Mathematical Sciences (Energy Systems and Control) (2019)
1. Programme Title:Mathematical Sciences (Energy Systems and Control) |
NQF Level: |
7 |
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2. Description of the Programme (as in the Business Approval Form) |
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The modern application of mathematics operates at the interface of multiple disciplines, and integrates data analysis, computer science, and statistics. The explosion of ‘big data’, in sectors including on-line consumer behaviour, genome sequencing, eHealth, and smart energy systems, necessitates an urgent need for mathematicians who can handle complex datasets, communicate effectively, and fully understand the techniques, pitfalls, and potential of advanced mathematical methods. BSc Mathematical Sciences combines traditional mathematics subjects with advanced courses in statistics, programming, and data science. This will prepare you for the array of numerate and analytical professions that are found at the core of both modern research and the digital economy. There is an outward facing approach to mathematics with options available in business, ecology, engineering, environmental science, politics and social science. On completion of the programme, you will have a deep understanding of the techniques and methods of modern mathematical sciences, and a clear insight into the industrial and scientific areas in which they are applied. Delivered at the University of Exeter’s Penryn Campus and drawing on the close links between disciplines, this programme will foster communication with a number of key scientific and societal challenges. Building on rigorous mathematical and statistical training, innovative teaching and learning is organised around a theme of data science modules. Interdisciplinary Mathematics modules in years 1 and 2 use class-room based “mathematical investigations” to address questions and issues in environmental science, ecology and clean energy. Interdisciplinary Mathematics in Year 1 includes professional skills and a short work placement. A work placement module in year 3 allows you to continue development of key employability skills. The programme is not meant to compete with high-intake mathematics programmes. Instead a modest intake of 40-50 per year across the suite of Mathematical Sciences programmes will foster a strong, positive, and personalised identity for your cohort, and allow you to flourish. |
3. Educational Aims of the Programme |
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The programme has three key intentions: (1) to provide you with rigorous training in the mathematical sciences; (2) to immerse you in key past and current scientific discoveries and technological developments within a context of ecology, environmental science, health and clean technology; and (3) to provide you with a wide range of learning opportunities relevant to commerce, industry and society, facilitated through a comprehensive tutorial support system, that will give you a distinctive advantage in employability. Rigorous training in mathematics is provided by a core of mathematics and statistics modules in years 1 and 2 and advanced options in year 3. This rigorous training will build up your analytical skills in calculus, matrix algebra and statistics, together with advanced computer programming skills, leading on to modern mathematical and computational modelling. The development of your mathematical skills is dovetailed with modules in Data Science – Scientific Computing 1 & 2, Data Signals and Systems, and Data Analytics & Machine Learning - which together form a spine for the programme across the three years of study, as well as two Interdisciplinary Mathematics modules that embrace the programme’s ethos of learning and using mathematics. The data science modules showcase the modern application of mathematics and statistics in an emerging and increasingly important discipline. The expert-led Interdisciplinary Mathematics modules develop mathematical and interdisciplinary approaches to, and understanding of, key applications areas in ecology, engineering and environmental science. Employability skills are developed within the Interdisciplinary Mathematics and Work Placement modules. Project work, with possible dual supervision between mathematics and applications, links the development of rigorous mathematics with the needs of end-users from across many scientific disciplines, business and the public sector. Optional modules from ecology, renewable energy, policy and social science will give you the opportunity to apply mathematical skills to a diverse range of key scientific and technological challenges. The mix of rigorous training in mathematics, an understanding of the “big data revolution”, extensive engagement with a diverse range of end-users and stakeholders, study of options across various areas of applications and development of a personal portfolio through interaction with tutors will ensure that you have maximal opportunity to develop and enhance your employability. The final year of the programme focuses on the application of mathematics in the emerging area of clean energy and has an industrial placement as a key component. |
4. Programme Structure |
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The MSci Mathematical Sciences (Energy Systems and Control) programme is a 4 year programme of study at National Qualification Framework (NQF) level 7 (as confirmed against the FHEQ). This programme is divided into 4 ‘Stages’. Each Stage is normally equivalent to an academic year. The programme is also divided into units of study called ‘modules’ which are assigned a number of ‘credits’. The credit rating of a module is proportional to the total workload, with 1 credit being nominally equivalent to 10 hours of work. After stage 2 assessments are completed and before stage 3 starts, you will undertake a work placement. The aim of the work placement is for you to gain exposure of, and experience in, applying mathematical sciences skills to real world problems. To comply with the assessment requirements of the 15 credit work placement module the placement should be of a duration of 4-6 weeks. You are primarily responsible for securing and organising the placement, with assistance from the College. Whilst a work placement may involve working with a local or national company, an equally valid work placement could be to work in a research group on the Penryn Campus outside of mathematical sciences. A report on the work placement is prepared, submitted and assessed as part of the Stage 3 curriculum.
