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Accredited course details

10917NAT - Diploma of Data Science


Summary

Status:
Current
Currency period start:
08/Feb/2021 
Currency period end:
07/Feb/2026 
End reason:
 
Authority:
National Vocational Education and Training Regulator Act 2011 
Description:
The intended vocational outcomes for the Diploma of Data Science course include:
• Data Analyst
• Data Scientist.

The qualification produces data scientists or analysts with high level skills and knowledge to code, analyse and solve complex data related problems using computing, mathematical and statistical techniques.
An individual in this role can analyse or develop software solutions to solve complex data problems. An individual can use techniques of data collection, exploration and analysis, machine learning, statistics and mathematics in data related problem solving and generate useful insights.

Specialist functions and Skills
Additionally, graduates of the course will be able to perform the following functions and specialist tasks:

• Develop and apply knowledge in a broad range of methods based on statistics and computing and use these for analysis and problem solving
• Identify approaches to solve specific problems using data, making sense out of data and automating the process of decision making.
• Use appropriate methods, tools and techniques for data collection and analysis. 

Currency period application renew history

Currency Period Start dateCurrency Period End dateApplication RenewOutcome of applicationDate of effect
08/Feb/202107/Feb/2026No 

Completion mapping

CodeSort Table listing Mappings History by the Code columnTitleSort Table listing Mappings History by the Title columnStatus/UsageStart dateSort Table listing Mappings History by the Start date columnEnd dateSort Table listing Mappings History by the End date column
NAT10917001 - Analyse databases and big data for information retrievalAnalyse databases and big data for information retrieval Current08/Feb/2021 
NAT10917002 - Apply data structures and algorithms to dataApply data structures and algorithms to data Current08/Feb/2021 
ICTICT532 - Apply IP, ethics and privacy in ICT environmentsApply IP, ethics and privacy in ICT environments Current08/Feb/2021 
NAT10917003 - Apply quantitative techniques for data analysisApply quantitative techniques for data analysis Current08/Feb/2021 
ICTCLD507 - Build and deploy resources on cloud platformsBuild and deploy resources on cloud platforms Current08/Feb/2021 
ICTICT435 - Create technical documentationCreate technical documentation Current08/Feb/2021 
ICTDAT501 - Gather, analyse and verify data from different source inputsGather, analyse and verify data from different source inputs Current08/Feb/2021 
NAT10917005 - Implement machine learning techniques for classificationImplement machine learning techniques for classification Current08/Feb/2021 
NAT10917004 - Implement machine learning techniques for regression Implement machine learning techniques for regression  Current08/Feb/2021 
ICTICT529 - Organise and lead agile projectsOrganise and lead agile projects Current08/Feb/2021 
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Displaying items 1 - 10 of 12

Completion mapping history

CodeSort Table listing Mappings History by the Code columnTitleSort Table listing Mappings History by the Title columnStatus/UsageStart dateSort Table listing Mappings History by the Start date columnEnd dateSort Table listing Mappings History by the End date column
NAT10917001 - Analyse databases and big data for information retrievalAnalyse databases and big data for information retrieval Current08/Feb/2021 
NAT10917002 - Apply data structures and algorithms to dataApply data structures and algorithms to data Current08/Feb/2021 
ICTICT532 - Apply IP, ethics and privacy in ICT environmentsApply IP, ethics and privacy in ICT environments Current08/Feb/2021 
ICTDAT501 - Gather, analyse and verify data from different source inputsGather, analyse and verify data from different source inputs Current08/Feb/2021 
NAT10917003 - Apply quantitative techniques for data analysisApply quantitative techniques for data analysis Current08/Feb/2021 
NAT10917004 - Implement machine learning techniques for regression Implement machine learning techniques for regression  Current08/Feb/2021 
ICTDAT503 - Use unsupervised learning for clusteringUse unsupervised learning for clustering Current08/Feb/2021 
NAT10917005 - Implement machine learning techniques for classificationImplement machine learning techniques for classification Current08/Feb/2021 
ICTICT435 - Create technical documentationCreate technical documentation Current08/Feb/2021 
ICTCLD507 - Build and deploy resources on cloud platformsBuild and deploy resources on cloud platforms Current08/Feb/2021 
Items per page 10 | 20 | 50 | 100
Displaying items 1 - 10 of 12

Classifications

SchemeCodeClassification value
ANZSCO Identifier 261311 Analyst Programmer 
ASCED Qualification/Course Field of Education Identifier 0201 Computer Science 
Qualification/Course Level of Education Identifier 421 Diploma 
Nationally Recognised Training Type 12 Course 

Classification history

SchemeCodeClassification valueStart dateEnd date
ANZSCO Identifier 261311 Analyst Programmer 08/Feb/2021 
ASCED Qualification/Course Field of Education Identifier 0201 Computer Science 08/Feb/2021 
Qualification/Course Level of Education Identifier 421 Diploma 08/Feb/2021 
Nationally Recognised Training Type 12 Course 08/Feb/2021 

Restrictions

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Restrictions history

RestrictionStart DateEnd Date
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Attachments

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