The Business Intelligence and Analytics course from the University of Westminster, which builds on the strengths 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 the nature and practices adopted within the business intelligence and analytics environments, 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 data 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 coursework, class presentations, group research work, and the use of a range of industry standard software such as SAS, SPSS, iThink, Simul8, MS SQL Server 2005 Analysis Services, and Oracle Data Mining Suite. Taught modules may be assessed entirely through coursework, or may include a two-hour exam at the end of the year.
You can apply until:
Always verify the dates on the programme website.
You can choose to do this programme part-time or full-time.Full-time
You need the following IELTS score:
Minimum required score:
The IELTS – or the International English Language Test System – tests your English-language abilities (writing, listening, speaking, and reading) on a scale of 1.00–9.00. The minimum IELTS score requirement refers to which Overall Band Score you received, which is your combined average score. Read more about IELTS.Book IELTS
StudyPortals Tip: The UK government has confirmed new English-language testing requirements for visa and immigration purposes. Learn more
You are expected to already have quantitative skills, with an interest in developing these further to support postgraduate activity in analysing, evaluating and reporting on a range of real-world data-intensive problems. You will have a suitable Honours degree from a UK university (or equivalent qualification) in a scientific or engineering discipline with some exposure to the use of IT, or in an area of computer science or IT with a strong interest in quantitative analysis.
If you do not have a formal qualification, but you are already in employment, you may be considered if your role involves the data-mining and decision-support techniques and technologies deployed in the course. If your first language is not English you will need also an IELTS score of 6.5, with 6.0 or above in each element, or equivalent.
StudyPortals Tip: Students should consider taking one of the Pre-Master's below. these courses will be necessary if:
Part time:Price per 20-credit module.
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
From September 2016, Student Finance England (SFE) are introducing a loan of up to £10,000 for students starting a postgraduate master’s course starting in September 2016 or later. They have released the following information about the new loans:The loan can be used to pay tuition fees or help meet your maintenance or study costs. Your course must be at postgraduate masters level and you must meet the eligibility rules that relate to residence, settled status, previous study and qualifications.
StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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