UndergraduateData Science
Bachelor of Data Analytics
Melbourne Institute of Technology, Melbourne, VIC, Australia
About this program
The Bachelor of Data Analytics gives students the data-analytic lifecycle and industry-tool foundations for a career in smart-technology fields such as the Internet of Things, robotics and deep learning, and the growing volumes of data those fields generate. Specialised final-year electives point toward emerging areas including smart technologies and advanced artificial intelligence, alongside deep learning, neural networks and smart-algorithm theory and practice.
Students can pull recommended electives from either MIT's networking unit pool (network security, systems administration, software engineering, cyber security) or its business unit pool (management, accounting, marketing, economics, commercial law, statistics), giving the degree more flexibility than a narrowly technical program. It closes with two mandatory final-year capstone units delivered as an industry-based project.
Runs from both the Melbourne and Sydney campuses across three intakes a year (March, July, November).
Fees & duration
English test scores
Verified mit.edu.au ↗
Course structure
Study plan in 4 parts
- BB101Business Communications
- BN112Computer System Fundamentals
- BN106Networking Fundamentals
- BN109Web and Multimedia Systems
- BN110Information Systems Fundamentals
- BN111Programming Fundamentals
- BDA112Data Science Fundamentals
- BDA113Data Visualisation
- BN204Database Technologies
- BDA215Software Engineering and Project Management
- BDA211Data Warehousing
- BDA212Statistics and Decision Models
- BDA213Data Analytics and Smart Applications
- BDA214Machine Learning
- BDA322Data Science Mathematics
- BDA301Entrepreneurship and Innovation
- BDA311Big Data Applications
- BDA312Deep Learning Applications
- plus the zero credit AIM100 Academic Integrity Module
Networking stream (BN200 Network Security Fundamentals, BN206 System Administration, BN209 Software Engineering, BN223 Cyber Security Principles, BN231/BN232 Software Development, BN309 Computer Forensics) or Business stream (BB103, BB104, BB105, BB106, BB107, BB108)
- BDA303Data Analytics Capstone Project 1
- BDA304Data Analytics Capstone Project 2 (mandatory for the award)
Total
- 6 trimesters3 years full-time
- Melbourne or Sydney campus
- 3 intakes per year
Career & PR pathway
Occupations this degree typically leads to, and their skilled-migration list status
Data ScientistANZSCO 224115
A newer ANZSCO code (added 2022) that sits on CSOL only, supporting the employer-sponsored 482 and 186. Not on MLTSSL or STSOL, so it does not currently open the points-tested 189, 190, or 491, and no state nominates this exact code.
Assessed by Australian Computer Society (ACS)
Data AnalystANZSCO 224114
Added to ANZSCO alongside Data Scientist in 2022. Sits on CSOL only, supporting the employer-sponsored 482 and 186, not the points-tested 189, 190, or 491.
Assessed by Australian Computer Society (ACS)
StatisticianANZSCO 224113
On MLTSSL, supporting the 189, 190, and 491, with a VETASSESS skills assessment.
Assessed by VETASSESS
List membership changes over time and does not guarantee an invitation. See the skilled occupation lists guide and the points calculator before relying on this for a visa decision.
Admissions
Recent Year 12 completion (VCE, HSC or equivalent, or the IB), with a Units 3 and 4 study score of at least 20 in both English and Mathematics (or equivalent) as this is an IT program; or full-time equivalent higher education study; or an AQF Certificate IV or higher from an RTO; or a Foundation Studies/Tertiary Preparatory program; or assessment on work and life experience. Domestic applicants must be 17 at course commencement; international applicants must be 18.
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