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Department of Computer Science Course Catalogue 2025/26


USCM-AKM31: MComp(Hons) Computer Science and Artificial Intelligence with professional placement or study abroad

Route: MComp(Hons) Computer Science and Artificial Intelligence with professional 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:
 USCM-AKB31: BSc(Hons) Computer Science and Artificial Intelligence with professional placement or study abroad is the designated alternative course (DAC).

Transfer to DAC is possible in years 1 or 2 if co-existent master's progression threshold is not met.

USCM-AFM31: MComp(Hons) Computer Science and Artificial Intelligence is the designated alternative course (DAC).

Transfer to this DAC only possible from year 4 (placement/study year).

Exit awards:

BSc(Hons) Computer Science and Artificial Intelligence with professional placement or study abroad. Overall course average: weighted stage 1 0%, stage 2 32%, stage 3 0%, final stage 68%

Diploma of Higher Education

Certificate of Higher Education

In exceptional circumstances a student may transfer from the fourth year of MComp(Hons) Computer Science and Artificial Intelligence with professional placement or study abroad (i.e. the placement year) to BSc(Hons) Computer Science and Artificial Intelligence with professional placement or study abroad. This would make the placement year the final year of the course. Students wishing to take up this opportunity must discuss it with their Director of Studies by the end of January of the year in which they wish to graduate (the year they are undertaking the placement/study abroad.
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


Jump to:

Year 1

Academic Year: Stage 1

Compulsory Units:
Unit Code
Title
ECTS Credits
CM12001 Artificial intelligence 1 10 Credits
CM12002 Computer systems architectures 10 Credits

Semester 1: Stage 1

Must Pass Units:
Unit Code
Title
ECTS Credits
CM12003 Programming 1 10 Credits
Compulsory Units:
Unit Code
Title
ECTS Credits
CM12004 Discrete mathematics and databases 10 Credits

Semester 2: Stage 1

Must Pass Units:
Unit Code
Title
ECTS Credits
CM12005 Programming 2 10 Credits
Compulsory Units:
Unit Code
Title
ECTS Credits
CM12006 Mathematics for computation 10 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 2

Academic Year: Stage 2

Compulsory Units:
Unit Code
Title
ECTS Credits
CM22007 Software engineering 10 Credits
CM22008 Algorithms and complexity 10 Credits
CM22009 Machine learning 10 Credits
CM22010 Visual computing 10 Credits

Semester 1: Stage 2

Compulsory Units:
Unit Code
Title
ECTS Credits
CM22011 Human-computer interaction 1 5 Credits
CM22015 Artificial intelligence 2 5 Credits

Semester 2: Stage 2

Compulsory Units:
Unit Code
Title
ECTS Credits
CM22016 Foundations and frontiers of machine learning 10 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 3

Students must select options totalling 40 credits, including at least 20 credits of AI options, with an even split between semesters. 10 credit AY units are treated as being 5 credits per semester.

Academic Year: Stage 3

Must Pass Units:
Unit Code
Title
ECTS Credits
CM32017 Individual project 20 Credits
Optional Units: Select a minimum of 2 and a maximum of 4 units from the following list:
AI options
Unit Code
Title
ECTS Credits
CM32022 Advanced computer vision 10 Credits
CM32024 Bayesian machine learning 10 Credits
CM32030 Natural language processing 10 Credits
CM32032 Reinforcement learning 10 Credits
Optional Units: Select a minimum of 0 and a maximum of 2 units from the following list:
Unit Code
Title
ECTS Credits
CM32021 Advanced computer graphics 10 Credits
CM32023 Advanced human-computer interaction 10 Credits
CM32027 Entrepreneurship 10 Credits

Semester 1: Stage 3

Optional Units: Select a minimum of 0 and a maximum of 2 units from the following list:
Unit Code
Title
ECTS Credits
CM32025 Computational complexity 5 Credits
MN22156 Digital business innovation 5 Credits

Semester 2: Stage 3

Optional Units: Select a minimum of 0 and a maximum of 3 units from the following list:
Unit Code
Title
ECTS Credits
CM22014 Cybersecurity 5 Credits
CM32029 Logic and semantics 5 Credits
MN32184 Business strategy 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.


Year 5

Academic Year: Final Stage

Must Pass Units:
Unit Code
Title
ECTS Credits
CM52018 Research project 40 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.