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Programme code | 4EMAT002U |
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Programme type | Single Honours |
Programme director(s) |
Robert Szalai
|
Faculty | Faculty of Engineering |
School/department | School of Engineering Mathematics and Technology |
Teaching institution | University of Bristol |
Awarding institution | University of Bristol |
Accrediting types: |
Accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as a Chartered Engineer. (http://www.theiet.org/) This programme is accredited to meet the educational requirements of the Chartered Mathematician designation awarded by the Institute of Mathematics and its Applications. (http://www.ima.org.uk/) |
Relevant QAA subject benchmark groups |
Mathematics, statistics and operational research (2023) (benchmark statement)
Engineering (2023) (benchmark statement) |
Mode of study | Full Time |
Programme length | 4 years (full time) |
We believe that there is an increasing need for graduates with a strong mathematical, engineering and computing background who have inter-personal skills, combined with the flexibility to work as team members in a multi-disciplinary engineering environment. The Engineering Mathematics Department's programmes aim to meet this national need. They equip well-qualified entrants with the knowledge, technical and transferable skills that will enable them to play a leading and creative role as mathematicians and engineering professionals in industry, academic research, or elsewhere. Mathematical modelling and analysis are at the heart of modern engineering. Systems as diverse as aircraft, energy harvesters, artificial muscles, communication networks, data mining and bioinformatics have complicated dynamics that cannot be understood without detailed mathematical analysis. Also key to modelling complex systems is the ability to manipulate and analyse data. This analysis often requires us to search for patterns and underlying relationships so that useful knowledge and information can be extracted.
The Engineering Mathematics degree programmes aim to equip students with the necessary tools for mathematical and data modelling, as well as giving them experience in applying these tools across a wide range of engineering problems. Programme intended learning outcomes:
Programme Intended Learning Outcomes | Learning and Teaching Methods |
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|
Formal lectures, demonstration classes, practical laboratories, computing laboratories, modelling seminars, guided reading, computer aided self- assessment. |
Methods of Assessment | |
Formal written examinations (mid-term progress and end of year), written coursework assignments, laboratory reports. |
Programme Intended Learning Outcomes | Learning and Teaching Methods |
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|
Practical, professional and transferable skills are developed through lectures, examples classes, laboratory experiments, computing labs and group case-study exercises. They are further enhanced during project work and through interactions with project supervisors in later years of the course. |
Methods of Assessment | |
Practical skills are assessed through laboratory notebooks, programming exercises, and technical reports. Many transferable skills are assessed through informal and formal presentations. |
Programme Intended Learning Outcomes | Learning and Teaching Methods |
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|
Practical, professional and transferable skills are developed through lectures, examples classes, laboratory experiments, computing labs and group case-study exercises. They are further enhanced during project work and through interactions with project supervisors in later years of the course. |
Methods of Assessment | |
Practical skills are assessed through laboratory notebooks, programming exercises, and technical reports. Many transferable skills are assessed through informal and formal presentations. |
Statement of expectations from the students at each level of the programme as it/they develop year on year.
