University home > Unit and programme catalogues in 2017/18 > Programme catalogue > Faculty of Engineering > Department of Engineering Mathematics > Engineering Mathematics (MSc) > Specification
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Programme code | 4EMAT003T |
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Programme type | Postgraduate Taught Degree |
Programme director(s) |
Luca Giuggioli Senior Lecturer
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Faculty | Faculty of Engineering |
School/department | Department of Engineering Mathematics |
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 as meeting the requirements for Further Learning for registration as a Chartered Engineer. Candidates must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to comply with full CEng registration requirements. (http://www.theiet.org/) |
Relevant QAA subject benchmark groups | Engineering (2015) (benchmark statement) |
Mode of study | Full Time |
Programme length | 1 years (full time) |
This programme aims to provide participants with general scientific skills to develop mathematical, computational and statistical tools to analyze large dataset, to model natural and man-made processes, and to provide quantitative predictions and forecasting for real-world problems across the industrial, government and service sectors.
Programme Intended Learning Outcomes | Learning and Teaching Methods |
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Lectures, independent learning, and on-on-one supervisor/student meetings. |
Methods of Assessment | |
Formative assessment via in class tests and exercise sheet. Summative assessment via exams and coursework. |
Programme Intended Learning Outcomes | Learning and Teaching Methods |
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|
Lectures, independent learning, and on-on-one supervisor/student meetings. |
Methods of Assessment | |
Formative assessment via in class tests and exercise sheet. Summative assessment via exams and coursework. |
Programme Intended Learning Outcomes | Learning and Teaching Methods |
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|
Lectures, independent learning, and coursework requiring teamwork. |
Methods of Assessment | |
Formative assessment via in class tests, unmarked coursework and team work. Summative assessment in exams and those units requiring project write-up and the final technical project. |
Statement of expectations from the students at each level of the programme as it/they develop year on year.
Level M/7 - Postgraduate Masters |
This Masters level programme requires that students undertake a major research project. Much of the study undertaken at Masters 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. Students who do not complete the Postgraduate Masters but who have accumulated taught credits will be considered for a Postgraduate Certificate or Postgraduate Diploma as an exit award. |
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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 postgraduate prospectus at http://www.bristol.ac.uk/prospectus/postgraduate/ or contact the relevant academic department.
The Departmental Web Page: http://www.bristol.ac.uk/engineering/departments/engineering-mathematics/
Postgraduate admissions
Department of Engineering Mathematics
University of Bristol
Merchant Venturers Building
Woodland Road
Bristol
BS8 1UB
United Kingdom
Students must meet with the Programme Director in order to establish which study pattern they should follow, according to their academic and industry background. Elective units are available subject to timetabling constraints.
Unit Name | Unit Code | Credit Points | Status | |
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Mathematical and Data Modelling | EMATM0037 | 10 | Mandatory | TB-2 |
Research Skills | EMATM0036 | 20 | Mandatory | TB-4 |
Research Project | EMATM0038 | 60 | Mandatory | AYEAR |
Prescribed, preliminary units: | ||||
All students must complete 30 credits of prescribed, preliminary units. Preliminary units are grouped by 'strand' depending on your undergraduate study background and/or industrial experience and must be agreed in advance with the Programme Director, prior to unit selection deadlines. Students with a Mathematical and Statistical background must complete EMAT31530 and EMAT20920 or EMAT31530 and EMAT30008. Students with an Engineering background must complete EMATM30007 and EMATM0035, and ONE from EMAT33100/EMAT30670/EMAT30010. Students with a Computational Science background must complete EMATM30007 and EMAT30010, and ONE from EMATM0035/EMAT33100/EMAT20920/EMAT30008. The programme director may suggest alternative unit enrolment for students who can demonstrate prior learning, even within their designated strand (for example, EMAT31530/EMAT30670). | ||||
