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Department of Computer Science Programme Catalogue 2022/23


TSCM-AFM52: MSc Accountable, Responsible and Transparent Artificial Intelligence

Leading to the award of:


Mode of Attendance: Full-time

[Page last updated: 04 October 2022]


Assessment Regulations
Applicable assessment regulations:
 NFAAR-PG
Applicable NFAAR appendices:
 Appendix 11
Approved exemptions:
 None
DAPS and exit awards:
 TSCM-AFL51: PG Dip Accountable, Responsible and Transparent Artificial Intelligence
TSCM-AFC51: PG Cert Accountable, Responsible and Transparent Artificial Intelligence
Programme progression requirement:
 50
Total taught and dissertation/project credits:
 Taught credits: 60; Project credits: 30

Please consult your programme handbook or contact your Director of Studies for further information on assessment regulations


Year 1

This is a possible exit award for RSCM-AFM51: Integrated PhD in Accountable, Responsible and Transparent Artificial Intelligence

Semester 1: Taught Units

Further information on DoS approved options Director of Studies approved option allowed: Students may be permitted to take two Director of Studies approved units as alternatives to two of the optional units offered in this Semester
Compulsory Units:
Unit Code
Title
ECTS Credits
CM50272 Humans and intelligent machines 6 Credits
Optional Units: Select 1 unit from the following list:
Unit Code
Title
ECTS Credits
CM50341 Mathematics for artificial intelligence 6 Credits
XX50215 Statistics for data science 6 Credits
Optional Units: Select 1 unit from the following list:
Unit Code
Title
ECTS Credits
CM50258 Principles of programming 6 Credits
CM50264 Machine learning 1 6 Credits
Optional Units: Select 1 unit from the following list:
Unit Code
Title
ECTS Credits
EE50226 Embedded systems design 6 Credits
EE50235 Autonomous systems engineering 6 Credits
EE50236 Robotic platform engineering 6 Credits
EE50237 Robotics software 6 Credits
ME40051 Advanced control 6 Credits
ME40064 System modelling & simulation 6 Credits
ME40331 Robotics engineering 6 Credits
Optional Units: Select 1 unit from the following list:
Unit Code
Title
ECTS Credits
XX50170 Principles & skills of social research 6 Credits
XX50218 AQM 1 - Experimental and quasi-experimental quantitative methods for social science 6 Credits
SP50339 AI as social and political practice: technology, society & politics 6 Credits

Semester 2: Taught Units

Further information on DoS approved options Director of Studies approved option allowed: Students may be permitted to take two Director of Studies approved units as alternatives to two of the optional units offered in this Semester
Compulsory Units:
Unit Code
Title
ECTS Credits
CM50304 AI challenge 6 Credits
CM50306 Interdisciplinary research preparation 6 Credits
Optional Units: Select 1 unit from the following list:
Unit Code
Title
ECTS Credits
CM50263 Artificial intelligence 6 Credits
CM50265 Machine learning 2 6 Credits
CM50268 Bayesian machine learning 6 Credits
CM50270 Reinforcement learning 6 Credits
Optional Units: Select 1 unit from the following list:
Unit Code
Title
ECTS Credits
EE50229 Electronic communication systems 6 Credits
EE50238 Autonomous systems navigation, guidance and communications 6 Credits
Optional Units: Select 1 unit from the following list:
Unit Code
Title
ECTS Credits
XX50219 AQM 2 - Advanced modelling techniques for social sciences 6 Credits
SP50340 Knowledge, data, and our digital social world 6 Credits
 

Dissertation Period: Project/Dissertation Units

Optional Units: Select 1 unit from the following list:
Unit Code
Title
ECTS Credits
CM50170 Dissertation 30 Credits
EE50117 Individual project 30 Credits
SP50334 Dissertation 30 Credits

Notes:

  • Programmes and units may be changed in accordance with normal University procedures.
  • This programme catalogue is applicable for all years of study for the 2022/23 academic year only. Students continuing their studies into 2023/24 and beyond should not assume that this programme, or its component units, will be delivered in future years in the format displayed here.
  • NFAAR assessment regulations are subject to review and update. Links given here will provide access to the latest versions of NFAAR documentation. The regulations described in this documentation may not necessarily be those which applied in previous academic years. For detailed information on how the NFAAR was applied to this programme in previous academic years, please contact the relevant Director of Studies.
  • Availability of units is subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.