Computer Science and Mathematics (2024)
1. Programme Title:Computer Science and Mathematics |
NQF Level: |
7 |
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2. Description of the Programme (as in the Business Approval Form) |
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Mathematics and Computer Science are natural bedfellows. Many mathematical tools and techniques only acquire their full potential in applications when combined with the power provided by computers; conversely, computing itself rests on a solid basis of mathematical theory and application. By studying computer science and mathematics together, you will benefit from the natural synergy between the two subjects to receive a well-rounded education which will place you in an excellent position for a wide range of possibilities for employment or further study. The computing projects in the third and fourth years, in particular, will provide you with experience in designing and developing a substantial piece of software, thereby consolidating the range of computing topics that you have learnt during the previous years. |
3. Educational Aims of the Programme |
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The programme is intended to:
a) provide a high quality general mathematical and computer science education comprising a balanced core of key knowledge together with the opportunity to study a range of selected topics in more depth; |
4. Programme Structure |
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The MSci Computer Science and Mathematics 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. Interim Awards If you do not complete the programme you may be able to exit with a lower qualification. If you have achieved 120 credits, you may be awarded a Certificate of Higher Education, and if you achieve 240 credits, where at least 90 credits are at NQF Level 5 or above, you may be awarded a Diploma of Higher Education . |
5. Programme Modules |
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The following tables describe the programme and constituent modules. Constituent modules may be updated, deleted or replaced as a consequence of the annual programme review of this programme. Details of the modules currently offered may be obtained from the Faculty website. |
Stage 1
Code | Title | Credits | Compulsory | NonCondonable |
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MTH1000 | Foundations | 0 | Yes | No |
ECM1400 | Programming | 15 | Yes | Yes |
ECM1410 | Object-Oriented Programming | 15 | Yes | Yes |
ECM1413 | Computers and the Internet | 15 | Yes | No |
MTH1001 | Mathematical Structures | 30 | Yes | Yes |
MTH1002 | Mathematical Methods | 30 | Yes | Yes |
Select 15 credits | ||||
ECM1414 | Data Structures and Algorithms | 15 | No | No |
COM1011 | Fundamentals of Machine Learning | 15 | No | No |
Stage 2
Code | Title | Credits | Compulsory | NonCondonable |
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ECM2414 | Software Development | 15 | Yes | Yes |
ECM2434 | Group Software Engineering Project | 15 | Yes | No |
Select 30 to 60 credits of Computer Science Options | ||||
ECM2418 | Computer Languages and Representations | 15 | No | No |
ECM2419 | Database Theory and Design | 15 | No | No |
ECM2423 | Artificial Intelligence and Applications | 15 | No | No |
ECM2425 | Mobile and Ubiquitous Computing | 15 | No | No |
ECM2426 | Network and Computer Security | 15 | No | No |
ECM2427 | Outside the box: Computer Science Research and Applications | 15 | No | No |
ECM2433 | The C Family | 15 | No | No |
ECM1417 | Web Development | 15 | No | No |
Select 30 to 60 credits of Mathematics Options | ||||
MTH2003 | Differential Equations | 15 | No | No |
MTH2004 | Vector Calculus and Applications | 15 | No | No |
MTH2008 | Real Analysis | 15 | No | No |
MTH2009 | Complex Analysis | 15 | No | No |
MTH2010 | Groups, Rings and Fields | 15 | No | No |
MTH2011 | Linear Algebra | 15 | No | No |
You may select 0 - 30 credits of Other Options | ||||
MTH1004 | Probability, Statistics and Data | 30 | No | No |
MTH2005 | Modelling: Theory and Practice | 30 | No | No |
******* | Free Choice Elective | 30 | No | No |
EMP2001 | Ambassadors for Science | 15 | No | No |
The free choice (electives) can include modules from any Faculty in the University subject to approval, pre-requisites, timetabling and availability.
MTH2003 is prerequisite for MTH2004 and MTH2005. MTH2008 is prerequisite for MTH2009.
To proceed to Stage 3 of the MSci programme, candidates must normally have achieved a credit weighted average mark in Stage 2 of at least 60%.