Introduction to Artificial Intelligence | EMAT31530 | 20 | Optional | TB-2 |
Numerical Methods in Matlab | EMAT20920 | 10 | Optional | TB-1 |
Applied Statistics | EMAT30007 | 10 | Optional | TB-2 |
Engineering Mathematics 3 | EMATM0035 | 10 | Optional | TB-1 |
Nonlinear Dynamics and Chaos | EMAT33100 | 10 | Optional | TB-1 |
Optimisation Theory and Applications | EMAT30670 | 10 | Optional | TB-1 |
Partial Differential Equations | EMAT30010 | 10 | Optional | TB-2 |
Scientific Computing | EMAT30008 | 10 | Optional | TB-1 |
All students must choose at least 30 M-level credits from the following, LIST A | ||||
Applied Data Science | COMSM0017 | 10 | Optional | TB-2 |
Advanced Nonlinear Dynamics and Chaos | EMATM0001 | 10 | Optional | TB-1 |
Bio-Inspired Artificial Intelligence | EMATM0029 | 10 | Optional | TB-2 |
Computational Genomics and Bioinformatics Algorithms | EMATM0004 | 10 | Optional | TB-2 |
Control Theory | EMATM2700 | 10 | Optional | TB-2 |
Dynamics of Networks | EMATM0008 | 10 | Optional | TB-2 |
Mathematical Modelling in Physiology and Medicine | EMATM0007 | 10 | Optional | TB-1 |
Delay and stochastic equations in engineering and biology | EMATM0024 | 10 | Optional | TB-1 |
Uncertainty Modelling for Intelligent Systems | EMATM1120 | 10 | Optional | TB-1 |
All students may choose up to 30 M-level credits from the following, LIST B | ||||
Advanced Space Systems | AENGM2400 | 10 | Optional | TB-2 |
Engineering Design for Wind and Marine Power | AENGM3102 | 10 | Optional | TB-1 |
Systems Security | COMSM1500 | 10 | Optional | TB-1 |
Robotics Systems PG | COMSM0012 | 10 | Optional | TB-2 |
Internet Economics and Financial Technology | COMSM0019 | 10 | Optional | TB-1 |
Complex Networks 4 | MATHM6201 | 20 | Optional | TB-2 |
Power Generation for the 22nd Century | MENGM0002 | 10 | Optional | TB-2 |
Biomechanics | MENGM6051 | 10 | Optional | TB-1 |
Sustainable Systems | CENGM0033 | 10 | Optional | TB-1 |
Modern Mathematical Biology | MATHM0014 | 10 | Optional | TB-1A |
Innovation, Entrepreneurship and Enterprise | INOVM0013 | 10 | Optional | TB-1 |
180 |
The pass mark set by the University for any level 7(M) unit is 50 out of 100.
For detailed rules on progression please see the Regulations and Code of Practice for Taught Programmes and the relevant faculty handbook.
All taught masters programmes, unless exempted by Senate, must allow the opportunity for students to exit from the programme with a postgraduate diploma or certificate.
To be awarded a postgraduate diploma, students must have successfully completed 120 credit points, of which 90 must be at level M/7.
To be awarded a postgraduate certificate, students must have successfully completed 60 credit points, of which 40 must be at level M/7.
An award with Merit or Distinction is permitted for postgraduate taught masters, diplomas and certificates, where these are specifically named entry-level qualifications. An award with Merit or Distinction is not permitted for exit awards where students are required to exit the programme on academic grounds. An exit award with Merit or Distinction may be permitted where students are prevented by exceptional circumstances from completing the intended award.
The classification of the award in relation to the final programme mark is as follows:
Award with Distinction*: at least 65 out of 100 for the taught component overall and, for masters awards, at least 70 out of 100 for the dissertation. **Faculties retain discretion to increase these thresholds.
Award with Merit*: at least 60 out of 100 for the taught component overall and, for masters awards, at least 60 out of 100 for the dissertation. Faculties retain discretion to increase these thresholds.
* The MA in Law has separate regulations for awarding distinction and merit.
** For the award of Distinction, the Faculty of Engineering requires at least 70 out of 100 for the taught component overall and, for masters awards, at least 70 out of 100 for the dissertation.
All taught masters programmes, unless exempted by Senate, must allow the opportunity for students to choose, or be required, to leave at the postgraduate diploma or certificate stage.
To be awarded a postgraduate diploma, students must have successfully completed 120 credit points, of which 90 must be at level M/7.
To be awarded a postgraduate certificate, students must have successfully completed 60 credit points, of which 40 must be at level M/7.
Progression to the dissertation stage is normally only permitted on the satisfactory completion of the taught component
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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