Tuition Fee
AUD 45,288
Per course
Start Date
Medium of studying
Fully Online
Duration
Program Facts
Program Details
Degree
Masters
Major
Data Analytics | Data Science
Area of study
Information and Communication Technologies
Education type
Fully Online
Timing
Part time
Course Language
English
Tuition Fee
Average International Tuition Fee
AUD 45,288
Intakes
Program start date | Application deadline |
2024-01-01 | - |
2024-03-01 | - |
2024-05-01 | - |
2024-07-01 | - |
2024-09-01 | - |
2024-10-01 | - |
About Program
Program Overview
This 24-month, 100% online Master of Data Science program allows students to study one subject at a time over seven-week periods, with flexible study hours. The program covers programming languages and software such as Python, R, Tableau, and AWS, and is the only online Master of Data Science in Australia to be SAS certified. Students are supported by a dedicated Student Success Advisor and can expect to spend approximately 20 hours per week on their studies.
Program Outline
Outline:
- Study period: 24 months
- Study one subject at a time, across a seven-week study period, instead of multiple subjects over a semester.
- Part-time: You can expect to spend about 20 hours per week on postgraduate study.
Teaching:
- 100% online
- Fast-track your career with flexible study you can balance around your life. Study one subject at a time wherever and whenever suits you.
- Gain skills the industry needs: Develop skills in a suite of programming languages and software including Python, R, Tableau and AWS and study the only online Master of Data Science in Australia to be SAS certified.
- Be supported by a dedicated Student Success Advisor.
Careers:
- Open up your career opportunities.
- Build your portfolio.
- Gain skills in SAS, Python, R and more.
- Fast-track your career with 100% online study.
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Admission Requirements
Entry Requirements:
- A Bachelor degree (whilst not a prerequisite for entry, high numeracy skills equivalent to senior level mathematics that includes algebra and elementary differential calculus is assumed); OR
- At least five years of relevant work experience in an IT or data science-related industry. Industry experience will need to include some background in computing, data analysis or programming.
Location
Gallery