Students who do not reach the threshold may progress to Stage 3 of the equivalent BSc programme.
Stage 3
Code | Title | Credits | Compulsory | NonCondonable |
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ECM3401 | Individual Literature Review and Project | 45 | Yes | Yes |
Select 15 to 45 credits of Computer Science Options | ||||
ECM3408 | Enterprise Computing | 15 | No | No |
ECM3412 | Nature Inspired Computation | 15 | No | No |
ECM3420 | Learning from Data | 15 | No | No |
ECM3422 | Computability and Complexity | 15 | No | No |
ECM3423 | Computer Graphics | 15 | No | No |
ECM3428 | Algorithms that Changed the World | 15 | No | No |
ECM3446 | High Performance Computing | 15 | No | No |
Select 30 to 60 credits of Mathematics Options | ||||
MTH3001 | Theory of Weather and Climate | 15 | No | No |
MTH3004 | Number Theory | 15 | No | No |
MTH3006 | Mathematical Biology and Ecology | 15 | No | No |
MTH3007 | Fluid Dynamics | 15 | No | No |
MTH3008 | Partial Differential Equations | 15 | No | No |
MTH3011 | Nonlinear Systems and Control | 15 | No | No |
MTH3013 | Applied Differential Geometry | 15 | No | No |
MTH3019 | Mathematics: History and Culture | 15 | No | No |
MTH3021 | Combinatorics | 15 | No | No |
MTH3022 | Graphs, Networks and Algorithms | 15 | No | No |
MTH3024 | Stochastic Processes | 15 | No | No |
MTH3026 | Cryptography | 15 | No | No |
MTH3030 | Mathematics of Climate Change | 15 | No | No |
MTH3038 | Galois Theory | 15 | No | No |
MTH3039 | Computational Nonlinear Dynamics | 15 | No | No |
MTH3040 | Topology and Metric Spaces | 15 | No | No |
MTH3050 | Functional Analysis | 15 | No | No |
You may select 0 to 30 credits of other options | ||||
EMP3001 | Commercial and Industrial Experience | 15 | No | No |
NSC3009 | Aerosols, Clouds and Climate | 15 | No | No |
XXXXXXX | Free Choice - Upto 30 Credits | 30 | No | No |
Stage 4
Code | Title | Credits | Compulsory | NonCondonable |
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ECMM428 | Individual Research Project | 30 | Yes | Yes |
MTHM010 | Representation Theory of Finite Groups | 15 | No | No |
MTHM014 | Metric Number Theory and Diophantine Approximation | 15 | No | No |
MTHM018 | Dynamical Systems and Chaos | 15 | No | No |
MTHM019 | Fluid Dynamics of Atmospheres and Oceans | 15 | No | No |
MTHM023 | Modelling the Weather and Climate | 15 | No | No |
MTHM028 | Algebraic Number Theory | 15 | No | No |
MTHM029 | Algebraic Curves | 15 | No | No |
MTHM030 | Waves, Instabilities and Turbulence | 15 | No | No |
MTHM031 | Magnetic Fields and Fluid Flows | 15 | No | No |
MTHM036 | Research in Mathematical Sciences | 15 | No | No |
MTHM041 | Analytic Number Theory | 15 | No | No |
MTHM045 | Space Weather and Plasmas | 15 | No | No |
MTHM048 | Ergodic Theory | 15 | No | No |
MTHM052 | Mid-Latitude Weather Systems | 15 | No | No |
NSCM005 | Mathematical Modelling in Biology and Medicine | 15 | No | No |
MTHM062 | Data-driven Analysis and Modelling of Dynamical Systems | 15 | No | No |
MTHM063 | Uncertainty Quantification | 15 | No | No |
Select at least 30 credits: | ||||
ECMM409 | Nature-Inspired Computation | 15 | No | No |
ECMM422 | Machine Learning | 15 | No | No |
ECMM423 | Evolutionary Computation & Optimisation | 15 | No | No |
ECMM424 | Computer Modelling and Simulation | 15 | No | No |
ECMM426 | Computer Vision | 15 | No | No |
ECMM461 | High Performance Computing | 15 | No | No |
COMM510 | Multi-Objective Optimisation and Decision Making | 15 | No | No |
Select between 0 and 30 credits: | ||||
XXXMXXX | Free choice of Level 7 modules | 30 | No | No |
The free choice (electives) can only include modules at NQF Level 7 from any Faculty in the University, subject to approval, pre-requisites, timetabling and availability.
