Department of Computer Science Programme Catalogue 2024/25
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: 25 October 2024]
This course is for students who will be in Year 3 or later in 2024/25
Please consult your course handbook or contact your Director of Studies for further information on assessment regulations
This course is being replaced Years 1 and 2 of this version of the course are not available in 2024/25. |
Notes: - Courses and units may be changed in accordance with normal University procedures.
- This course catalogue is applicable for all years of study for the 2024/25 academic year only. Students continuing their studies into 2025/26 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.
|
Academic Year: Stage 3
Designated Essential Units:
Unit Code | Title | |
CM30082 | Individual project | 24 Credits |
Semester 1: Stage 3
Optional Units: Select 1 unit from the following list:
Unit Code | Title | |
CM30075 | Advanced computer graphics | 6 Credits |
MA30087 | Optimisation methods of operational research | 6 Credits |
Optional Units: Select 2 units from the following list:
Unit Code | Title | |
CM30320 | Natural language processing | 6 Credits |
CM30359 | Reinforcement learning | 6 Credits |
Semester 2: Stage 3
Compulsory Units:
Unit Code | Title | |
CM40179 | Entrepreneurship | 6 Credits |
Optional Units: Select 1 unit from the following list:
Unit Code | Title | |
CM30080 | Computer vision | 6 Credits |
CM30322 | Bayesian machine learning | 6 Credits |
Optional Units: Select 1 unit from the following list:
Unit Code | Title | |
CM30073 | Advanced algorithms & complexity | 6 Credits |
CM30173 | Cryptography | 6 Credits |
CM30226 | Logic and semantics of programming languages | 6 Credits |
MA30245 | Graphs and networks: theory and applications | 6 Credits |
Notes: - Courses and units may be changed in accordance with normal University procedures.
- This course catalogue is applicable for all years of study for the 2024/25 academic year only. Students continuing their studies into 2025/26 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.
|
Academic Year: Stage 4
Compulsory Units:
Unit Code | Title | |
CM20105 | Industrial placement | 60 Credits |
Notes: - Courses and units may be changed in accordance with normal University procedures.
- This course catalogue is applicable for all years of study for the 2024/25 academic year only. Students continuing their studies into 2025/26 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.
|
Academic Year: Final Stage
Designated Essential Units:
Unit Code | Title | |
CM40178 | Research project | 30 Credits |
Semester 1: Final Stage
Optional Units: Select 12 credits from the following list:
Unit Code | Title | |
CM50121 | Safety critical systems | 6 Credits |
CM50264 | Machine learning 1 | 6 Credits |
CM50272 | Humans and intelligent machines | 6 Credits |
XX50215 | Statistics for data science | 6 Credits |
Semester 2: Final Stage
Optional Units: Select 18 credits from the following list:
Unit Code | Title | |
CM50200 | Mobile and pervasive systems | 6 Credits |
CM50205 | Theory of human computer interaction | 6 Credits |
CM50210 | Cryptography | 6 Credits |
CM50265 | Machine learning 2 | 6 Credits |
CM50268 | Bayesian machine learning | 6 Credits |
Notes: - Courses and units may be changed in accordance with normal University procedures.
- This course catalogue is applicable for all years of study for the 2024/25 academic year only. Students continuing their studies into 2025/26 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.
|