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Every interaction - from clicks and swipes to searches, shares, and streams - generates vast amounts of data at an unprecedented pace. The sheer scale and intricacy of this data presents significant opportunities as organizations work to leverage big data for competitive advantage. In this program, you'll examine the complete data journey, gaining comprehensive knowledge about how information originates, gets collected, processed, and examined, along with how it transforms into valuable insights that drive strategic choices.
You'll engage with cutting-edge curriculum that addresses current developments in data science, equipping you with specialized, technical expertise that's in high demand worldwide. Investigate various analytical approaches, software solutions, and methodologies while mastering fundamental principles and delving into sophisticated subjects like machine intelligence, artificial intelligence, and forecasting analytics.
Recent secondary education students
Current Year 12 students (2024)*
Year 12 graduates (2023 and 2022)*
* Includes Victorian, interstate, International Baccalaureate (IB) and New Zealand school leavers.
To be considered for an undergraduate course, you need to meet Deakin’s entry and course-specific requirements, as well as the English language minimum prerequisites.
Non-Year 12 applicants with:
higher education study
Vocational Education and Training (VET) study
work and life experience Or
completed Year 12 in 2021 or earlier.
Completion of one of the following:
2 credit points in an AQF Level 7 bachelor degree
certificate IV or higher in a related discipline
a diploma or higher in any discipline
at least 50% completion of a diploma or higher in a related discipline relevant work and life experience.
English Language Requirements:
IELTS: Overall 6 No band less than 6
TOEFL IBT: 69 Writing 21
TOEFL PBT: 550 Writing 4.5
C1 ADVANCED and C2 PROFICIENCY: 169 No band less than 169
PTE: 50 No less than 50 in each skill
OET: Overall C
DUELI EAP PROGRAM: EAP 3 (60%)