University home > Unit and programme catalogues in 2019/20 > Programme catalogue > Faculty of Engineering > Department of Computer Science > Mathematics and Computer Science (MEng) > Specification
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Programme code | 4COSC018U |
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Programme type | Joint Honours (UG) |
Programme director(s) |
Raphael Clifford
Ashley Montanaro |
Faculty | Faculty of Engineering |
School/department | Department of Computer Science |
Second School/department | School of Mathematics |
Teaching institution | University of Bristol |
Awarding institution | University of Bristol |
Accrediting types: |
Accredited by BCS, the Chartered Institute for IT for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional. (http://www.bcs.org/) |
Mode of study | Full Time |
Programme length | 4 years (full time) |
All degree programmes share the University's aim of "offering students the best possible learning experience in a research environment" - enabling them to realise their full potential in their chosen careers. An important goal is to maximise student choice while maintaining academic consistency.
In Computer Science:
The programme provides a broad education in fundamental aspects of the subject and a more advanced knowledge of some topics. The programme develops skill in computational reasoning, problem-solving, and practical computing; facility in handling abstract concepts; and an ability to think logically and critically and to express ideas clearly. It fosters students' intellectual development, and their employability, by enabling the study of subjects allied to or complementary to computer science.
In Mathematics:
the programme provides a broad education in fundamental aspects of mathematics and a more advanced knowledge of some topics, particularly but not exclusively those relevant to the other subject in the Joint programme. They develop skill in mathematical reasoning, problem-solving, and mathematical manipulation, and an ability to think logically and critically and to express ideas clearly.
Programme Intended Learning Outcomes | Learning and Teaching Methods |
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|
Strong support in the first year, more independence encouraged in later years. First year based on lectures supported by weekly small-group tutorials; second year based on lectures and problem classes, third and fourth years based on lectures and/or seminars, guided reading, projects, group work etc. depending on choice of optional units. |
Methods of Assessment | |
Written examination, and in the third and fourth years, assessed project work and seminars depending on the choice of optional unit. |
Programme Intended Learning Outcomes | Learning and Teaching Methods |
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|
Lectures supported by weekly assignments of mathematical exercises which are marked and returned to students. See also under Knowledge and Understanding. |
Methods of Assessment | |
Written examination, and in the third and fourth years, assessed project work and seminars depending on the choice of optional unit. |
Programme Intended Learning Outcomes | Learning and Teaching Methods |
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|
Lectures supported by weekly assignments of mathematical exercises which are marked and returned to students plus project work in Mathematics. See also under Knowledge and Understanding. |
Methods of Assessment | |
Written examination, and in the third and fourth years, assessed computational assignments and project work and seminars depending on the choice of optional unit. |
Statement of expectations from the students at each level of the programme as it/they develop year on year.
Level C/4 - Certificate |
They will have a sound knowledge of the basic concepts of a subject, and will have learned how to take different approaches to solving problems. They will be able to communicate accurately, and will have the qualities needed for employment requiring the exercise of some personal responsibility. |
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Level I/5 - Intermediate |
They will have developed a sound understanding of the principles in their field of study, and will have learned to apply those principles more widely. Through this, they will have learned to evaluate the appropriateness of different approaches to solving problems. Their studies may well have had a vocational orientation, enabling them to perform effectively in their chosen field. They will have the qualities necessary for employment in situations requiring the exercise of personal responsibility and decision-making. |
Level H/6 - Honours |
Will have developed an understanding of a complex body of knowledge, some of it at the current boundaries of an academic discipline. Through this, the graduate will have developed analytical techniques and problem-solving skills that can be applied in many types of employment. The graduate will be able to evaluate evidence, arguments and assumptions, to reach sound judgements, and to communicate effectively. Should have the qualities needed for employment in situations requiring the exercise of personal responsibility, and decision-making in complex and unpredictable circumstances. |
Level M/7 - Masters |
Much of the study undertaken at Masters level will have been at, or informed by, the forefront of an academic or professional discipline. Students will have shown originality in the application of knowledge, and they will understand how the boundaries of knowledge are advanced through research. They will be able to deal with complex issues both systematically and creatively, and they will show originality in tackling and solving problems. They will have the qualities needed for employment in circumstances requiring sound judgement, personal responsibility and initiative, in complex and unpredictable professional environments. |
The intended learning outcome mapping document shows which mandatory units contribute towards each programme intended learning outcome.
For information on the admissions requirements for this programme please see details in the undergraduate prospectus at http://www.bristol.ac.uk/prospectus/undergraduate/ or contact the relevant academic department.
