University home > Unit and programme catalogues in 2023/24 > Programme catalogue > Faculty of Engineering > School of Engineering Mathematics and Technology > Engineering Mathematics with a year in Industry (BEng) > Specification
Programme code | 4EMAT020U |
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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 |
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 and practical experience through an industrial placement 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 and within an industrial context. 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 and industrial placement. |
Methods of assessment (formative and summative) | |
Formal written examinations (mid-term progress and end of year), written coursework assignments, laboratory and placement reports, presentations and a reflective journal. |
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, group case-study exercises and industrial placement. 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, technical and placement reports and a reflective journal. Many transferable skills are assessed through informal and formal presentations. |
Programme Intended Learning Outcomes | Learning/teaching methods and strategies |
---|---|
|
Practical, professional and transferable skills are developed through lectures, examples classes, laboratory experiments, computing labs, group case-study exercises and industrial placement. 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, technical and placement reports and a reflective journal. 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 |
At level 4 will be have sound knowledge of basic engineering mathematics, discrete mathematics, programming and general engineering |
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Level I/5 - Intermediate |
Level 5 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 |
Level 6 students will firstly undertake a year long industrial placement. Following the placement year students will be allowed 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. |
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.
Undergraduate Students
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.
Postgraduate Students
Taught postgraduate students are generally studying for one academic year. This is a longer year than for undergraduates, normally culminating in a research project. In a one-year full-time programme your workload will be distributed as evenly as possible, but this will depend on the precise arrangements for your programme. You will be expected to take responsibility for your own learning, guided by the feedback on your work that you will receive.
All students
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, problem-solving classes 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.
UG Professional Programmes in the Faculty of Health Sciences
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-curricula activities. This is usually not available in later years of professional programmes as when a student progresses through their curriculum 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. There may also be an occasional need to work or travel to clinical placements at the weekend. 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 information. Another important point to note is that many of the assessments sit outside the standard University examination timetable and are likely to be more frequent, meaning that students will need to engage in revision activities and self-directed learning (including when on clinical placements).
Health Sciences Assessment Statement
Please select the following link for a statement about assessment in the Faculty of Health Sciences. This is University of Bristol access only.
https://www.bristol.ac.uk/media-library/sites/health-sciences/chse/documents/FHS%20Assessment%20and%20Feedback%20statement%202021.pdf
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
Unit Name | Unit Code | Credit Points | Status | |
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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 |
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 |
Principles of Physical Modelling | EMAT20013 | 20 | Mandatory | TB-1 |
Principles of Computational Modelling | SEMT20001 | 20 | Mandatory | TB-2 |
Data Science and Applied Statistics | SEMT20002 | 20 | Mandatory | TB-1 |
Methods of Artificial Intelligence | SEMT20003 | 20 | Mandatory | TB-2 |
Diploma of Higher Education | 120 |
Unit Name | Unit Code | Credit Points | Status | |
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Year in Industry | EMAT30011 | 120 | Mandatory | AYEAR |
120 |
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