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Employability. life is a workplace readiness company which adds experience to Education by delivering qualification embedded with industry experiences.
Course Outline
The Master of Data Science builds on your existing capabilities to equip you with in-demand skills in AI, machine learning and data analytics, preparing you for roles across science, business, healthcare and government. Accredited by ACS and SSA, graduates meet AQF Level 9 requirements, making you a highly sought-after professional in today’s data-driven world.
Big data revenues are expected to grow from USD 205bn in 2020 to USD 300bn in 2025.1
With the world producing unprecedented amounts of data, there is an increasing demand for skilled data professionals. The Master of Data Science prepares you to meet this demand, offering hands-on expertise in AI, machine learning and data analytics.
Source1: UBS. (n.d.). Market news article 355755. UBS. Retrieved January 21, 2025.
Applicants shall have completed an undergraduate degree at AQF level 7 in an area of science, mathematics, statistics, engineering, information technology or business. Students are required to demonstrate they have previously studied introductory mathematics and at least one information technology course in their undergraduate degree. If they cannot, they must select an approved elective course in their first semester of study to meet prerequisite requirements.
Indian applicants – as above, with either:
- at least a Second Division grading for students from Section 1 & 2 universities (no pass division)
- a First Division grading from Section 3 universities.
Academic IELTS with an overall band score of 6.0, with no band less than 6.0 or equivalent.
Melbourne
March
2 years full-time
$34,500 AUD tuition fee
Graduates will be prepared for roles including:
- data analyst
- business analyst
- data scientist
- senior data scientist
- data engineer
- statistician
- data science director.