What do the teaching blocks (TB) mean?
This Integrated Master's programme has been designated as type III: Professional in accordance with the QAA descriptors for Master's programmes. Please see the Regulations and Code of Practice for Taught Programmes for further information on this type of programme.
Mandatory Units COMS30044 and MATH32200 are must pass. For the definition of must pass units please see the Glossary of Terms from Annex 1 to the Regulations and Code of Practice for Taught Programmes.
| Unit name | Unit code | Credit points | Status | Teaching Block |
|---|---|---|---|---|
| Students should choose 1 Project Unit, plus a minimum of 40 credit points each of Mathematics and Computer Science units. Students should aim to take no more than 5 units and 60 credit points in each Teaching Block; any exceptions to this should be agreed in writing by the Programme Director. | ||||
| 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 each Computer Science Option you MUST pick the 0 credit Teaching Unit PLUS either the 10 credit exam assessment unit OR the 15 credit coursework assessment. A minimum of 30 credit points must be taken if selecting the Computer Science Coursework so TWO coursework options would be required – please note that these CANNOT be combined with 20 credit Maths TB1 units or 10 credit Maths TB1B units. MEng Year 3 students should be aware that choosing the CS coursework options could result in a restricted options choice in Year 4. Hence, students need to consider their chosen route through the Programme carefully, and are strongly advised to speak to their Personal Tutor to discuss this. | ||||
| 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 |
| Artificial Intelligence (with Coursework) | COMS30062 | 15 | Optional | TB-1 |
| Computational Neuroscience (Teaching Unit) | COMS30017 | 0 | Optional | TB-1 |
| Computational Neuroscience | COMS30016 | 10 | Optional | TB-1 |
| Computational Neuroscience (with Coursework) | COMS30063 | 15 | Optional | TB-1 |
| Computer Graphics (Teaching Unit) | COMS30020 | 0 | Optional | TB-1 |
| Computer Graphics | COMS30018 | 10 | Optional | TB-1 |
| Computer Graphics (with Coursework) | COMS30064 | 15 | Optional | TB-1 |
| Cryptology (Teaching Unit) | COMS30023 | 0 | Optional | TB-1 |
| Cryptology | COMS30021 | 10 | Optional | TB-1 |
| Cryptology (with Coursework) | COMS30065 | 15 | Optional | TB-1 |
| Human-Computer Interaction (Teaching Unit) | COMS30029 | 0 | Optional | TB-1 |
| Human-Computer Interaction | COMS30027 | 10 | Optional | TB-1 |
| Human-Computer Interaction (with Coursework) | COMS30067 | 15 | 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 |
| Image Processing and Computer Vision (with Coursework) | COMS30068 | 15 | Optional | TB-1 |
| Machine Learning (Teaching Unit) | COMS30035 | 0 | Optional | TB-1 |
| Machine Learning | COMS30033 | 10 | Optional | TB-1 |
| Machine Learning (with Coursework) | COMS30069 | 15 | Optional | TB-1 |
| Security Behaviours (Teaching Unit) | COMS30038 | 0 | Optional | TB-1 |
| Security Behaviours | COMS30036 | 10 | Optional | TB-1 |
| Security Behaviours (with Coursework) | COMS30070 | 15 | 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 at least 40 credits of Mathematics units from the following list, with: | ||||
| Group 1 | ||||
| Financial Risk Management | MATH30014 | 20 | Optional | TB-1 |
| Metric Spaces | MATH20006 | 20 | Optional | TB-1 |
| Group 2 | ||||
| Linear and Generalised Linear Models | MATH30013 | 20 | Optional | TB-1 |
| Group 3 | ||||
| Combinatorics | MATH20002 | 20 | Optional | TB-1 |
| Group Theory | MATH33300 | 20 | Optional | TB-1 |
| Martingale Theory with Applications 3 | MATH30027 | 20 | Optional | TB-1 |
| Group 4 | ||||
| Set Theory | MATH32000 | 20 | Optional | TB-1 |
| Statistics 2 | MATH20800 | 20 | Optional | TB-1 |
| Time Series Analysis | MATH33800 | 20 | Optional | TB-1 |
| Group 5 | ||||
| Linear Algebra 2 | MATH21100 | 20 | Optional | TB-1 |
| Measure Theory and Integration | MATH30007 | 20 | Optional | TB-1 |
| Stochastic Optimisation | MATH30021 | 20 | Optional | TB-1 |
| Group 6 | ||||
| Complex Function Theory | MATH33000 | 20 | Optional | TB-1 |
| Complex Networks | MATH36201 | 20 | Optional | TB-1 |
| Group 7 | ||||
| Information Theory 3 | MATH34600 | 10 | Optional | TB-1A |
| Group 9 | ||||
| Financial Mathematics | MATH35400 | 20 | Optional | TB-2 |
| Probability 2 | MATH20008 | 20 | Optional | TB-2 |
| Group 10 | ||||
| Introduction to Geometry | MATH20004 | 20 | Optional | TB-2 |
| Group 11 | ||||
| Further Topics In Probability 3 | MATH30006 | 20 | Optional | TB-2 |
| Number Theory | MATH30200 | 20 | Optional | TB-2 |
| Statistical Mechanics | MATH34300 | 20 | Optional | TB-2 |
| Group 12 | ||||
| Functional Analysis 3 | MATH36202 | 20 | Optional | TB-2 |
| Theory of Inference | MATH35600 | 20 | Optional | TB-2 |
| Group 13 | ||||
| Bayesian Modelling | MATH30015 | 20 | Optional | TB-2 |
| Logic | MATH30100 | 20 | Optional | TB-2 |
| Group 14 | ||||
| Algebra 2 | MATH21800 | 20 | Optional | TB-2 |
| Optimisation | MATH30017 | 20 | Optional | TB-2 |
| Group 15 | ||||
| Multivariate Analysis | MATH30510 | 10 | Optional | TB-2C |
| Topics in Discrete Mathematics 3 | MATH30002 | 10 | Optional | TB-2C |
| No more than 20 credit points at Level 5 (units starting MATH2) No more than 1 unit from each Group. Please note, you cannot repeat subjects you chose in previous years. | ||||
| The Director of the Maths and Computer Science degree programme may, at their discretion, designate units outside the Computer Science or Mathematics programmes as being Computer Science or Mathematics units for the purpose of unit options. This list will be provided in the Options Choice Booklet. Such units must contain a significant proportion of Computer Science or Mathematics content. Option availability subject to timetabling. | ||||
| BEng | 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).
