Course Overview

This course responds to the current growing demand and a significant shortage of highly-trained analysts capable of interpreting data to find new patterns and relationships, informing business decisions accordingly so as to drive growth and successful business performance. You will have the opportunity to learn to generate value from large data sets, or Big Data, which cannot be analysed using traditional techniques. If you have an undergraduate degree in business and good numerical skills, this course should support you in developing quantitative and data mining skills to solve business problems by analysing data and converting that information into useful insights. With a focus on applying theory to practical situations through case studies and projects from the industry, this course will also give you opportunities to gain hands-on experience of up-to-date technology including SPSS and NVivo, with access to multiple data resources, including ProQuest and Mintel.

General Eligibility

A second class honors (minimum 2:2 or higher) in either; business, finance, economics, management science, logistics, engineering, computing, or mathematics.

Part Time Work Details

Language Requirement

• This course requires an IELTS of 6.5 overall, with no component lower than 5.5. Pre-sessional English is available if required.