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5. Programme Modules |
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Stage 1
| Code | Title | Credits | Compulsory | NonCondonable |
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| ECM1901 | Calculus and Geometry | 15 | Yes | Yes |
| ECM1902 | Vectors and Matrices | 15 | Yes | Yes |
| ECM1905 | Advanced Calculus | 15 | Yes | Yes |
| ECM1906 | Dynamics | 15 | Yes | No |
| ECM1909 | Probability and Statistics | 15 | Yes | Yes |
| ECM1913 | Fundamentals of Interdisciplinary Mathematics with Professional Skills | 15 | Yes | No |
| ECM1914 | Scientific Computing 1 | 15 | Yes | Yes |
| ECM1916 | Puzzles, Paradoxes and Paradigms | 15 | Yes | No |
Stage 2
| Code | Title | Credits | Compulsory | NonCondonable |
|---|---|---|---|---|
| ECM2902 | Linear Algebra | 15 | Yes | Yes |
| ECM2903 | Differential Equations | 15 | Yes | No |
| ECM2906 | Data, Signals and Systems | 15 | Yes | No |
| ECM2907 | Statistical Modelling | 15 | Yes | No |
| ECM2912 | Advanced Interdisciplinary Mathematics | 15 | Yes | No |
| Select 45 Credits (include 15 credits from a non-mathematics module): | ||||
| ECM2913 | Scientific Computing 2 | 15 | No | No |
| ECM2908 | Vector Calculus and Applications | 15 | No | No |
| CSM2*** | Elective Option(s) within Clean Energy - up to 45 credits | 45 | No | No |
| ******* | Elective Option (s) - up to 45 credits | 45 | No | No |
You may choose up to 45 credits of modules from the Elective List subject to approval, timetabling and satisfaction of prerequisites. You would typically choose at least one option from the elective modules CSM2*** within Clean Energy.
Standard progression to Stage 3 of the MSci Mathematics Sciences (Energy Systems and Control): You will have passed all 120 credits of Stage 2 modules each with an overall mark of 40% or higher, and will normally have gained a stage average of 60% or higher. If you have not met this threshold you may be required to progress to stage 3 of the BSc Mathematical Sciences programme.
Stage 3
| Code | Title | Credits | Compulsory | NonCondonable |
|---|---|---|---|---|
| ECM3902 | Work Placement | 15 | Yes | No |
| ECM3903 | Mathematical Sciences Project | 15 | Yes | Yes |
| Select between 45 and 90 credits: | ||||
| ECM3901 | Data Analytics and Machine Learning | 15 | No | No |
| ECM3904 | Advanced Statistical Modelling | 15 | No | No |
| ECM3906 | Graphs, Networks and Algorithms | 15 | No | No |
| ECM3907 | Dynamical Systems and Control | 15 | No | No |
| ECM3908 | Partial Differential Equations | 15 | No | No |
| ECM3909 | Mathematics of Climate Change | 15 | No | No |
| You can select up to 45 credits from Elective modules: | ||||
| ENE3*** | Elective Option(s) within Clean Energy - up to 45 credits | 45 | No | No |
| ******* | Elective Option(s) - up to 45 credits | 45 | No | No |
You may choose up to 45 credits of modules from the Elective List subject to approval, timetabling and satisfaction of prerequisites.
Stage 4
| Code | Title | Credits | Compulsory | NonCondonable |
|---|---|---|---|---|
| ECMM901 | Research Project | 45 | Yes | Yes |
| ECMM903 | Computational Modelling and Simulation | 15 | Yes | No |
| ECMM909 | Control and Optimisation | 15 | Yes | No |
| ECMM906 | Industrial Placement Project | 30 | Yes | Yes |
| Select 15 credits from Elective Modules: | ||||
| CSMM404 | Advanced Marine Renewable Energy | 15 | No | No |
| CSMM415 | Advanced Wind Energy | 15 | No | No |
| ******* | Elective Option - 15 credits | 15 | No | No |
You may choose up to 30 credits of modules from the Elective List subject to approval, timetabling and satisfaction of prerequisites.