Not all modules will be available each year; options are offered at the discretion of the Faculty.
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 used in mathematics; | Learning & Teaching ActivitiesKnowledge in (1-3) is primarily provided through formal lectures supported by regular problem sheets providing formative technical exercises and computer workshops for students to tackle on their own. Project work is introduced and developed at Stages 1 and 2. At Stage 1 lectures are reinforced by regular tutorial groups in which assistance with, and feedback on, problem sheets is given. At later Stages in the programme students work on set problems by themselves and to seek help when required within office hours of staff. Applications of mathematics, computer science and statistics (4,5) are introduced in various Stage 2 modules and more advanced applications are introduced in Stage 3 options. Modules at Stage 3 encompass an extensive range of the applications of mathematics, computer science and statistics (5). The interplay between the mathematics and computer science is emphasized throughout the programme (6). In Stage 4 students can explore in greater depth a range of specialist modules with strong connections to research conducted in the Faculty (5). The compulsory project at Stage 4 involves substantial elements of computer science, mathematics and the relevant research methodology (6). | |||
Assessment MethodsDirect assessment is through a range of formal written examinations, marked coursework and project work. Marked coursework can take the form of problem sheets (both practical and theoretical), and reports/essays based on directed reading and research. Project work at all levels is assessed through a combination of supervisors reports, formal assessment of final reports and associated software, and presentations. In particular, Level 6 and Level 7 (individual) projects are formally assessed on the basis of final and intermediate reports and literature reviews, together with associated software, a presentation and the supervisor’s report. Peer assessment is used in ECM2413. | ||||
B Academic Discipline Core Skills & Knowledge
1) explain your reasoning systematically and logically; | Learning & Teaching ActivitiesAll these skills, which are an essential part of the understanding of computer science and 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. Skills (9-13) in particular are reinforced in optional modules involving directed reading and seminars, together with project work at Stages 3 and 4. | |||
Assessment MethodsAll these skills are tested indirectly in various core elements of the programme, with (7-11) contributing particularly to the more successful work. They are all assessed in part through written coursework and in part by unseen formal examinations. Skills (1-7) are assessed by a variety of tests, continuous assessment, formal examinations and project work. Skills (8-13) are directly assessed in some optional modules via oral presentation, essays, computer programmes or project reports. | ||||
C Personal / Transferable / Employment Skills & Knowledge
1) use a range of IT software including standard and mathematical word-processing applications and computer algebra software; | Learning & Teaching ActivitiesSkill (1) is developed from Stage 1 through use of the mathematical computing packages in core Stage 1 modules. Skills (1-2) are developed in various other core components of the programme (e.g. oral presentations in Stage 1 tutorials and presentation of project work) and the requirement for submission of word-processed coursework in some assignments in certain modules at Stages 1 and 2. Skill (3) is intrinsic to successful completion of the programme. Skill (5) is developed through project work in Stages 1 and 2. Skill (6) is reinforced through annual self-appraisals with personal tutors. | |||
Assessment MethodsSkills (1-3) are indirectly assessed as part of coursework in core modules and effective use of skills (1-4) will generally enhance performance throughout the programme. Skills (1-5) are more directly assessed at Stage 3 through the requirement to complete at least one of certain specified modules or a project. |
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, participants 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. Progression Condonement is the process that allows you to be awarded credit (and so progress to the next stage or, in the final stage, receive an award), despite failing to achieve a pass mark at a first attempt. You are not entitled to reassessment in condoned credit. Up to 30 credits of failure can be condoned in a stage on the following conditions: You must have registered for and participated in modules amounting to at least 120 credits in the stage. You must pass the modules marked with a 'Yes' in the 'non-condonable' column in the tables above. In Stages 1-3 you must achieve an average mark of at least 40% across the full 120 credits of assessment, including any failed and condoned modules. In the