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SPPC-DAVIS

Data Analytics and Visualisation

Postgraduate specialisation

Become a specialist in data analytics and visualisation.

Course outline
  • Qualification
    Data Analytics and Visualisation Specialisation
  • Credit

    Credit

    100
Course outline

Select your preferred degree

This course belongs to multiple degrees. Select the single degree or double degree below to see the application deadlines.

Course outline

Outline

Outline

This is a Master of Information Systems and Technology specialisation designed for ICT professionals looking to upskill into management roles, and for graduates and other professionals who want to gain the skills for a career in ICT.

You will learn to understand and apply broad concepts in data mining, business intelligence and data interpretation to make informed business decisions.

As a both a producer and a consumer of data, you’ll learn about data management and security practices, as well as the legal and ethical issues related to collecting and using data.

You'll also get practical insights into ICT applications through an industry-based project, and you can gain real-world experience and global exposure by completing an internship or international study tour.

Please refer to the Curtin Handbook for details about the course structure.

What jobs can the Data Analytics and Visualisation specialisation lead to?

This specialisation will ensure that you graduate with the in-demand skillsets involved in using and displaying data to support business goals across a range of industries.

Careers

  • Business analyst
  • Data analyst
  • Reporting specialist
  • Business analytics consultant
  • Business intelligence developer

What you'll learn

  • apply data analytics techniques to large and complex datasets, using statistical, machine learning, and data mining methods to extract insights, identify patterns, and make data-driven decisions, GC1, GC3.
  • create effective data visualizations and dashboards, by selecting appropriate visual encoding techniques, designing clear and concise interfaces, and presenting insights in a way that is engaging and understandable to different stakeholders, GC2, GC3.
  • develop and implement data analytics solutions, including data preparation, integration, and transformation, and use cloud-based tools and technologies to support scalable and efficient data processing and analysis, GC1, GC4, GC5, GC6.
  • evaluate the ethical and legal implications of data analytics, by understanding and applying principles of data governance, privacy, and security, and by ensuring that data analytics and visualization projects adhere to relevant regulations and standards, GC1, GC2, GC3, GC4, GC6
Credit for recognised learning (CRL)

Use your experience to get credit towards your degree

Finish your course sooner with credit for your previous study or work experience.

Fees and charges

Fee information is not available for this course at this time. Find estimated course fees.

Looking for more detail on the course structure?

View course structure
  • The offering information on this website applies only to future students. Current students should refer to faculty handbooks for current or past course information.

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  • Curtin course code: SPPC-DAVIS
  • Last updated on: 22 November 2024

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