All details in this unit profile for COIT12209 have been officially approved by CQUniversity and represent a learning partnership between the University and you (our student).
The information will not be changed unless absolutely necessary and any change will be clearly indicated by an approved correction
included in the profile.
This unit focuses on the foundational concepts of data science. Digital data is growing at a very fast rate with data being the underlying driver of the knowledge economy. This unit will prepare you with foundational knowledge and practical skills about data collection, representation, storage, retrieval, management, analysis, and visualisation through the exploration of data-related challenges. You will also learn the impact of big data and business analytics on business performance to cater for the development of useful information and knowledge in an attempt to achieve data-driven decision making.
Career Level: Undergraduate
Unit Level: Level 2
Credit Points: 6
Student Contribution Band: 8
Fraction of Full-Time Student Load: 0.125
Pre-requisites or Co-requisites
Prerequisite: COIT11226 Systems Analysis
Co-requisite: COIT11237 Database Design & Implementation
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 3 - 2022
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).