final stage you must achieve an average mark of at least 50% across the full 120 credits of assessment, including any failed and condoned modules. To proceed to Stage 3 of the MSci programme, candidates must normally have achieved at least 2:1 level (60%) over the 120 Stage 2 credits. For MSci candidates who successfully achieve the general progression requirement for the Stage 2 assessment but who do not achieve the requisite credit weighted average mark for progression to Stage 3 of the MSci programme, a recommendation will be made to Faculty Board for transfer to the equivalent 360 credit BSc (Hons) programme (with entry to Stage 3 in the subsequent academic year). Assessment and Awards Assessment at Stage 1 does not contribute to the summative classification of the award. The award will normally be based on the degree mark formed from the credit-weighted average marks for Stages 2 and 3 and 4, combined in the ratio 2:3:4 respectively. Classification The marking of modules and the classification of awards broadly corresponds to the following percentage marks: Class I 70% + Class II Division I 60-69% Class II Division II 50-59% Class III 40-49% Full details of assessment regulations for UG programmes can be found in the Teaching Quality Assurance Manual (TQA) on the University of Exeter website. Generic marking criteria are also published here. Please see the Teaching and Quality Assurance Manual for further guidance. |
8. College Support for Students and Students' Learning |
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In accordance with University policy a system of personal tutors is in place for all students on this programme. A University-wide statement on such provision is included in the University's TQA Manual. As a student enrolled on this programme you will receive the personal and academic support of the Programme Coordinator and will have regular scheduled meetings with your Personal Tutor; you may request additional meetings as and when required. 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. Information Technology (IT) Services provide a wide range of services throughout the Exeter campuses including open access computer rooms, some of which are available 24 hours, 7 days a week. Help may be obtained through the Helpdesk, and most study bedrooms in halls and flats are linked to the University's campus network. Additionally, the Facultyhas its own dedicated IT support staff, helpdesk and computer facilities which are linked to the wider network, but which also provide access to some specialised software packages. Email is an important channel of communication between staff and students in the Faculty and an extensive range of web-based information (see https://intranet.exeter.ac.uk/emps/ ) is maintained for the use of students, including a comprehensive and annually revised student handbook. The Harrison Learning Resource Centre is generally open during building open hours. The Centre is available for quiet study, with four separate rooms that can be booked for meetings and group work. Amongst its facilities, the Learning Resource Centre has a number of desks, four meeting rooms with large LCD screens, and free use of a photocopier. Also available are core set texts from your module reading lists, and undergraduate and MSc projects from the past two years. Online Module study resources provide materials for modules that you are registered for, in addition to some useful subject and IT resources. Generic study support resources, library and research skills, past exam papers, and the 'Academic Honesty and Plagiarism' module are also available through the student portal (http://vle.exeter.ac.uk) Student/Staff Liaison Committee enables students & staff to jointly participate in the management and review of the teaching and learning provision. |
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. |
11. Regulation of Assessment and Academic Standards |
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Each academic programme in the University is subject to an agreed Facultyassessment 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 Faculty and University level. Their responsibilities are described in the University's code of practice. See the University's TQA Manual for details. |
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). |
14 | Awarding Institution | University of Exeter | |
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15 | Lead College / Teaching Institution | Faculty of Environment, Science and Economy | |
16 | Partner College / Institution | ||
17 | Programme accredited/validated by | ||
18 | Final Award(s) | MSci (Hons) | |
19 | UCAS Code (UG programmes) | GG4D | |
20 | NQF Level of Final Awards(s): | 7 | |
21 | Credit (CATS and ECTS) | 480 credits (240 ECTS) | |
22 | QAA Subject Benchmarking Group (UG and PGT programmes) | Computing, Mathematics, Statistics and Operational Research |
23 | Origin Date | February 27th 2024 | Last Date of Revision: | March 21st 2024 |
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