Department of Computer Science Programme Catalogue 2023/4
USCM-AFM01: MComp (hons) Computer Science
Route: MComp(Hons) Computer Science
Leading to the award of MASTER OF COMPUTING IN COMPUTER SCIENCE
Mode of Attendance: Full-time
Normal course duration: 4 Years
[Page last updated: 27 October 2023]
This course is for students who will be in Year 2 or later in 2023/24
Applicable assessment regulations: | Undergraduate assessment regulations - https://www.bath.ac.uk/publications/undergraduate-assessment-regulations/ |
Approved exemptions: | None |
Coexistent Masters course?: | Yes |
DACS and exit awards: | USCM-AFB06: BSc (hons) Computer Science
USCM-AFL06: Diploma of Higher Education [exit award]
USCM-AFC06: Certificate of Higher Education [exit award]
Transfer to DAP possible from study years as follows: Year 1: Yes; Year 2: Yes; Year 3: Yes; Year 4: Yes; |
Weighting towards final award by stage: | Stage 1: 0%
Stage 2: 16%
Stage 3: 34%
Final Stage: 50% |
Please consult your course handbook or contact your Director of Studies for further information on assessment regulations
| This course is being replaced by a new version so Year 1 of this version is not available in 2023/24. |
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 2023/24 academic year only. Students continuing their studies into 2024/25 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 2
Compulsory Units:
Unit Code | Title | |
| CM20314 | Experimental systems project | 12 Credits |
| CM20315 | Machine learning | 12 Credits |
Semester 1: Stage 2
Compulsory Units:
Unit Code | Title | |
| CM20217 | Foundations of computation | 6 Credits |
| CM20219 | Fundamentals of visual computing | 6 Credits |
| CM20254 | Data structures and algorithms | 6 Credits |
Semester 2: Stage 2
Compulsory Units:
Unit Code | Title | |
| CM20256 | Functional programming | 6 Credits |
| CM20318 | Comparative programming languages | 6 Credits |
| CM20319 | Human-computer interaction and user experience | 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 2023/24 academic year only. Students continuing their studies into 2024/25 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
Must Pass Units:
Unit Code | Title | |
| CM30082 | Individual project | 24 Credits |
Semester 1: Stage 3
Optional Units: Select 3 units from the following list:
Unit Code | Title | |
| CM30072 | Safety-critical computer systems | 6 Credits |
| CM30075 | Advanced computer graphics | 6 Credits |
| CM30078 | Networking | 6 Credits |
| CM30225 | Parallel computing | 6 Credits |
| CM30320 | Natural language processing | 6 Credits |
| CM30359 | Reinforcement learning | 6 Credits |
| MA30087 | Optimisation methods of operational research | 6 Credits |
| MN20074 | Digital business innovation | 6 Credits |
Semester 2: Stage 3
Compulsory Units:
Unit Code | Title | |
| CM40179 | Entrepreneurship | 6 Credits |
Optional Units: Select 2 units from the following list:
Unit Code | Title | |
| CM30073 | Advanced algorithms & complexity | 6 Credits |
| CM30080 | Computer vision | 6 Credits |
| CM30141 | Theory of human computer interaction | 6 Credits |
| CM30173 | Cryptography | 6 Credits |
| CM30226 | Logic and semantics of programming languages | 6 Credits |
| MA30245 | Graphs and networks: theory and applications | 6 Credits |
| MN30076 | Business strategy | 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 2023/24 academic year only. Students continuing their studies into 2024/25 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
Must Pass Units:
Unit Code | Title | |
| CM40178 | Research project | 30 Credits |
Semester 1: Final Stage
Optional Units: Select 12 credits from the following list:
- Students who have previously taken CM30072 may not select CM50121 from this list.
- Students who have previously taken CM30078 may not select CM50123 from this list.
- Students who have previously taken CM30174 may not select CM50206 from this list.
- Units CM50264 and XX50215 must be taken together.
|
Unit Code | Title | |
| CM50109 | Software engineering | 12 Credits |
| CM50121 | Safety critical systems | 6 Credits |
| CM50123 | Networking | 6 Credits |
| CM50264 | Machine learning 1 | 6 Credits |
| XX50215 | Statistics for data science | 6 Credits |
| EE40098 | Computational intelligence | 6 Credits |
Semester 2: Final Stage
Optional Units: Select 18 credits from the following list:
- Students who have previously taken CM30141 may not select CM50205 from this list.
- Students who have previously taken CM30173 may not select CM50210 from this list.
- Students who have previously taken CM30229 may not select CM50230 from this 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 |
| CM50270 | Reinforcement 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 2023/24 academic year only. Students continuing their studies into 2024/25 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.
|
Director of Studies approved option allowed: students may be permitted to take a Director of Studies approved option as an alternative to one of the units from this list