Data Analytics for Business Decision Making

Unit code : BMAN60422
Credit rating : 15
Teaching period(s) : Semester 2


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Aims | Objectives | Assessment | Information | Course unit content |
Tutors | Timetable | Teaching methods |



Aims

The aim of this course is to provide students with an understanding of data analytics for business decision making. It will discuss a wide range of data analytical techniques, including classification, clustering, predictive modelling, text mining, and visual analytics. Emphasis will be placed on the use of an industry-leading software tool, SAS.

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Objectives (Learning outcomes)

At the end of the course unit, student should be able to:

  • Understand the fundamentals of data analytics and its application to business and management decision making,
  • Understand a variety of data analysis techniques, such as data classification and clustering, prediction and forecasting, association rule mining & text mining, etc.,
  • Discuss how visual analytics can be used to understand big data, extract insights and identify patterns,
  • Demonstrate the ability to use specialised software tools, such as SAS, to analyse large sets of data in real-world problems.

Assessment methods

50% Exam (close book, 2 hours)

50% Coursework


Information

Informal Contact Method

  • Office Hours
  • Online Learning Activities (blogs, discussions, self assessment questions)


Course unit overview

This course covers the fundamentals of data analytics, data management, predictive modelling, pattern discovery, advanced analytics and big data in the context of supporting business decision making.


Teaching staff
No available data to display.
Timetable
Assessment written exam - 2 hours
Lectures - 20 hours
Practical classes & workshops - 20 hours

Teaching and learning methods
No available data to display.