6. Programme Outcomes Linked to Teaching, Learning & Assessment Methods |
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| On successfully completing the programme you will be able to: | Intended Learning Outcomes (ILOs) will be accommodated & facilitated by the following learning & teaching and evidenced by the following assessment methods: | |||
A Specialised Subject Skills & Knowledge
1. use the terminology and conventions of mathematics; | Learning & Teaching Activities
1. and 2. are mostly covered through formal contact in lectures supported by regular problem sheets which provide formative technical exercises for students to tackle on their own; | |||
Assessment Methods
1. written exams and assessed coursework; | ||||
B Academic Discipline Core Skills & Knowledge
6. explain your reasoning systematically and logically; | Learning & Teaching ActivitiesAll these ILO's are an essential part of the understanding of mathematics, are embedded throughout core elements of the programme, and are intrinsic to good performance in the programme. They are developed through formal lectures, tutorials, coursework, computer practicals, use of IT and private study. ILO's 6-10 are dealt with through formative problem sheets. ILO's 11, 12 and 13 are developed in the modules ECM1913 and ECM1914 and are reinforced in ECM2907, ECM2912, ECM2913, ECM3901, ECM3902 and ECMM906. ILO 14 is developed in ECM1913, ECM2912 and ECM3902 and in optional applied modules from Ecology, Environmental Science and Engineering. The stage 3 and 4 projects ECM3903 and ECMM901 develop all ILOs (6-15). | |||
Assessment Methods
6-10. by coursework and exams; | ||||
C Personal / Transferable / Employment Skills & Knowledge
16. use a range of IT software including standard and mathematical word-processing applications and computational packages such as R and MATLAB and relevant specialist packages (e.g. OpenFOAM for CFD work); | Learning & Teaching ActivitiesILO 16 is developed through use of the mathematical computing packages in core Stage 1 modules and across a wide variety of options in Years 2, 3 and 4. ILO 17 is developed in various core components of the programme, especially in the Interdisciplinary Mathematics modules (ECM1913 and ECM2912), in Project work (ECM3903 and ECMM901) and the Work Placement module (ECM3902) and the Industrial Placement module (ECMM906). Presentation to non-mathematicians is further developed in the applied modules. ILO's 18 and 19 are intrinsic to successful completion of the programme. ILO 20 is developed in modules ECM1913, ECM1916, ECM2906, ECM2912, ECM3902, ECM3903, ECMM901 and ECMM906. ILO's 17, 19 and 21 are integral to the compulsory project. Development of ILO 22 is integral to the programme as a whole, and is developed especially in modules ECM1913, ECM3902 and ECMM906. | |||
Assessment Methods
16. in assessed computer work; | ||||
7. Programme Regulations |
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Credit
The programme consists of 480 credits with 120 credits taken at each stage. Normally not more than 75 credits would be allowed in any one term. In total, students normally take no more than 150 credits at level 4, and must take at least 210 credits at level 6 or higher of which at least 120 must be at level 7. The pass mark for award of credit in an individual module is 40% for modules taken at NQF Levels 4, 5 and 6 and 50% for modules taken at Level 7.
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8. College Support for Students and Students' Learning |
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Personal and Academic tutoring: It is University policy that all Colleges should have in place a system of academic and personal tutors. The role of academic tutors is to support you on individual modules; the role of personal tutors is to provide you with advice and support for the duration of the programme and extends to providing you with details of how to obtain support and guidance on personal difficulties such as accommodation, financial difficulties and sickness. You can also make an appointment to see individual teaching staff. |
10. Admission Criteria |
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All applications are considered individually on merit. The University is committed to an equal opportunities policy with respect to gender, age, race, sexual orientation and/or disability when dealing with applications. It is also committed to widening access to higher education to students from a diverse range of backgrounds and experience. Candidates must satisfy the general admissions requirements of the University of Exeter. Entry requirements for this programme can be found on the Undergraduate Study Page. International students should check details of our English language requirements and may be interested in our Foundation programmes.
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11. Regulation of Assessment and Academic Standards |
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Each academic programme in the University is subject to an agreed College assessment and marking strategy, underpinned by institution-wide assessment procedures. The security of assessment and academic standards is further supported through the appointment of External Examiners for each programme. External Examiners have access to draft papers, course work and examination scripts. They are required to attend the Board of Examiners and to provide an annual report. Annual External Examiner reports are monitored at both College and University level. Their responsibilities are described in the University's code of practice. See the University's TQA Manual for details.
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12. Indicators of Quality and Standards |
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Certain programmes are subject to accreditation and/or review by professional and statutory regulatory bodies (PSRBs).
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| 14 | Awarding Institution | University of Exeter | |
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| 15 | Lead College / Teaching Institution | College of Engineering, Mathematics and Physical Sciences | |
| 16 | Partner College / Institution | ||
| 17 | Programme accredited/validated by | ||
| 18 | Final Award(s) | MSci (Hons) | |
| 19 | UCAS Code (UG programmes) | GF16 | |
| 20 | NQF Level of Final Awards(s): | 7 | |
| 21 | Credit (CATS and ECTS) | 480 (240 ECTS) | |
| 22 | QAA Subject Benchmarking Group (UG and PGT programmes) | Mathematics | |
| 23 | Origin Date | July 10th 2018 | Last Date of Revision: | August 1st 2019 |
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