Workload Statement
Student workloads in the Engineering Faculty are calculated on the assumption that you will work an average of 40 hours per week over the 30 weeks of the academic year. 10 credits therefore represents about 100 hours of student work. This workload includes all activities related to the delivery and assessment of taught units.
A major component of this load is the time that you spend in class, in contact with the teaching staff, which includes lectures, laboratories, computing classes, tutorials, examples classes and design classes. In the early years of the Engineering programmes this scheduled time typically amounts to 17 -25 hours per week; in the later years this reduces to 7-12 hours as more time is allocated to un-scheduled work on individual or group projects.
Outside timetabled activities you are expected to pursue your own independent learning in order to build your knowledge and understanding of the subjects you are studying. Such independent activities include reviewing lecture material, reading textbooks, working on examples sheets, completing coursework, writing up laboratory notes, preparing for in-class progress tests and revising for examinations.
The 100 hours per 10 credits includes all the time that you will need to spend on completing coursework assignments to the required standard or preparing for and taking examinations. For units that are assessed by coursework alone, the full 100 hours per 10 credits is expected to be used in completing the coursework and so these units may put a higher demand on your time during the normal teaching year. Exams are held in January and May/June while coursework deadlines are spread out through the teaching year. You will therefore need to plan carefully to make sure that you can meet your coursework deadlines while still keeping up with your scheduled classes. Your Department will provide you with a coursework schedule each year to allow you to manage your workload efficiently.
Assessment Statement
Please select the following link for a statement about assessment. This is University of Bristol access only.
https://www.bris.ac.uk/engineering/currentstudents/handbooks/ughandbook/dean.html#assess
Admissions Co-ordinator School of Mathematics, University Walk, Bristol, BS8 1TW Tel: (0117) 928 9854 Email: Admissions-maths@bristol.ac.uk
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.
Unit Name | Unit Code | Credit Points | Status | |
---|---|---|---|---|
Analysis | MATH10011 | 20 | Mandatory | TB-4 |
Linear Algebra | MATH10015 | 20 | Mandatory | TB-4 |
Introduction to Proofs and Group Theory | MATH10010 | 20 | Mandatory | TB-4 |
Probability and Statistics | MATH10013 | 20 | Mandatory | TB-4 |
Functional Programming | COMS10006 | 10 | Mandatory | TB-1 |
Algorithms | COMS10007 | 10 | Mandatory | TB-2 |
Imperative Programming | COMS10008 | 10 | Mandatory | TB-1 |
Object-Oriented Programming | COMS10009 | 10 | Mandatory | TB-2 |
Certificate of Higher Education | 120 |
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.
Unit Name | Unit Code | Credit Points | Status | |
---|---|---|---|---|
Programming Languages and Computation | COMS20007 | 20 | Mandatory | TB-1 |
Algorithms II | COMS20010 | 10 | Mandatory | TB-1 |
Interaction and Society | COMS20009 | 20 | Mandatory | TB-2 |
Data-Driven Computer Science | COMS20011 | 10 | Mandatory | TB-2 |
Choose 20 credits from the list below: | ||||
Software Engineering Project | COMS20006 | 20 | Optional | TB-4 |
Combinatorics | MATH20002 | 20 | Optional | TB-1 |
Choose 40 credits of Mathematics options from the list below: | ||||
Linear Algebra 2 | MATH21100 | 20 | Optional | TB-1 |
Metric Spaces | MATH20006 | 20 | Optional | TB-1 |
Statistics 2 | MATH20800 | 20 | Optional | TB-1 |
Algebra 2 | MATH21800 | 20 | Optional | TB-2 |
Introduction to Geometry | MATH20004 | 20 | Optional | TB-2 |
Probability 2 | MATH20008 | 20 | Optional | TB-2 |
Diploma of Higher Education | 120 |
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 | |
---|---|---|---|---|
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 |
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 COMSM0052 and MATHM2204 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 | |
---|---|---|---|---|
Students should choose one project Unit in whichever Project subject (COMS or MATH) was not chosen in the previous year, and 40 credit points each of Computer Science and Mathematics 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. Please note: you cannot repeat subjects you chose in previous years. | ||||
