11005 10 credits
Data Mining and Exploration
INFR11007 10 credits
Reinforcement Learning
INFR11010 10 credits
Human-Computer Interaction (Level 11)
INFR11017 10 credits
Computer Graphics (Level 11)
INFR11021 10 credits
Advanced Vision (Level 11)
INFR11031 10 credits
Automatic Speech Recognition
INFR11033 10 credits
Neural Information Processing
INFR11035 10 credits
Computational Cognitive Neuroscience
INFR11036 10 credits
Adaptive Learning Environments 1 (Level 11)
INFR11069 10 credits
Topics in Natural Language Processing
INFR11113 10 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
Natural Language Understanding, Generation, and Machine Translation
INFR11157 20 credits
Usable Security and Privacy
INFR11158 10 credits
Bioinformatics 1
INFR11160 10 credits
Neural Computation
INFR11162 10 credits
Artificial Intelligence, Present and Future
INFR11180 10 credits
Robot Learning and Sensorimotor Control
INFR11186 10 credits
AND

Informatics MSc Non-CG Courses

Select between 0 and 50 credits of the following courses
Notes:
These are other level 11 courses open to taught postgraduate students.
Advanced Databases (Level 11)
INFR11011 10 credits
Algorithmic Game Theory and its Applications
INFR11020 10 credits
Distributed Systems (Level 11)
INFR11022 10 credits
Parallel Programming Languages and Systems (Level 11)
INFR11023 10 credits
Parallel Architectures (Level 11)
INFR11024 10 credits
Compiler Optimisation (Level 11)
INFR11032 10 credits
Software Architecture, Process, and Management (Level 11)
INFR11038 10 credits
Computer Networking (Level 11)
INFR11049 10 credits
Music Informatics
INFR11079 10 credits
Performance Modelling (Level 11)
INFR11082 10 credits
Extreme Computing
INFR11088 10 credits
Randomness and Computation
INFR11089 10 credits
Robotics: Science and Systems
INFR11092 20 credits
Secure Programming
INFR11098 10 credits
Introduction to Quantum Computing
INFR11099 10 credits
Advances in Programming Languages
INFR11101 10 credits
Computational Complexity
INFR11102 10 credits
Computer Algebra
INFR11111 10 credits
Types and Semantics for Programming Languages
INFR11114 10 credits
Advanced Topics in Foundations of Databases
INFR11122 20 credits
Social and Technological Networks
INFR11124 10 credits
Categories and Quantum Informatics
INFR11128 10 credits
Formal Verification
INFR11129 10 credits
Introduction to Modern Cryptography
INFR11131 10 credits
The Human Factor: Working with Users
INFR11141 10 credits
Blockchains and Distributed Ledgers
INFR11144 10 credits
Text Technologies for Data Science
INFR11145 20 credits
Internet of Things Systems, Security, and the Cloud (IoTSSC)
INFR11146 20 credits
Principles and Design of IoT Systems
INFR11150 20 credits
Algorithmic Foundations of Data Science
INFR11156 10 credits
Natural Computing
INFR11161 10 credits
Introductory Applied Machine Learning
INFR11182 20 credits
AND

Level 9, 10 and 11 courses in Schedules A to Q, T and W

Select between 0 and 20 credits from Level 9, 10 and 11 courses in Schedules A to Q, T and W
Notes:
These are courses in all schools other than Medicine or Veterinary Studies. Note this includes courses within the School of Informatics.
AND

Level 9 and 10 courses in the School of Informatics

Select between 0 and 10 credits from Level 9 and 10 courses in the School of Informatics
Notes:
These are courses in the School of Informatics.
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 or Veterinary Studies. Note this includes courses within the School of Informatics.

Year 3 Academic year: 2018/19, Starting in: September

Notes:
PLEASE NOTE: THIS DEGREE WILL BE CHANGING FOR 2019 ENTRY, TO PROVIDE A MORE FOCUSSED SET OF COURSE OPTIONS.
PLEASE SEE THE ON-LINE DEGREE FINDER FOR INFORMATION ABOUT THE NEW DEGREE STRUCTURE AND FOCUS.
The programme table for the new degree will be published in April 2019.

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)
INFR11077 60 credits
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