MSc in Business Intelligence and Analytics
The MSc in Business Intelligence and Analytics is validated by the University of Westminster (UK) in November 2019. This course is one of most popular postgraduate courses in contemporary international higher education market and takes you to the world of modern data science that addresses the business need to advance data organisation and information gathering, go insight into information and exploit knowledge hidden in routinely collected data in order to improve decision-making. The course is more technology focused, and stretches the data-mining and decision-sciences theme to the broader agenda of business intelligence.
The graduates may also pursue further research career exploiting doctorate study opportunities provided by WIUT, the University of Westminster or at other higher education institutions in Uzbekistan or internationally.
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Thinking in a systematic and methodological way about Business Intelligence & Analytics issues;
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Utilising their problem-solving skills and their knowledge of various techniques, tools and methods, to deliver Business Intelligence & Analytics solutions to a wide range of problems;
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Creating models and deploying appropriate software tools that satisfy specified requirements, and testing their use in a target domain;
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studying the context within which the design of Business Intelligence & Analytics takes place, i.e. as part of the range of strategic, managerial and operational activities involved in the gathering, processing, storage and distribution of information;
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Identifying the security and legal implications of Business Intelligence & Analytics applications, e.g. Customer Relations Management (CRM);
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Independent in-depth analysis of a chosen topic making use of information resources outside a teaching environment.
Entry requirements
Applicants should normally hold an Undergraduate degree (or equivalent) from a recognised higher education institution with a minimum of a second lower class honours (2:2 or equivalent). Applicants without a formal HE qualification or the formal qualification is not at the equivalent academic standard, may be considered if the following conditions apply.
- They are or have been in employment where their employed role is in the area of the course and involves a high level of analysis and critical thinking. If so such candidates will be required to provide evidence of such employment, its nature and level. This evidence will be considered at Interview and the decision of the panel (see below) will be final.
Core Modules
The module discusses how to manage the volume, velocity and variety of Big Data, SQL and non-SQL databases, and it touches on issues related to data governance and data quality. The module will also introduce students to data science tools and technologies such as Python, Matlab, Apache Spark, JavaScript Amazon AWS Machine Learning and MS Azure Machine Learning as well as to private and sensitive data management approaches and open data framework.