Data Mining

University of Westminster
London, United Kingdom

Course Format: Classroom | E-learning | Virtual Class | Online | On-site | Blended | Self-paced

Course Description:

'' The course has been designed to address the need to propel information gathering and data organisation and to discover hidden patterns and trends in large, and possibly distributed, databases. It focuses on the development of solutions to real-world problems through the use of applications and case studies, while providing a deep appreciation of the underlying models and techniques.

Course Content
You will be exposed to the entire data mining process; emphasis, however, will be on the discovery or modelling phase. You will apply techniques such as decision trees, logistic regression, neural networks, association rules, and cluster analysis in relation to areas such as customer relationship management, fraud detection, drug prescription, and public health planning and surveillance. You will also gain strong exposure to state-of-the-art software such as SAS Enterprise Miner, Microsoft SQL Server 2005 Analysis Services, Oracle Data Mining Suite.

Core modules
Data Warehousing and Data Mining
Database Languages
Postgraduate Project Preparation and Planning
Postgraduate Project
Statistical Data Mining
Statistical Modelling
plus either Data Mining Applications or Text Mining

Options, choose from
Business Dynamics and Strategic Modelling
Distributed Systems Programming
Enterprise Resource Planning
Management Accounting and Financial Modelling
Medical Statistics and Experimental Design
Multivariate Statistics and Marketing Decision Support
Operational Research Techniques
Free Choice Module

Teaching and Assessment
Teaching involves a variety of approaches, including coursework, to improve your analytical and problem solving skills, usage of industry standard software tools, presentation and academic writing as part of the assignments (through which transferable skills are developed), group work, and research methods involving the use of library and Internet sources to develop your research and analysis skills.

Taught modules may be assessed entirely through coursework, or include a component that normally takes the form of a two-hour exam at the end of the year. The coursework component of a module�assessment profile may include a number of short phase tests taken during the semester in which the module is offered.

Associated Careers
Graduates will find employment as consultants or advanced data analysts, or as members of technical/analytics teams supporting the decision making of middle and top management in organisations of different sizes operating in diverse sectors, including finance, marketing, and healthcare. They will be expected to work in public limited companies (such as Prudential, Abbey, Glaxo-Wellcome, Unilever), retail head offices, the BBC, public sector organisations such as the NHS and primary care trusts, civil service departments and local councils, as well as in the host of banks, brokers and regulators that make up the City, along with all the specialist support consultancies in IT and market research and forecasting, all of whom use data for the full range of decision making.

Entry Requirements
The course is aimed at those with a good Honours degree in a discipline with a significant quantitative and information technology element such as engineering and economics, and will be of particular interest to those with a mathematics or statistics degree. It will also appeal to operational, business, information and data analysts wishing or needing to strengthen their skills in extracting useful information from the increasing amount of data they are exposed to.
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Phone:+44 (0)20 7911 5000

School Address:

Headquarters Building, 309 Regent Street London W1B 2UW, UK


Jobs & Resumes: London
Houses & Roommates: London

Tourism Management
Oracle
Software Engineering
Business Psychology
Chinese Herbal Medicine
Cluster and Grid Computing
Computer Animation
Computer Forensics
Computer Networks and Communications
Computer Games Programming
Database
DSP for Multimedia Communications
e-Commerce
E-Business
European Logistics, Transport and Distribution
Facilities Management
Finance and Accounting
Health Psychology
Information Quality

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