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  • Data-science (For International Student) (Course Code: 10917NAT)
Diploma of Data Science
Course Code: 10917NAT CRICOS Code: 117541K Department: Data-science

Diploma of Data Science

Description

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.

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.

Location (Theory& Practical)
  • VIC - Langford street Campus - 72-92 Langford St - Arrangement with Non Registered Provider
(Subject to change at the time of enrolment)
Duration
  • 52 weeks
Tuition Weeks
  • 52 weeks
Delivery and Assessment mode
  • Face-to-face, combination of theory, practical and/or project assessments.
Work based training/Work placement
  • NILL
Possible pathways for further students
  • NILL
Possible occupational outcomes
  • NILL
Fees & Charges
  • Please find the Price list here
Prerequisite
  • NILL
Units of Competency
  1. Unit CodeUnit Name

Core

  1. ICTCLD507Build and deploy resources on cloud platforms
  2. ICTDAT501Gather, analyse and verify data from different source inputs Current
  3. ICTDAT503Use unsupervised learning for clustering Current
  4. ICTICT435Create technical documentation Current
  5. ICTICT529Organise and lead agile projects Current
  6. ICTICT532Apply IP, ethics and privacy in ICT environments Current
  7. ICTWEB527Research and apply emerging web technology trends Current
  8. NAT10917001Analyse databases and big data for information retrieval Current
  9. NAT10917002Apply data structures and algorithms to data Current
  10. NAT10917003Apply quantitative techniques for data analysis Current
  11. NAT10917004Implement machine learning techniques for regression Current
  12. NAT10917005Implement machine learning techniques for classification Current
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