Level C/4 - Certificate |
After the first year students will be have sound knowledge of basic engineering mathematics, discrete mathematics, programming and general engineering |
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Level I/5 - Intermediate |
The second year builds on year one and the students will have developed a deeper understanding of the core subjects and will have begun to explore more advanced topics. Through this, they will have learnt to evaluate the appropriateness of different approaches to solving problems. |
Level H/6 - Honours |
The third year allows more freedom and the students must choose from a selection of specialist courses geared to their degree and are encouraged to take complementary open units to broaden their education. A student at this stage will be able to evaluate evidence, arguments and assumptions to reach sound judgements and to communicate effectively. They should have the qualities need for employment in situations requiring the exercise of personal responsibility, and decision-making in complex and unpredictable circumstances. |
Level M/7 - Masters |
The final year provides an opportunity to study advanced topics at Masters level and in addition requires that students undertake a major research project. Much of the study undertaken at asters level will be at, or informed by, the forefront of an academic or professional discipline. Students will have shown originality in the application of knowledge, and 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. |
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
The Departmental Web Page: http://www.enm.bris.ac.uk
Undergraduate Admissions Email Address: enm-admissions@bristol.ac.uk
General Departmental Address
Department of Engineering Mathematics,
University of Bristol
BS8 1TR
Tel: +44 (0) 117 928 9734
Fax: +44 (0) 117 925 1154
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 | |
---|---|---|---|---|
Engineering Physics | EMAT10005 | 20 | Mandatory | TB-4 |
Further Computer Programming | EMAT10006 | 10 | Mandatory | TB-2 |
Introduction to Computer Programming | EMAT10007 | 10 | Mandatory | TB-1 |
Mathematics and Data Modelling 1 | EMAT10008 | 20 | Mandatory | TB-4 |
Engineering Mathematics 1 | EMAT10100 | 20 | Mandatory | TB-4 |
Discrete Mathematics | EMAT10704 | 20 | Mandatory | TB-4 |
Engineering Science 1: Thermofluids | AENG10003 | 20 | Mandatory | TB-4 |
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 | |
---|---|---|---|---|
Engineering Mathematics 2 | EMAT20200 | 20 | Mandatory | TB-4 |
Mathematical and Data Modelling 2 | EMAT22220 | 20 | Mandatory | TB-4 |
Discrete Mathematics 2 | EMAT20540 | 10 | Mandatory | TB-1 |
Engineering Physics II | EMAT20010 | 10 | Mandatory | TB-1 |
Numerical Methods in Matlab | EMAT20920 | 10 | Mandatory | TB-1 |
Applied Linear Algebra | EMAT20012 | 10 | Mandatory | TB-2 |
Introduction to Data Science | EMAT20011 | 10 | Mandatory | TB-2 |
Principles of Professional Practice | MENG20008 | 10 | Mandatory | TB-1,TB-2 |
Select 20 credit points by choosing from the units below: | ||||
Aerodynamics | AENG21100 | 20 | Optional | TB-4 |
Dynamics and Control | MENG20004 | 20 | Optional | TB-4 |
C for Embedded Systems | EENG20004 | 10 | Optional | TB-2 |
Signals and Systems | EENG21000 | 10 | Optional | TB-1 |
OR 20 credits from Language units listed below | ||||
Follow-on French | UWLP20001 | 20 | Optional | TB-4 |
Advanced French | UWLP20002 | 20 | Optional | TB-4 |
Follow-on German | UWLP20003 | 20 | Optional | TB-4 |
Advanced German | UWLP20004 | 20 | Optional | TB-4 |
Follow-on Spanish | UWLP20005 | 20 | Optional | TB-4 |
Advanced Spanish | UWLP20006 | 20 | Optional | TB-4 |
Pre-intermediate Japanese | UWLP20008 | 20 | Optional | TB-4 |
Pre-intermediate Mandarin Chinese | UWLP20009 | 20 | Optional | TB-4 |
Follow-on Italian | UWLP20010 | 20 | Optional | TB-4 |
OR 20 credits from University wide Open Units | ||||
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.
Unit Name | Unit Code | Credit Points | Status | |
---|---|---|---|---|
Continuum Mathematics | EMAT31410 | 20 | Mandatory | TB-4 |
Introduction to Artificial Intelligence | EMAT31530 | 20 | Mandatory | TB-4 |
Mathematical and Data Modelling 3 | EMAT30005 | 30 | Mandatory | TB-4 |
Select 30 credits from the list below: | ||||
