| Unit name | Unit code | Credit points | Status | Teaching Block |
|---|---|---|---|---|
| Choose 1 Project Unit, plus 50 credit points each of Mathematics and Computer Science units. | ||||
| Choose 1 Project Unit from the following list: | ||||
| Individual Short Project | COMS30044 | 20 | Optional | TB-2 |
| Project 1 | MATH32200 | 20 | Optional | TB-4 |
| Choose 50 credits of Computer Science units from the following list: | ||||
| For every Computer Science option, you MUST pick the 0 credit Teaching Unit and the associated credit-bearing Assessment Unit. | ||||
| Advanced Algorithms (Teaching Unit) | COMS30042 | 0 | Optional | TB-1 |
| Advanced Algorithms | COMS30041 | 10 | Optional | TB-1 |
| Artificial Intelligence (Teaching Unit) | COMS30014 | 0 | Optional | TB-1 |
| Artificial Intelligence | COMS30013 | 10 | Optional | TB-1 |
| Computational Neuroscience (Teaching Unit) | COMS30017 | 0 | Optional | TB-1 |
| Computational Neuroscience | COMS30016 | 10 | Optional | TB-1 |
| Computer Graphics (Teaching Unit) | COMS30020 | 0 | Optional | TB-1 |
| Computer Graphics | COMS30018 | 10 | Optional | TB-1 |
| Cryptology (Teaching Unit) | COMS30023 | 0 | Optional | TB-1 |
| Cryptology | COMS30021 | 10 | Optional | TB-1 |
| Image Processing and Computer Vision (Teaching Unit) | COMS30030 | 0 | Optional | TB-1 |
| Image Processing and Computer Vision | COMS30032 | 10 | Optional | TB-1 |
| Machine Learning (Teaching Unit) | COMS30035 | 0 | Optional | TB-1 |
| Machine Learning | COMS30033 | 10 | Optional | TB-1 |
| Security Behaviours (Teaching Unit) | COMS30038 | 0 | Optional | TB-1 |
| Security Behaviours | COMS30036 | 10 | Optional | TB-1 |
| Types and Lambda Calculus (Teaching Unit) | COMS30040 | 0 | Optional | TB-1 |
| Types and Lambda Calculus | COMS30039 | 10 | Optional | TB-1 |
| Advanced Computer Architecture (Teaching Unit) | COMS30046 | 0 | Optional | TB-2 |
| Advanced Computer Architecture | COMS30047 | 20 | Optional | TB-2 |
| Applied Data Science (Teaching Unit) | COMS30050 | 0 | Optional | TB-2 |
| Applied Data Science | COMS30051 | 20 | Optional | TB-2 |
| CGI (Teaching Unit) | COMS30058 | 0 | Optional | TB-2 |
| CGI | COMS30059 | 20 | Optional | TB-2 |
| High Performance Computing (Teaching Unit) | COMS30053 | 0 | Optional | TB-2 |
| High Performance Computing | COMS30052 | 20 | Optional | TB-2 |
| Interaction Design (Teaching Unit) | COMS30060 | 0 | Optional | TB-2 |
| Interaction Design | COMS30061 | 20 | Optional | TB-2 |
| Choose 50 credits of Mathematics units from the following list: | ||||
| Please note, you cannot repeat options you took in Year 2. The units are ordered in the list by Teaching Block. | ||||
| Information Theory 3 | MATH34600 | 10 | Optional | TB-1B |
| Martingale Theory with Applications 3 | MATH36204 | 10 | Optional | TB-1A |
| Complex Networks | MATH36201 | 20 | Optional | TB-1 |
| Financial Risk Management | MATH30014 | 20 | Optional | TB-1 |
| Group Theory | MATH33300 | 20 | Optional | TB-1 |
| Linear and Generalised Linear Models | MATH30013 | 20 | Optional | TB-1 |
| Set Theory | MATH32000 | 20 | Optional | TB-1 |
| Statistics 2 | MATH20800 | 20 | Optional | TB-1 |
| Stochastic Optimisation | MATH30021 | 20 | Optional | TB-1 |
| Time Series Analysis | MATH33800 | 20 | Optional | TB-1 |
| Multivariate Analysis | MATH30510 | 10 | Optional | TB-2C |
| Topics in Discrete Mathematics 3 | MATH30002 | 10 | Optional | TB-2C |
| Bayesian Modelling | MATH30015 | 20 | Optional | TB-2 |
| Further Topics In Probability 3 | MATH30006 | 20 | Optional | TB-2 |
| Financial Mathematics | MATH35400 | 20 | Optional | TB-2 |
| Logic | MATH30100 | 20 | Optional | TB-2 |
| Number Theory | MATH30200 | 20 | Optional | TB-2 |
| Optimisation | MATH30017 | 20 | Optional | TB-2 |
| Statistical Mechanics | MATH34300 | 20 | Optional | TB-2 |
| Theory of Inference | MATH35600 | 20 | Optional | TB-2 |
| The Director of the Maths/CS degree programme may, at their discretion, designate units outside the Computer Science (Mathematics) programmes as being Computer Science (Mathematics) units for the purpose of unit options. Such units must contain a significant proportion of Computer Science (Mathematics) content. Option availability subject to timetabling. | ||||
| Mathematics and Computer Science (BSc) | 120 | |||
Unit Pass Mark for Undergraduate Programmes:
For details on the weightings for classifying undergraduate degrees, please see the Agreed Weightings, by Faculty, to be applied for the Purposes of Calculating the Final Programme Mark and Degree Classification in Undergraduate Programmes.
For detailed rules on progression please see the Regulations and Code of Practice for Taught Programmes and the relevant faculty handbook.
Please refer to the specific progression/award requirements for programmes with a preliminary year of study, the Gateway programmes and International Foundation programmes.
All undergraduate degree programmes allow the opportunity for a student to exit from a programme with a Diploma or Certificate of Higher Education.
Integrated Master's degrees may also allow the opportunity for a student to exit from the programme with an equivalent Bachelor's degree where a student has achieved 360 credit points, of which 90 must be at level 6, and has successfully met any additional criteria as described in the programme specification.
The opportunities for a student to exit from one of the professional programmes in Veterinary Science, Medicine, and Dentistry with an Award is outlined in the relevant Programme Regulations (which are available as an annex in the Regulations and Code of Practice for Taught Programmes).
An Ordinary degree can be awarded if a student has successfully completed at least 300 credits with a minimum of 60 credits at Level 6.
The pass mark for the professional programmes in Veterinary Science, Medicine and Dentistry is 50 out of 100. The classification of a degree in the professional programmes in Veterinary Science, Medicine, and Dentistry is provided in the Regulations and Code of Practice for Taught Programmes.
