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Department of Computer Science Course Catalogue 2025/26


USCM-AKM27: MComp(Hons) Computer Science and Artificial Intelligence

Route: MComp(Hons) Computer Science and Artificial Intelligence with Year long work placement


Leading to the award of MASTER OF COMPUTING IN COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE


Mode of Attendance: Full-time with Thick Sandwich Placement


Normal course duration: 5 Years

[Page last updated: 28 April 2025]


Key Information
Applicable assessment regulations:
 Undergraduate assessment regulations - /publications/undergraduate-assessment-regulations/
Approved exemptions:
 None
Coexistent Masters course?:
 Yes
DACS and exit awards:
 BSc(Hons) Computer Science and Artificial Intelligence
Diploma of Higher Education [exit award]
Certificate of Higher Education [exit award]
Transfer to DAP possible from study years as follows: Year 1: No; Year 2: No; Year 3: No; Year 4: No;
Weighting towards final award by stage:
 Stage 1: 0%
Stage 2: 16%
Stage 3: 34%
Stage 4: 0%
Final Stage: 50%

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


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Notes:

  • 好色tv and units may be changed in accordance with normal University procedures.
  • This course catalogue is applicable for all years of study for the 2025/26 academic year only. Students continuing their studies into 2026/27 and beyond should not assume that this programme, or its component units, will be delivered in future years in the format displayed here.
  • Assessment regulations are subject to review and update. Links given here will provide access to the latest versions of documentation. The regulations described in this documentation may not necessarily be those which applied in previous academic years. For detailed information on how assessment regulations were applied to this course 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.


Year 4

Academic Year: Stage 4

Compulsory Units:
Unit Code
Title
ECTS Credits
CM20105 Industrial placement 60 Credits

Notes:

  • 好色tv and units may be changed in accordance with normal University procedures.
  • This course catalogue is applicable for all years of study for the 2025/26 academic year only. Students continuing their studies into 2026/27 and beyond should not assume that this programme, or its component units, will be delivered in future years in the format displayed here.
  • Assessment regulations are subject to review and update. Links given here will provide access to the latest versions of documentation. The regulations described in this documentation may not necessarily be those which applied in previous academic years. For detailed information on how assessment regulations were applied to this course 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.


Year 5

Students need to choose 20 credits of options, including at least 10 credits of AI options. They also need to choose an equal number of credits per semester - 10 credit AY units are treated as having 5 credits per semester.

Academic Year: Final Stage

Must Pass Units:
Unit Code
Title
ECTS Credits
CM52018 Research project 40 Credits
Optional Units: Select a minimum of 0 and a maximum of 1 units from the following list:
Unit Code
Title
ECTS Credits
CM52034 Advanced computer graphics 10 Credits
CM52036 Advanced human-computer interaction 10 Credits
CM52040 Entrepreneurship 10 Credits
CM52045 Reading module in human-computer Interaction 10 Credits
CM52046 Reading module in mathematical foundations 10 Credits
CM52047 Reading module in visual computing 10 Credits
Optional Units: Select a minimum of 1 and a maximum of 2 units from the following list:
AI options
Unit Code
Title
ECTS Credits
CM52035 Advanced computer vision 10 Credits
CM52037 Bayesian machine learning 10 Credits
CM52042 Natural language processing 10 Credits
CM52044 Reading module in artificial Intelligence and machine learning 10 Credits
CM52048 Reinforcement learning 10 Credits

Semester 1: Final Stage

Optional Units: Select a minimum of 0 and a maximum of 1 units from the following list:
Unit Code
Title
ECTS Credits
CM52038 Computational complexity 5 Credits

Semester 2: Final Stage

Optional Units: Select a minimum of 0 and a maximum of 1 units from the following list:
Unit Code
Title
ECTS Credits
CM52041 Logic and semantics 5 Credits

Notes:

  • 好色tv and units may be changed in accordance with normal University procedures.
  • This course catalogue is applicable for all years of study for the 2025/26 academic year only. Students continuing their studies into 2026/27 and beyond should not assume that this programme, or its component units, will be delivered in future years in the format displayed here.
  • Assessment regulations are subject to review and update. Links given here will provide access to the latest versions of documentation. The regulations described in this documentation may not necessarily be those which applied in previous academic years. For detailed information on how assessment regulations were applied to this course 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.