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Big data is a popular term used to describe the exponential growth and availability of structured and unstructured data. In this unit, you will explore big data within the context of business intelligence. In this unit, you will learn concepts of business intelligence, alignment of big data to business intelligence and how big data technologies can be used in building organisational business intelligence. You will learn how big data is changing businesses and how organisations can take advantage of big data in decision making. You will learn how organisations are integrating non-traditional unstructured data with the traditional structured enterprise data to do the business intelligence analysis. In order to understand these, you will learn big data analytical tools and technologies to help solve authentic business problems and make effective business decisions.
Career Level: Postgraduate
Unit Level: Level 9
Credit Points: 6
Student Contribution Band: 8
Fraction of Full-Time Student Load: 0.125
Pre-requisites or Co-requisites
Prerequisites: COIT20250 e-Business Systems, COIT20245 Introduction to Programming and COIT20247 Database Design and Development.
Anti-Requisites: If you have completed unit COIT20236 then you cannot take this unit.
Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit,
should drop the subsequent unit before the census date or within 10 working days of Fail grade notification.
Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability.
See details in the Assessment Policy and Procedure (Higher Education Coursework).
Offerings For Term 1 - 2024
All on-campus students are expected to attend scheduled classes –
in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory.
International students, on a student visa, must maintain a full time study load and meet
both attendance and academic progress requirements in each study period
(satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).