Value equivalent. ECTS equivalent. Value

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1 PROGRAMME APPROVAL FORM SECTION 1 THE PROGRAMME SPECIFICATION 1. Programme title and designation MSc in Web Intelligence For undergraduate programmes only Single honours Joint Major/minor 2. Final award Award Title Credit ECTS Any special criteria Value equivalent MSc Web Intelligence The award of an MSc degree is conditional on the student satisfying the credit framework requirements for award and in addition obtaining a weighted average mark of at least 50% over all taught modules (120 credits). 3. Nested awards Award Title Credit Value ECTS equivalent Any special criteria Diploma Certificate Web Intelligence To be awarded PGDip, in addition to satisfying credit framework requirements for this award, a candidate must obtain an overall weighted average mark of 50% for the taught modules (120 credits). Informatics N/A 4. Exit awards Award Title Credit Value Diploma Certificate ECTS Any special criteria equivalent Web Intelligence In addition to satisfying credit framework requirements for this award, a candidate must obtain an overall weighted average mark of 50% (120 credits). Informatics A classified PGCert may be available for students who gain 60 credits as mapped onto the nested award. 5. Level in the qualifications framework M 6. Attendance Mode of attendance Minimum length of programme Full-time Part-time Distance learning X 1 year 1

2 Maximum length of programme 4 years 7. Awarding institution/body King s College London 8. Teaching institution King s College London 9. Proposing department Informatics 10. Programme organiser and contact Details 11. UCAS code (if appropriate) N/A 12. Relevant QAA subject benchmark/ professional and statutory body guidelines 13. Date of production of specification October Date of programme review 2013/ Educational aims of the programme Dr Jeroen Keppens jeroen.keppens@kcl.ac.uk Tel: 1591 Currently there is no subject benchmark for taught postgraduate programmes in Computer Science. This MSc is aimed at graduates in computing (or other relevant science and engineering subjects with prior experience of programming) who wish to obtain specialised training in web intelligence. Specific aims are: To provide students with theoretical knowledge of a range of techniques for developing intelligent software for the web. To provide students with practical knowledge and expertise to enable them to evaluate, design and build intelligent software for the web. To enhance students programming, analytical, critical, problem-solving and transferable skills To prepare students for careers in industry or for further research work. 17. Educational objectives of the programme/programme outcomes The programme provides opportunities for students to develop and demonstrate knowledge and understanding and skills in the following areas: The programme provides a knowledge and understanding of the following: 1. The essential facts, concepts, principles and theories relating to web intelligence. 2. The science and engineering underpinning the above 3. Current research in web intelligence. 4. Appropriate theory and techniques for the design, implementation and evaluation of intelligent web systems. Knowledge and understanding 1 to 3 are acquired through all the courses studied. Knowledge is obtained through lectures, tutorials, practical exercises, projects and via guided reading and private study. 4 is acquired in the same way as for 1 to 3, together with an individual project Testing of knowledge and understanding is through coursework, unseen written 2

3 examinations and project reports. Intellectual skills: 1. Ability to evaluate and compare methodologies for intelligent systems for the web. 2. Ability to understand and analyse problems and identify suitable approaches to solving them. Skills and other attributes Intellectual skills are acquired through lectures, tutorials, practical exercises and project work. 3. Ability to undertake critical evaluation (both theoretical and empirical) of alternative solutions. Intellectual skills are assessed through coursework, unseen written examinations and project reports. 4. Ability to plan, conduct and report on a programme of research and development. 5. Ability to understand, appraise and evaluate the relevant literature. Practical skills: 1. Ability to apply theoretical knowledge to solve practical problems 2. Ability to specify, design and build intelligent web systems using appropriate tools, and to document all stages of this process. 3. Ability to select appropriate methodologies and adapt and improve them as necessary. Practical skills are mainly acquired through examples in lectures, tutorials, practical work and projects. Practical skills are assessed directly through coursework and project reports, and indirectly through unseen written examinations. 4. Ability to critically evaluate the performance of an intelligent web system. Generic/transferable skills: 1. Management of own learning and development, including time management and organisational skills. 2. Ability to work independently on a substantial project. 1 is acquired through the general organisational skill that will be required to successfully complete an MSc course, and through coursework, which is subject to the School s policies on submission. 3. Ability to use appropriate methods for 2 to 4 are acquired through project work. 3