Nonlinear Dynamics and Chaos | EMAT33100 | 10 | Optional | TB-1 |
Optimisation Theory and Applications | EMAT30670 | 10 | Optional | TB-1 |
Applied Statistics | EMAT30007 | 10 | Optional | TB-2 |
Control Theory | EMAT30014 | 10 | Optional | TB-2 |
Scientific Computing | EMAT30008 | 10 | Optional | TB-2 |
Select 20 credits from the list below: | ||||
Nonlinear Dynamics and Chaos | EMAT33100 | 10 | Optional | TB-1 |
Optimisation Theory and Applications | EMAT30670 | 10 | Optional | TB-1 |
Numerical and Simulation Methods for Aerodynamics | AENG30018 | 10 | Optional | TB-1 |
Computational Neuroscience (Teaching Unit) | COMS30017 | 0 | Optional | TB-1 |
Computational Neuroscience | COMS30016 | 10 | Optional | TB-1 |
Information Theory 3 | MATH34600 | 10 | Optional | TB-1A |
Modern Mathematical Biology | MATH30004 | 10 | Optional | TB-2D |
Time Series Analysis | MATH33800 | 20 | Optional | TB-1 |
Behaviour of Dynamic Systems | MENG30006 | 20 | Optional | TB-1 |
Fluid Mechanics and Heat Transfer | MENG30008 | 20 | Optional | TB-1 |
Biophysics 321 | PHYS31211 | 10 | Optional | TB-1 |
Applied Statistics | EMAT30007 | 10 | Optional | TB-2 |
Control Theory | EMAT30014 | 10 | Optional | TB-2 |
Scientific Computing | EMAT30008 | 10 | Optional | TB-2 |
Applied Data Science (Teaching Unit) | COMS30050 | 0 | Optional | TB-2 |
Applied Data Science | COMS30051 | 20 | Optional | TB-2 |
Analytical Mechanics | PHYS30008 | 10 | Optional | TB-2 |
Environmental Physics | PHYS30027 | 10 | Optional | TB-2D |
Sensors, Signals and Control | AENG31300 | 20 | Optional | TB-4 |
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 Unit EMATM5000 is 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 | |
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Technical Project | EMATM5000 | 40 | Mandatory | TB-4 |
Select 40 credit points from the following list: | ||||
Mathematics of Movement | EMATM0064 | 10 | Optional | TB-2 |
Mathematical Modelling in Physiology and Medicine | EMATM0007 | 10 | Optional | TB-1 |
Transport and Mobility Modelling | EMATM0021 | 10 | Optional | TB-1 |
Uncertainty Modelling for Intelligent Systems | EMATM1120 | 10 | Optional | TB-1 |
Advanced Nonlinear Dynamics and Chaos | EMATM0001 | 10 | Optional | TB-2 |
Bio-Inspired Artificial Intelligence | EMATM0029 | 10 | Optional | TB-2 |
Intelligent Information Systems | EMATM0042 | 10 | Optional | TB-2 |
Robotics Systems UG | EMATM0053 | 20 | Optional | TB-2 |
Please note that you cannot select EMATM1120 if you have previously studied EMAT30015. | ||||
Students should also choose 40 credit points from: | ||||
Mathematical Modelling in Physiology and Medicine | EMATM0007 | 10 | Optional | TB-1 |
Uncertainty Modelling for Intelligent Systems | EMATM1120 | 10 | Optional | TB-1 |
Robotics Systems UG | EMATM0053 | 20 | Optional | TB-2 |
Bio-Inspired Artificial Intelligence | EMATM0029 | 10 | Optional | TB-2 |
Transport and Mobility Modelling | EMATM0021 | 10 | Optional | TB-1 |
Complex Networks 4 | MATHM6201 | 20 | Optional | TB-1 |
Energy Management | EENGM7031 | 10 | Optional | TB-1 |
Advanced Nonlinear Dynamics and Chaos | EMATM0001 | 10 | Optional | TB-2 |
Intelligent Information Systems | EMATM0042 | 10 | Optional | TB-2 |
Applied Data Science | COMSM0055 | 20 | Optional | TB-2 |
Probability and Statistics for Seismology and Structural Reliability | CENGM0078 | 20 | Optional | TB-1 |
Learning, Computation and the Brain | COMSM0094 | 10 | Optional | TB-1 |
Innovation, Entrepreneurship and Enterprise | INOVM0015 | 20 | Optional | TB-1 |
Advanced Topics in Mechanical Engineering | MENGM0059 | 20 | Optional | TB-4 |
Infrastructure Systems Management | CENGM0072 | 20 | Optional | TB-4 |
Applied Data Science (Teaching Unit) | COMS30050 | 0 | Optional | TB-2 |
Stochastic Optimisation | MATHM0044 | 20 | Optional | TB-1 |
Smart Cities and Infrastructure | CENGM0081 | 20 | Optional | TB-1 |
Mathematics of Movement | EMATM0064 | 10 | Optional | TB-2 |
Quantum Information Theory | MATHM0047 | 20 | Optional | TB-2 |
Please note that you cannot select EMATM1120 if you have previously studied EMAT30015. | ||||
Engineering Mathematics (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.
University of Bristol,
Senate House,
Tyndall Avenue,
Bristol, BS8 1TH, UK
Tel: +44 (0)117 928 9000