University home > Unit and programme catalogues in 2022/23 > Programme catalogue > Faculty of Engineering > School of Engineering Mathematics and Technology > Engineering Mathematics (MEng) > Specification
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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) |
This section sets out why studying this programme is important, both in terms of inspiring you as an individual and in considering the challenges we face. It describes how this degree programme contributes to:
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:
The learning outcome statements shown below for your programme have been developed with reference to relevant national subject benchmarks (where they exist), national qualification descriptors (see the Framework for Higher Education Qualifications) and professional body requirements.
Teaching, learning and assessment strategies are listed to show how you will be able to achieve and demonstrate the learning outcomes.
This programme provides opportunities for you to develop and demonstrate knowledge and understanding, qualities, skills and other attributes in the following areas:
Programme Intended Learning Outcomes | Learning/teaching methods and strategies |
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|
Formal lectures, demonstration classes, practical laboratories, computing laboratories, modelling seminars, guided reading, computer aided self- assessment. |
Methods of assessment (formative and summative) | |
Formal written examinations (mid-term progress and end of year), written coursework assignments, laboratory reports. |
Programme Intended Learning Outcomes | Learning/teaching methods and strategies |
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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 (formative and summative) | |
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/teaching methods and strategies |
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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 (formative and summative) | |
Practical skills are assessed through laboratory notebooks, programming exercises, and technical reports. Many transferable skills are assessed through informal and formal presentations. |
This section describes what is expected from you at each level of your programme. This illustrates increasing intellectual standards as you progress through the programme. These levels are mapped against the national level descriptors published by the Quality Assurance Agency.
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. |
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.
UG Workload Statement
Success as an undergraduate student depends on you being able to make the transition to self-motivated, independent learning. Programmes are designed to assist you in this development, in many cases by starting with units in which timetabled teaching, such as lectures and practical classes, provides the foundations of knowledge and skills in a subject, moving on to individual research-based work. Over time you will be expected to take increasing responsibility for your own learning, guided by the feedback on your work that you will receive. At the heart of your studies at every level there must be regular and disciplined individual reading, reflection and writing and it is this skill of independent studies, above all others, that will serve you best when you leave the University.
Most programmes use credits and a 20 credit unit broadly equates to about 200 hours of student input. This includes all activities related to the teaching, learning and assessment of taught units.
A component of this is the time that you spend in class, in contact with the teaching staff, which includes activities such as lectures, laboratories, tutorials and fieldwork. Some of this activity may be online and could consist of activity that is synchronous (using real-time environments such as Blackboard Collaborate) or asynchronous (using tools such as tutor moderated discussion forums, blogs or wikis).
In some programmes there are field courses and/or placements that will take place in concentrated periods of time.
Outside scheduled activities you are expected to pursue your own independent learning 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.
We recognise that many students undertake paid employment. To achieve a sensible balance between work and study, you are advised to undertake paid work for no more than 15 hours per week in term-time.
Professional Programmes
Many undergraduates in the Faculty of Health Sciences will be following the professional programmes of:
For these professional programmes, full time attendance is compulsory unless absence is formally approved. Academic activities are timetabled throughout the 5-day week and student workload is around 40 hours per week on average. Where possible, students in the early years are permitted Wednesday afternoons for sport and extra-curriculum activities. This may not be available in later years of professional programmes as when a student progresses through the curricula there is an increasing exposure to clinical and professional activities. Students in clinic or on placements may need to stay later than core times of 08.00 – 18.00 or even overnight to observe out-of-hours activities. This increasing exposure to clinical activities means that students on these professional programmes often have longer term dates than the University standard. Individual years within programmes are likely to vary in length (for example because of the timings of placements) and further information on this will be found in individual programme regulations. Another important point to note is that many of the assessments sit outside of the standard University examination timetable and are likely to be more frequent meaning that students will more oftentimes be engaged in revision activities and self-directed learning.
Faculty of Health Sciences
Faculty Assessment and Feedback Statement for Undergraduate Students. University of Bristol access only.