4 literature searching and information retrieval. 4. Ability to critically analyse and evaluate appropriate literature. 5. Technical writing and presentation skills. 6. is acquired through coursework, oral presentations and project reports. 1 is not formally assessed but will be reflected in the student s performance in all forms of assessment. 2 is assessed through the project report. 3 and 4 are assessed, indirectly, through project work and coursework. 5 is assessed through project reports and presentations. 18. Statement of how the programme has been informed by the relevant subject benchmark statement(s)/professional, regulatory and statutory body guidelines Currently there is no subject benchmark for taught postgraduate programmes in Computer Science. The QAA benchmark statement for Computer Science (2007) only cover BEng and MEng programmes, not MSc programmes, but the current programme is compatible with these benchmark statements. 19. Programme structure and award requirements (where relevant the information should also differentiate the particular requirements of pathways within a programme or nested/exit awards) (a) numbers of introductory, core, compulsory and optional modules to be taken in each year of the programme with related credit values 3 modules / 45 credits compulsory 5 modules / 75 credits optional Project (2 modules) / 60 credits core (b) range of credit levels permitted within the programme Level 7 only. (c) maximum number of credits permitted at the lowest level N/A (d) minimum number of credits required at the highest level 180 (e) progression and award requirements (if different from the standard) The award of an MSc degree is conditional on the student satisfying the credit framework requirements for award and in addition obtaining a weighted average mark of at least 50% over all taught modules (120 credits). 4

5 To be awarded PGDip, in addition to satisfying credit framework requirements for this award, a candidate must obtain an overall weighted average mark of 50% for the taught modules (120 credits). The nested PG Diploma or PG Certificate may be awarded, for classified exit award purposes only. (f) maximum number of credits permitted with a condoned fail (core modules excluded) 30 (g) are students permitted to take a substitute module, as per regulation A3, 20.7? Yes (h) other relevant information to explain the programme structure At least one of the two modules marked O* must be taken. Where a student cannot take a module within the programme, including core and compulsory modules, in order to comply with regulation A3 5.7: Unless the programme specification makes explicit provision as part of the requirements of reassessment, a student may not enrol on a module that has already taken and passed at either undergraduate or postgraduate level. Neither may a student enrol for a module that overlaps with another module that the student has already taken and passed. Modules will be deemed to overlap if both the content and the level of complexity of the two modules are similar the affected module will be replaced by an appropriate alternative following the guidance of an appropriate academic, usually the programme leader. 5

6 Programme structure - MSc Web Intelligence (Note: the availability of optional modules may vary slightly from year to year; the following are the modules available at the commencement of the programme) Title Credit Credit Status (I, Cr, Cp, O) for Assessment level value each type of programme Progression Single Joint Major/ minor Single Joint Major/ minor 7CCSMAIN Artificial Intelligence 7 15 Cp No written examination 7CCSMAMS Agents and Multi-Agent Systems 7 15 Cp No written examination 7CCSMSIA Software Engineering of Internet Applications 7 15 Cp No written examination 7CCSMINT The Internet 7 15 O No written examination 7CCSMWAL Algorithmic Issues of the World Wide Web 7 15 O No written examination 7CCSMAPP Access Control and Privacy Policies 7 15 O No Written examination and coursework 7CCSMART Advanced Research Topics 7 15 O No coursework 7CCSMDSM Distributed Systems 7 15 O No written examination 7CCSMLAA Intelligent Systems for Legal & Administrative Applications 7 15 O No written examination 7CCSMCIS Cryptography and Information Security 7 15 O No written examination 7CCSMDAS Software Design and Architecture 7 15 O No written examination 7CCSMPRJ MSc Individual Project 7 60 Cr No coursework 7CCSMGPR Group Project 7 15 O No coursework 7CCSMDBT Database Technology 7 15 O No written examination 7CCSMMUL Multimedia Compression Methods & Systems 7 15 O No written examination 20. Marking criteria The marking follows the College generic criteria and additionally those of the School of Natural and Mathematical Sciences. The award and classification of the degrees are decided in accordance with the requirements of the School Examination Board. 6

7 21. Particular features of the programme which help to reduce the barriers experienced by disabled students and ensure that the programme is accessible to all students who meet the entry requirements Admissions All students in receipt of an offer receive an information booklet on the support services offered by the College. All students receiving offers who have indicated they have a disability in their application receive a letter from the School Disability Adviser with her contact details and offering the applicant the opportunity to discuss their requirements. Publicity and Course Booklets These clearly communicate the key skills that will be required during the programme, the content of each module, the intended teaching methods to be used and module status (core/compulsory/optional). Teaching Methods A wide range of teaching methods are utilised (as demonstrated by box 17). Assessment Advice has been taken from the Equality & Diversity Department to ensure assessment methods do not unfairly discriminate against students with disabilities. The College s Special Examination Assessment Committee (SEAC) considers requests for adjustments to assessment to take account of learning and/or physical disabilities. Module outlines specify the assessment methods that will be used and explain that SEAC will need to be notified about requests for alternative assessment methods. The form that the alternative assessment will take has been specified for each module in advance. Feedback Feedback on the programme is regularly collected from students about their learning experience. The information collected is used towards the on-going development and improvement of the programme. In particular, it has prompted closer working with ISS to ensure that subject resources are offered in a range of alternative formats wherever possible. 7