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Business Intelligence and Analytics MSc

University of Westminster, London

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    Cavendish Campus

  • Study mode

    Full time

  • Start date

    27-SEP-21

  • Duration

    1 year

Course summary

Course summary

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.

CAREERS AND EMPLOYABILITY SERVICE

Our Careers and Employability Service is here to support you to achieve your full potential.

ASSOCIATED CAREERS

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.

Tuition fees

Students living in United States
(international fees)

£ 14,000per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

University of Westminster, London

  • University League Table

    114th

  • Campus address

    University of Westminster, London, 101 New Cavendish Street, LONDON, CITY OF WESTMINSTER, W1W 6XH, England

With students coming from 170 nations around the globe, Westminster is one of the most internationally diverse universities in the UK.
Courses at Westminster aim to prepare students for industry and ensure that work experience and placement opportunities are accessible to all.
Westminster offers a wide range of scholarships, including a fully-funded postgraduate award, supporting students from over 50 countries across the world.

Subject rankings

  • Subject ranking

    89th out of 122 11

    93rd out of 113 5

  • Entry standards

    / Max 209
    121 57%

    60th

    11
  • Graduate prospects

    / Max 100
    50.0 50%

    98th

    17
  • Student satisfaction

    / Max 5
    3.90 78%

    87th

    13
  • Entry standards

    / Max 236
    116 52%

    84th

    3
  • Graduate prospects

    / Max 100
    76.0 76%

    80th

    3
  • Student satisfaction

    / Max 5
    3.85 77%

    73rd

    12

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