Project Units | ||||
Individual Project with Innovation Case | COMSM0052 | 40 | Optional | TB-2 |
Project | MATHM2204 | 40 | Optional | TB-4 |
Choose 40 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 or the 15 credit coursework assessment unit. 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. | ||||
Advanced Cryptology (Teaching Unit) | COMSM0042 | 0 | Optional | TB-1 |
Advanced Cryptology | COMSM0040 | 10 | Optional | TB-1 |
Advanced Cryptology (with Coursework) | COMSM0097 | 15 | Optional | TB-1 |
Advanced Topics in Programming Languages (Teaching Unit) | COMSM0067 | 0 | Optional | TB-1 |
Advanced Topics in Programming Languages | COMSM0066 | 10 | Optional | TB-1 |
Advanced Topics in Theoretical Computer Science (Teaching Unit) | COMSM0068 | 0 | Optional | TB-1 |
Advanced Topics in Theoretical Computer Science | COMSM0069 | 10 | Optional | TB-1 |
Applied Deep Learning (Teaching Unit) | COMSM0045 | 0 | Optional | TB-1 |
Applied Deep Learning | COMSM0043 | 10 | Optional | TB-1 |
Applied Deep Learning (with Coursework) | COMSM0098 | 15 | Optional | TB-1 |
Information Processing and the Brain (Teaching Unit) | COMSM0075 | 0 | Optional | TB-1 |
Information Processing and the Brain | COMSM0073 | 10 | Optional | TB-1 |
Information Processing and the Brain (with Coursework) | COMSM0100 | 15 | Optional | TB-1 |
Internet Economics and Financial Technology (Teaching Unit) | COMSM0046 | 0 | Optional | TB-1 |
Internet Economics and Financial Technology | COMSM0047 | 10 | Optional | TB-1 |
Internet Economics and Financial Technology (with Coursework) | COMSM0101 | 15 | Optional | TB-1 |
Advanced Computer Architecture (Teaching Unit) | COMS30046 | 0 | Optional | TB-2 |
Advanced Computer Architecture | COMSM0053 | 20 | Optional | TB-2 |
Applied Data Science (Teaching Unit) | COMS30050 | 0 | Optional | TB-2 |
Applied Data Science | COMSM0055 | 20 | Optional | TB-2 |
CGI (Teaching Unit) | COMS30058 | 0 | Optional | TB-2 |
CGI | COMSM0076 | 20 | Optional | TB-2 |
High Performance Computing (Teaching Unit) | COMS30053 | 0 | Optional | TB-2 |
High Performance Computing | COMSM0057 | 20 | Optional | TB-2 |
Interactive Devices (Teaching Unit) | COMS30054 | 0 | Optional | TB-2 |
Interactive Devices | COMSM0058 | 20 | Optional | TB-2 |
Computational Genomics and Bioinformatics Algorithms | EMATM0004 | 10 | Optional | TB-2 |
Robotics Systems UG | EMATM0053 | 20 | Optional | TB-2 |
Choose 40 credits of Mathematics units from the following list, with no more than one unit from each group | ||||
Group 1 | ||||
Anomaly Detection | MATHM0030 | 10 | Optional | TB-1B |
Axiomatic Set Theory | MATHM1300 | 20 | Optional | TB-1 |
Group 3 | ||||
Representation Theory | MATHM4600 | 20 | Optional | TB-1 |
Martingale Theory with Applications 4 | MATHM0045 | 20 | Optional | TB-1 |
Group 5 | ||||
Geometry of Manifolds | MATHM0037 | 20 | Optional | TB-1 |
Stochastic Optimisation | MATHM0044 | 20 | Optional | TB-1 |
Group 6 | ||||
Complex Function Theory (34) | MATHM3000 | 20 | Optional | TB-1 |
Complex Networks 4 | MATHM6201 | 20 | Optional | TB-1 |
Group 7 | ||||
Quantum Information Theory | MATHM5610 | 10 | Optional | TB-1A |
Group 9 | ||||
Financial Mathematics 34 | MATHM5400 | 20 | Optional | TB-2 |
Group 10 | ||||
Galois Theory | MATHM2700 | 20 | Optional | TB-2 |
Monte Carlo Methods | MATHM6001 | 10 | Optional | TB-2C |
Group 11 | ||||
Algebraic Number Theory 4 | MATHM6205 | 20 | Optional | TB-2 |
Further Topics In Probability 4 | MATHM0018 | 20 | Optional | TB-2 |
Group 12 | ||||
Functional Analysis 34 | MATHM6202 | 20 | Optional | TB-2 |
Theory of Inference 4 | MATHM0019 | 20 | Optional | TB-2 |
Group 13 | ||||
Quantum Computation | MATHM0023 | 10 | Optional | TB-2C |
Group 15 | ||||
Multivariate Analysis 34 | MATHM0510 | 10 | Optional | TB-2C |
Topics in Discrete Mathematics 34 | MATHM0009 | 10 | Optional | TB-2C |
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. | ||||
Mathematics and Computer Science (MEng) | 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.
Please note: This specification provides a concise summary of the main features of the programme and the learning outcomes that a typical student might reasonably be expected to achieve and demonstrate if he/she takes full advantage of the learning opportunities that are provided.
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Tel: +44 (0)117 928 9000