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 Masters programme has been designated as type III: Professional or Practice Masters in accordance with the QAA Degree Characteristics Statement. 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 1 | EMAT10100 | 20 | Mandatory | TB-4 |
Discrete Mathematics | EMAT10704 | 20 | Mandatory | TB-4 |
Mathematics and Data Modelling 1 | EMAT10008 | 20 | Mandatory | TB-4 |
Engineering Science | MENG10004 | 40 | Mandatory | TB-4 |
Introduction to Computer Programming | EMAT10007 | 10 | Mandatory | TB-1 |
Further Computer Programming | EMAT10006 | 10 | Mandatory | TB-2 |
Certificate of Higher Education | 120 |
This integrated Masters programme has been designated as type III: Professional or Practice Masters in accordance with the QAA Degree Characteristics Statement. 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-2 |
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 Physical Modelling | EMAT20013 | 20 | Mandatory | TB-1 |
Select 20 credit points by choosing from the units below: | ||||
Dynamics and Control | MENG20004 | 20 | Optional | TB-2 |
C for Embedded Systems | EENG20004 | 10 | Optional | TB-2 |
Signals and Systems | EENG21000 | 10 | Optional | TB-1 |
Aerospace Dynamics | AENG20008 | 20 | Optional | TB-4 |
Thermofluids | MENG20009 | 20 | 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 the University wide Open Units below: | ||||
Sustainable Development | UNIV10001 | 20 | Optional | TB-2 |
City Futures: Migration, Citizenship, and Planetary Change | UNIV10005 | 20 | Optional | TB-2 |
World in Crisis? | GEOG16001 | 20 | Optional | TB-1 |
Diploma of Higher Education | 120 |
This integrated Masters programme has been designated as type III: Professional or Practice Masters in accordance with the QAA Degree Characteristics Statement. 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 | |
---|---|---|---|---|
Methods of Applied Mathematics | SEMT30006 | 20 | Mandatory | TB-1 |
Methods of Artificial Intelligence | SEMT20003 | 20 | Mandatory | TB-2 |
Mathematical and Data Modelling 3 | SEMT30005 | 40 | Mandatory | TB-4 |
Select one Teaching Block 1 unit from the following list: | ||||
Scientific Computing and Optimisation | SEMT30002 | 20 | Optional | TB-1 |
Computational Neuroscience (Teaching Unit) | SEMT30003 | 0 | Optional | TB-1 |
Computational Neuroscience | SEMT30004 | 20 | Optional | TB-1 |
Applied Solid Mechanics | MENG30011 | 20 | Optional | TB-1 |
Select one Teaching Block 2 unit from the following list: | ||||
Computational Continuum Mechanics | SEMT30001 | 20 | Optional | TB-2 |
Applied Data Science | COMS30051 | 20 | Optional | TB-2 |
Quantum Information Theory | MATH30031 | 20 | Optional | TB-2 |
120 |
This integrated Masters programme has been designated as type III: Professional or Practice Masters in accordance with the QAA Degree Characteristics Statement. 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 |
Students should choose 2 units (40 credits) in Teaching Block 1 and 2 units (40 credits) in Teaching Block 2. Year long units count as Teaching Block 2. | ||||
Select 40 credit points from the following list: | ||||
Robotics Systems UG | EMATM0053 | 20 | Optional | TB-2 |
Data-driven Physical Modelling | SEMTM0007 | 20 | Optional | TB-1 |
Mathematical Modelling for Sustainable Development | SEMTM0008 | 20 | Optional | TB-2 |
Mathematical Modelling in Biology, Medicine and Public Health | SEMTM0009 | 20 | Optional | TB-2 |
Transport and Mobility Modelling | SEMTM0010 | 20 | Optional | TB-1 |
Cognitive Artificial Intelligence | SEMTM0011 | 20 | Optional | TB-1 |
Select an additonal 40 credit points from this list: | ||||
Information Theory and Coding | EEMEM0012 | 20 | Optional | TB-1 |
Product and Production Systems | MENGM0056 | 20 | Optional | TB-1 |
Renewable Energy for a Sustainable Future | MENGM0064 | 20 | Optional | TB-1 |
Smart Cities and Infrastructure | CENGM0081 | 20 | Optional | TB-1 |
Advanced Topics in Mechanical Engineering | MENGM0059 | 20 | Optional | TB-4 |
Wind Energy Systems | AENGM0081 | 20 | Optional | TB-2 |
Asymptotics | MATHM4700 | 20 | Optional | TB-1 |
Robotics Systems UG | EMATM0053 | 20 | Optional | TB-2 |
Data-driven Physical Modelling | SEMTM0007 | 20 | Optional | TB-1 |
Mathematical Modelling for Sustainable Development | SEMTM0008 | 20 | Optional | TB-2 |
Mathematical Modelling in Biology, Medicine and Public Health | SEMTM0009 | 20 | Optional | TB-2 |
Transport and Mobility Modelling | SEMTM0010 | 20 | Optional | TB-1 |
Cognitive Artificial Intelligence | SEMTM0011 | 20 | Optional | TB-1 |
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