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M.Sc. Business Intelligence and Analytics


3 SEM
English
Yes
University of Westminster
London, United Kingdom
University of Westminster 309 Regent Street London W1B 2HW
About
Modules/Topics

This course addresses the need to propel information-gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision-making. The course, which builds on the strength of two successful courses on data mining and on decision sciences, is more technology focused, and stretches the data mining and decision sciences theme to the broader agenda of business intelligence. You will focus on developing solutions to real-world problems associated with the changing nature of IT infrastructure and increasing volumes of data, through the use of applications and case studies, while gaining a deep appreciation of the underlying models and techniques. You will also gain a greater understanding of the impact technological advances have on nature and practices adopted within the business intelligence and analytics practices, and know how to adapt to these changes.

Big Data Theory and Practice;

Business Analytics;

Data Mining and Machine Learning;

Business Systems;

Advanced Big Data Analytics;

Business Optimisation;

Data Visualisation and Dashboarding;

Data Warehousing and OLAP;

Data Repositories Principles and Tools;

Simulation Modelling;

Web and Social Media Analytics;

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