Program Overview
Murdoch's Master of Science in Data Science equips graduates with advanced data science and machine learning skills, preparing them for careers in various industries such as healthcare, education, engineering, and law. It combines theoretical knowledge with hands-on experience through its innovative IT Innovation Hub, fostering critical thinking, problem-solving abilities, and an understanding of the ethics of data science.
Program Outline
Degree 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. 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.
- Develop the skills you need to lead a team, work as part of a team and work on your own.
- 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.
Outline:
Total credit points: 27
| Unit code | Unit name | Credit points | |---|---|---| | ICT513 | Data Analytics | 3 | | ICT515 | Foundations of Data Science | 3 | | ICT601 | Business Analytics | 3 | | ICT616 | Data Resources Management | 3 | | ICT619 | Artificial Intelligence | 3 | | ICT678 | Information Technology Research Dissertation | 12 |
Careers:
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
- Murdoch Admission Information - Science
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- 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.
- English RequirementsYou must meet a minimum standard in English to study at Murdoch, which for most courses can be demonstrated by providing evidence that you have completed Year 11 and 12 in Australia at any level if you are a domestic student, or through either English proficiency tests, university preparation courses, English language courses, previous tertiary study or vocational education.
- Advanced StandingEveryone has a different path to university so if you’ve already completed formal or informal learning, you could receive advanced standing. Also known as recognition of prior learning, advanced standing can reduce the amount of study needed to complete your degree by giving you credit for certain units.Formal learning can include previous study in higher education vocational education or adult and community education.
