Studyportals
M.Sc. On Campus

Business Intelligence and Analytics

University of Westminster

12 months
Duration
14000 GBP/year
9500 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

This Business Intelligence and Analytics MSc degree offered by the University of Westminster 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.

Overview

The Business Intelligence and Analytics MSc degree offered by the University of Westminster, 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.

Career Path 

  • Graduates can expect to find employment as consultants, decision modelling or advanced data analysts, and members of technical and analytics teams supporting management decision making in diverse organisations.
  •  Typical employers include local authorities, PLCs (e.g. GlaxoSmithKline, British Airways, Santander and Unilever), public sector organisations (e.g. the NHS and primary care trusts), retail head offices, the BBC, the Civil Service, and 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.

Programme Structure

Courses include:

  • Big Data Theory And Practice 
  • Business Analytics 
  • Data Mining And Machine Learning 
  • Research Methods And Professional Practice 
  • Business Systems Postgraduate Project 
  • Advanced Big Data Analytics 
  • Business Optimisation 
  • Data Visualisation And Dashboarding 

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 months
    • Flexible

Start dates & application deadlines

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Lower Second Class

Other requirements

General requirements

  • A minimum of a lower second class honours degree (2:2) 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.

Tuition Fee

To alway see correct tuition fees
  • International

    14000 GBP/year
    Tuition Fee
    Based on the tuition of 14000 GBP per year during 12 months.
  • National

    9500 GBP/year
    Tuition Fee
    Based on the tuition of 9500 GBP per year during 12 months.
  • UK tuition fee: £9,500 (Price per academic year)
  • International tuition fee: £14,000 (Price per academic year)

Living costs for London

1137 - 2157 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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.

Fresh content

Updated in the last 3 months

Check the official programme website for potential updates.

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Business Intelligence and Analytics
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University of Westminster

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