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Murdoch University

  • 37% international / 63% domestic

Data Science (with Dissertation)

  • Non-Award

Apply your scientific skills to build your expertise in data and business analysis, machine learning, data mining and data resources management.

Key details

Degree Type
Non-Award
Course Code
MJ-DSDA

About this course

Overview

Data science is used to drive decision-making across every industry, from medical research and the food industry to airlines, customer service and artificial intelligence.

As part of your coursework, you'll explore big data and machine learning, and how they are used by organisations of every size. You'll learn new skills and ways of thinking as you explore data acquisition, preparation, transformation and modelling.

For your dissertation, you'll work with your supervisor to decide on a topic and explore new approaches and the latest developments in data science.

3 reasons to study Science at Murdoch

  • Build your expertise in the expanding field of data science and machine learning.
  • Get mentored by our data science academics who have experience solving real-world problems.
  • Learn in our IT Innovation Hub, a cutting-edge learning teaching and research facility, fitted out with the latest mixed and augmented reality equipment, operational data centre and high-performance computing capabilities.

What you'll learn

  • Learn how to apply data science and machine learning to identify and address challenges faced by an organisation.
  • Develop the skills you need to lead a team, work as part of a team and work on your own.
  • Learn a wide range of data techniques, including how to collect, record, analyse and interpret information.
  • Use creative thinking to define and resolve data science problems.
  • Develop a deep understanding of the ethics of data science and how this relates to a range of professional settings.

Your future career

When you graduate with a postgraduate qualification, you'll have the skills and expertise you need to manage, protect and leverage big data across any industry including telecommunications, health, education, architecture, engineering, law and government. Your career options could include:

  • Data Scientist
  • Machine Learning experts
  • Data Analyst
  • Data and Analytics Manager
  • Business Intelligence Architect

For further admission information about this course, please download our Information Pack.

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Entry requirements

Recognised Australian Computer Society (ACS) accredited Bachelor's degree in IT (AQF Level 7); OR recognised Bachelor's degree (AQF Level 7) plus an approved qualification in IT (AQF Level 8); OR recognised Honours degree (AQF Level 8) plus five or more years of relevant experience. Data Science (with Dissertation) Major Description Recognition of relevant and current informal or non-formal learning may be used for entry requirements, and should be discussed with the Academic Chair.

Study locations

Perth

How to apply

How to apply

Please indicate above whether you're a domestic or international student intending to study at a Western Australian campus.

Your Document Checklist

Ready to apply? Before you start, make sure you have all of the following documentation ready for a quick application.

  • Completed official Academic Transcripts and Certificates of Completion
  • A recent Curriculum Vitae
Your Document Checklist

Ready to apply? Before you start, make sure you have all of the following documentation ready for a quick application.

  • Complete or incomplete official Academic Transcripts and Certificates of Completion - both original and English translated versions
  • A letter showing proof of 2 years of work experience
  • English Language Proficiency Document (if available)
  • A recent Curriculum Vitae