Advanced Computer Science (2023)
1. Programme Title:Advanced Computer Science |
NQF Level: |
7 |
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2. Description of the Programme (as in the Business Approval Form) |
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This is an advanced Masters programme, linked to internationally leading research in Computer Science. It focuses on the latest techniques and technologies, teaching you how to apply these to complex contemporary problems across the breadth of society. You will be able to engage with the latest developments from a range of Computer Science topics with leading academics in the field. Our particular research strengths include artificial intelligence, machine learning, data science, high performance computing and networks, and cyber-security. The MSc has a firm focus on career-oriented postgraduate training, emphasising the team-working skills to enhance your employability and a research project giving you the skills and tools to conduct independent research in academia or commercially. |
3. Educational Aims of the Programme |
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To provide students with advanced knowledge of contemporary problems, techniques and technologies in Computer Science. |
4. Programme Structure |
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The MSc Advanced Computer Science programme is a 1 year programme of study at National Qualification Framework (NQF) Level 7 (as confirmed against the FHEQ). This programme is divided into ‘Stages’. Each Stage is normally equivalent to an academic year. The programme is 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. The programme comprises 180 credits in total. |
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 College web site: http://intranet.exeter.ac.uk/emps/studentinfo/subjects/computerscience/modules/ |
Stage 1
Code | Title | Credits | Compulsory | NonCondonable |
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ECMM453 | Computer Science Research Project | 60 | Yes | Yes |
Select 120 credits: | ||||
ECMM409 | Nature-Inspired Computation | 15 | No | No |
ECMM410 | Research Methodology | 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 |
ECMM445 | Learning from Data | 15 | No | No |
ECMM447 | Social Networks and Text Analysis | 15 | No | No |
ECMM461 | High Performance Computing | 15 | No | No |
COMM510 | Multi-Objective Optimisation and Decision Making | 15 | No | No |
ECM34XX | ECM34xx modules in Computer Science upto 30 credits | 30 | No | No |
ECMM7XX | M-level modules in Mathematics | 15 | No | No |
BEMM129 | Digital Business Models | 15 | No | No |
ECMM462 | Fundamentals of Security | 15 | No | No |
SOCM033 | Data Governance and Ethics | 15 | No | No |
Part time students will follow:
Year 1
You must complete at least 4 modules (60 credits)
Year 2
You must complete at least 4 modules (60 credits) one of which must be ECMM4534 Computer Science Research Proejct.
Students may choose up to 30 credits of NQF Level 7 modules which are not listed above, either from within or outside the College of Engineering, Mathematics and Physical Sciences, subject to approval, timetabling and satisfaction of prerequisites.
Not all modules will be available every year, and new modules may be made available from time to time
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 & Knowledge1) Demonstrate competence in advanced Computer Science methods and their application to practical problems. 2) Demonstrate the ability to work in a team-based software development environment, working for a client. 3) Demonstrate the ability to conduct guided research in Computer Science and construct a substantial dissertation. 4) Show awareness of the social context of computer science. | Learning & Teaching ActivitiesLectures, workshops, seminars, practicals, online materials and formal training. Each module also has core and supplementary texts, or material recommended by module deliverers, which provide in-depth coverage of the subject and go beyond the lectures. | |||
Assessment MethodsThe assessment strategy for each module is explicitly stated in the full module description given to students. Group and team skills are addressed within modules dealing with specialist and advanced skills. Assessment methods will include essays, technical reports, closed book tests, practical exercises in programming and data analysis, project work, and individual and group presentations. | ||||
B Academic Discipline Core Skills & Knowledge5) Critically analyse and interpret relevant academic and technical literature. 6) Demonstrate competence in underpinning mathematical and computational techniques, including linear algebra, probability, calculus, programming and programming tools such as notebooks and integrated development environments. 8) Integrate theory and application. 9) Be able to formulate problems from descriptions by non-Computer Scientists and devise algorithmic solutions to them. 10) Be able to explain Computer Science concepts and solutions to non-Computer Scientists. 11) Be able to organise tasks into a structured form. 12) Appreciate the basic legal, regulatory and professional frameworks in which computer science operates. | Learning & Teaching ActivitiesLectures, workshops, seminars, practicals, online materials and formal training. Each module also has core and supplementary texts, or material recommended by module deliverers, which provide in-depth coverage of the subject and go beyond the lectures. | |||
Assessment MethodsThe assessment strategy for each module is explicitly stated in the full module description given to students. Group and team skills are addressed within modules dealing with specialist and advanced skills. Assessment methods will include essays, technical reports, closed book tests, practical exercises in programming and data analysis, project work and individual and group presentations. | ||||
C Personal / Transferable / Employment Skills & Knowledge13) Effectively communicate methods and results both written reports and oral presentations. 14) Demonstrate awareness of tools and technologies relevant to computer science. 15) Develop a systematic understanding and knowledge of a new domain. 16) Work effectively independently or in a team. | Learning & Teaching ActivitiesLectures, workshops, seminars, practicals, online materials and formal training. Each module also has core and supplementary texts, or material recommended by module deliverers, which provide in-depth coverage of the subject and go beyond the lectures. | |||
Assessment MethodsThe assessment strategy for each module is explicitly stated in the full module description given to students. Group and team skills are addressed within modules dealing with specialist and advanced skills. Assessment methods will include essays, technical reports, closed book tests, practical exercises in programming and data analysis, project work and individual and group presentations. |
7. Programme Regulations |
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Credit Postgraduate (PG) Programmes: The programme consists of 180 credits, with 90 credits taken at each stage where the programme is offered part time over 2 years and 60 credits taken at each stage where the programme is offered part time over 3 years. In total, participants must take at least 180 credits at NQF level 7. The pass mark for award of credit in PG modules (NQF level 7) is 50%. 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. Postgraduate (PG) Programmes: Up to (45/30/20) credits of failure can be condoned on the following conditions:
Assessment and Awards The award will normally be based on at least 180 credits of which 150 or more must be at NQF level 7 Classification The marking of modules and the classification of awards broadly corresponds to the following marks: Undergraduate Degrees Postgraduate Degrees Class I 70% + Distinction 70%+ Class II Division I 60-69% Merit 60-69% Class II Division II 50-59% Pass 50-59% Class III 40-49% Full details of assessment regulations for UG programmes and PGT programmes assessment regulations 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 College has 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 College 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. Candidates must satisfy the general admissions requirements of the University of Exeter Candidates will be required to have at least a 2:1 degree in a numerate subject, usually Computer Science or a closely related discipline, and must be able to show evidence of good programming and software development ability in recognised modern computer languages. Candidates may be interviewed by Skype or similar to assess their programming ability and suitability for the course.
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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) | MSc | |
19 | UCAS Code (UG programmes) | compmsc | |
20 | NQF Level of Final Awards(s): | 7 | |
21 | Credit (CATS and ECTS) | 180 (90 ECTS) | |
22 | QAA Subject Benchmarking Group (UG and PGT programmes) | Data Science |
23 | Origin Date | February 8th 2023 | Last Date of Revision: | September 19th 2023 |
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