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
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.
Embedded into the course are two key themes. The first will help you to develop your skills in the use and application of various technologies, architectures, techniques, tools and methods. These include warehousing and data mining, distributed data management, and the technologies, architectures, and appropriate middleware and infrastructures supporting application layers. The second theme will enhance your knowledge of algorithms and the quantitative techniques suitable for analysing and mining data and developing decision models in a broad range of application areas. The project consolidates the taught subjects covered, while giving you the opportunity to pursue in-depth study in your chosen area.
Teaching approaches include lectures, tutorials, seminars and practical sessions. You will also learn through extensive course work, class presentations, group research work, and the use of a range of industry standard software such as R, Python, Simul8, Palisade Decision Tools, Hadoop and Oracle. Taught modules may be assessed entirely through course work, or may include a two-hour exam at the end of the year.
The University of Westminster provides practical, rounded education so that people from every background can realise their true potential.
We foster innovation and creativity, informed by professional practice and inspired by research. Through close links with industry, professional practice and academia in London, overseas and across the world, the University of Westminster creates rewarding connections between research, teaching and enterprise.
The University Westminster is home to over 19,000 students, from 165 different countries and one in four students is studying at a postgraduate level. Here, students are able to develop their knowledge through quality assured, professionally-recognised postgraduate courses and research degrees.
Located in the heart of London, the University of Westminster works with many global, market-leading companies.
Where you'll study
115 New Cavendish Street
CITY OF WESTMINSTER