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Data Mining and Knowledge Management – (M.Sc.)

University of East London

School of Computing and Technology
Annual Tuition Fee: ≈ € 6,560 ≈ € 11,950 (non-EEA)
Location: London / United Kingdom / View location on map ▾ Hide location on map ▴
Duration: 12 months Start Date: February, September
Educational Form:
  • Taught
Education Variants:
  • Parttime
  • Fulltime
Languages: English 
0.113541,51.55115

Location of University of East London

The aim of the programme is to provide you with high-quality up-to-date education, at postgraduate level, in Data Mining and Knowledge Management; to enable you to develop a balance of theoretical knowledge, practical skills and experience that will enhance your professional development and future employment in industry as Knowledge Management Systems Developers and / or consultants, or in academia.

As part of this programme you will study Data Mining, Project Management, Knowledge Management Systems and either Global Sustainable ICT Management or Database Systems. A dissertation project is also part of the programme.

MSc in Data Mining and Knowledge Management at UEL
Knowledge is currently considered amongst the most valuable assets of any organization. As organizations evolve and mature in the way they manage information, they seek ways of improving the utilization and reuse of existing knowledge as well as the creation of new knowledge that would provide an edge over their competitors. Data Mining and its associated technologies, amongst other Knowledge Management tools and methodologies, is at the forefront of this corporate battle for seeking and creating knowledge. The need for specialists in those fields and the requirements for continuous training and development are constant. The MSc Data Mining and Knowledge Management at UEL is a unique programme that addresses the need for specialization and continuous development in the above areas.


Contents

The programme is offered in day full-time mode and part-time mode, commencing September or February. The full time mode consists of two 15-week semesters plus a 14-week dissertation project. The part time mode consists of four 15-week semesters plus a 28-week dissertation project.

A full time student will study two 30-credit modules per semester whereas a part time student will study one 30-credit module per semester. For both modes of study the dissertation project may occur during the summer period. It is possible to move from full-time to part-time study and vice-versa to accommodate any external factors such as financial constraints or domestic commitments. However, this may impact on the overall duration of the study period.

Learning environment
This programme utilises a mixture of learning methods that focus on and maximise the student learning experience through:

* A series of lectures and seminars that promote student participation
* A number of tutorial and practical sessions that enforce student learning
* A number of problem solving, individual and group, activities that enhance student understanding and skills
* A series of student based activities such as presentations
* A web-based learning system that supports students in various aspects of their studies

IELTS

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Requirements

Applicants are normally expected to hold a first degree in Computing, Science or Business studies. In the case of non Computing graduates some computing experience or a substantial element of studies should involve information technology related or numerate subjects.

The applicants should hold a British award classification of no less than a lower second class honours (2:2). Alternatively, a degree qualification of a standard equivalent from a recognised university outside the U.K is expected.
Applicants having appropriate professional experience will be considered if they are able to provide a satisfactory outcome based on the process of Assessment of Experiential Learning (AEL). This assessment will be carried out by the School’s AEL committee and a standard fee will be payable dependent upon the time involved in establishing the AEL claim.

Applicants whose first language is not English, and their first degree is not from a University where English is the official teaching language, need to supply evidence of proficiency in English equivalent to IELTS 6.5 or TOEFL 250/600.

Additional Requirements

Minimal degree required: Bachelor's degree
Minimal amount of work experience Not specified

Language Proficiency

IELTS Band: 6.5
Cambridge English: Advanced (CAE): Grade C (Score: 60)
TOEFL Paper-based: 600
TOEFL Computer-based: 250

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You can contact Applicant Enquiries to ask a question about Data Mining and Knowledge Management at University of East London.

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