Version Effective: 20th of January, 2023
Version Effective: 20th of January, 2023

ACC117400 - Data Management

Course Details

Course Summary

This skillset involves the skills and knowledge required to capture, store, test and analyse transactional and non-transactional big data from a range of sources. It includes using established methodologies and techniques to obtain data sets prior to storing, assembling, processing and identifying key information contextualised to the needs of the audience or work area, according to industry practices, organisational policies, procedures and protocols and providing reporting, recommendations and insights in an appropriate and accessible format. Participants undertaking this skillset are expected to have existing relevant qualifications. No licensing, legislative, regulatory or certification requirements apply to this unit at the time of publication however participants may be subject to restrictions or additional requirements based on operational, site or workplace policies and procedures.

Entry Requirements

Participants undertaking this skillset are expected to have existing relevant qualifications. No licensing, legislative, regulatory or certification requirements apply to this unit at the time of publication however participants may be subject to restrictions or additional requirements based on operational, site or workplace policies and procedures.

Course Details

Course Type Short Course (Accredited)
Student Availability
  • Domestic
Fees For detailed information on Course Fees, visit www.cqu.edu.au/fees
Application Mode
  • Direct To University
  • Interview/Portfolio/Audition
  • Other
How to Apply Please Enquire
Study Area
  • Apprenticeships, Trades & Training
  • Engineering and Built Environment
  • Information Technology and Digital Media
  • Mining and Energy
  • Science and Environment
  • Transport and Safety Sciences
Skill Area
  • Aeroskills
  • Automotive
  • Automotive Engineering and Technology
  • Banking and Finance
  • Boating
  • Building and Construction
  • Drilling
  • Engineering
  • Forest Industries
  • Horticulture
  • Information Technology
  • Laboratory Technology
  • Licenses
  • Mining
  • Printing and Graphics
  • Process/Manufact Food
  • Rural Industries
  • Safety
  • Telecommunications and Postal Services
  • Transport and Warehousing
  • Utilities

Admission Codes

Domestic Students
Tertiary Admission Centre Codes (TAC) Codes 		Not Applicable
International Students
CRICOS Codes 		Not Applicable

Student Outcomes, Career Opportunities and Occupations

This skillset involves the skills and knowledge required to capture, store, test and analyse transactional and non-transactional big data from a range of sources. It includes using established methodologies and techniques to obtain data sets prior to storing, assembling, processing and identifying key information contextualised to the needs of the audience or work area, according to industry practices, organisational policies, procedures and protocols and providing reporting, recommendations and insights in an appropriate and accessible format.

Course Structures

Study Mode Definitions

  • Online: Online courses provide the flexibility to study without normally requiring a student to visit a campus. Course content is studied through a number of means including the use of online discussion forums, electronic library resources, by contacting lecturers and teachers, and receiving study materials online/electronically. Work integrated learning, including placements, may be included in some courses.
  • On-campus: Students studying in on-campus mode typically are expected to attend and participate in regular, structured on-campus teaching and learning activities throughout the University’s academic term. These activities may include lectures, tutorials, workshops and practice, online or other activities and normally will be timetabled at a CQUniversity campus or approved delivery site.
  • Mixed Mode: Students studying in mixed mode will participate in a combination of online learning activities in addition to site-specific learning activities, which may include residential schools, co-op placements and/or work-integrated learning as a compulsory requirement of a unit. The additional site-specific learning activities are what differentiates a mixed-mode unit from an online unit.

*All study modes may include Vocational placement and/or work integrated learning.

Select a course structure below to view the delivery details, including the different study modes offered for each structure.

Course Structure 1

This skillset includes four units of competency and is typically delivered in a range of modes, including self-directed online, teacher led webinars, and face-to-face workshops to participants with existing industry knowledge.

The duration of the skillset is typically 114 delivery hours.

  • RPL/RCC/Credit
  • On-campus
  • Mixed Mode
  • Online
Unit Group 1
BSBXBD406 Present big data insights More Information Training.gov Details
BSBXBD403 Analyse big data More Information Training.gov Details
BSBXBD402 Test big data samples More Information Training.gov Details
BSBXBD401 Capture and store big data More Information Training.gov Details

Unit Sequence

For the following units, you may choose your own order of study, while taking into account pre-requisite requirements and the unit availability.
Unit Code Unit Name
BSBXBD406 Present big data insights
BSBXBD403 Analyse big data
BSBXBD402 Test big data samples
BSBXBD401 Capture and store big data

Course Learning Outcomes
Where and when can I start?
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