Department of Computer Science Course Catalogue 2025/26
USCM-AFB32: BSc(Hons) Computer Science and Mathematics
Route: BSc(Hons) Computer Science and Mathematics
Leading to the award of BACHELOR OF SCIENCE IN COMPUTER SCIENCE AND MATHEMATICS
Mode of Attendance: Full-time
Normal course duration: 3 Years
[Page last updated: 22 April 2025]
This course is for students who will be in Years 1, 2 or 3 in 2025/26
Applicable assessment regulations: | Undergraduate assessment regulations - /publications/undergraduate-assessment-regulations/ |
Approved exemptions: | None |
Coexistent Masters course?: | No |
DACS and exit awards: | This course has no designated alternative course (DAC).
Exit awards:
Diploma of Higher Education
Certificate of Higher Education
|
Weighting towards final award by stage: | Stage 1: 0%
Stage 2: 32%
Final Stage: 68% |
Please consult your course handbook or contact your Director of Studies for further information on assessment regulations
Academic Year: Stage 1
Compulsory Units:
Unit Code | Title | ECTS Credits |
| CM12001 | Artificial intelligence 1 | 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 |
| MA12012 | Core pure and statistical mathematics A | 15 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 |
| MA12013 | Core pure and statistical mathematics B | 15 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.
|
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 |
Semester 1: Stage 2
Compulsory Units:
Unit Code | Title | ECTS Credits |
| MA22014 | Statistics 2A | 10 Credits |
Optional Units: Select 1 unit from the following list:
Unit Code | Title | ECTS Credits |
| MA22020 | Advanced linear algebra | 5 Credits |
| MA22038 | Probabilistic modelling | 5 Credits |
Semester 2: Stage 2
Compulsory Units:
Unit Code | Title | ECTS Credits |
| MA22015 | Statistics 2B | 5 Credits |
Optional Units: Select 1 unit from the following list:
Unit Code | Title | ECTS Credits |
| MA22017 | Groups and rings | 10 Credits |
| MA22037 | Numerical analysis | 10 Credits |
| MA22039 | Probability theory | 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.
|
| Students must select 40 credits of options with an even split between semesters. 10 credit AY units are treated as being 5 credits per semester. The extended project can be chosen later instead of the individual project, subject to DoS approval. This would replace 10 credits worth of options. Students must also select a minimum of 20 credits of Maths options. |
Academic Year: Final Stage
Compulsory Units:
| With DoS approval, students can take CM32028 "Individual project (extended)" instead of CM32017. If approved, students must select units worth 30 credits from the remaining options, taking an even split of credits between semesters. Please note that students taking CM32028 "Individual project (extended)" may not transfer to an MComp programme later. |
Unit Code | Title | ECTS Credits |
| CM32017 | Individual project | 20 Credits |
Optional Units: Select a minimum of 0 and a maximum of 20 credits from the following list:
Unit Code | Title | ECTS Credits |
| CM32027 | Entrepreneurship | 10 Credits |
| CM32032 | Reinforcement learning | 10 Credits |
Semester 1: Final Stage
Optional Units: Select a minimum of 0 and a maximum of 20 credits from the following list:
Unit Code | Title | ECTS Credits |
| MA32022 | Statistical modelling and data analytics 3A | 10 Credits |
| MA32025 | Medical statistics | 5 Credits |
| MA32047 | Differential geometry of curves and surfaces | 5 Credits |
| MA32064 | Number theory and cryptography | 5 Credits |
| MA32065 | Numerical linear algebra | 10 Credits |
| MA32069 | Projective geometry | 5 Credits |
| MA32071 | Stochastic processes and martingales | 10 Credits |
Optional Units: Select a minimum of 0 and a maximum of 10 credits from the following list:
Unit Code | Title | ECTS Credits |
| CM32025 | Computational complexity | 5 Credits |
| MN22156 | Digital business innovation | 5 Credits |
Semester 2: Final Stage
Optional Units: Select a minimum of 0 and a maximum of 20 credits from the following list:
Unit Code | Title | ECTS Credits |
| MA32023 | Bayesian statistics | 5 Credits |
| MA32024 | Statistical modelling and data analytics 3B | 10 Credits |
| MA32048 | Discrete probability | 5 Credits |
| MA32054 | Graph theory | 5 Credits |
| MA32055 | Groups and their representations | 10 Credits |
| MA32056 | Introduction to topology | 5 Credits |
| MA32057 | Inverse problems and numerical optimisation | 10 Credits |
| MA32068 | Probability and finance | 5 Credits |
Optional Units: Select a minimum of 0 and a maximum of 20 credits 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.
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