GraduateInformation Technology
Master of Data Analytics (MDA)
Melbourne Institute of Technology, Melbourne, VIC, Australia
About this program
The Master of Data Analytics (MDA) trains students to combine statistics and data with technology to analyse large structured and unstructured datasets, running a cognate/non-cognate entry structure (an IT-background cognate stream and a broader non-cognate stream that first covers foundational IT units). Students can specialise via an IoT Data Analytics or Cloud Networks elective stream, and the degree is accredited by the Australian Computer Society (ACS) at the Professional Level.
It is a genuinely distinct degree from both the undergraduate Bachelor of Data Analytics and the Master of Business Analytics: MDA's core is IT/data-science-heavy (data science, data security, predictive analytics, big-data software practice) rather than the business-application focus of the Business Analytics master's. The final-year Data Analytics Capstone Project is an industry-based unit. Offered from the Sydney and Melbourne campuses across three intakes a year.
Fees & duration
English test scores
Verified mit.edu.au ↗
Course structure
Study plan in 4 parts
- Cognate stream common core units: AIM100 Academic Integrity Module
- MDA511Mathematical and Statistical Methods
- MDA512Data Science
- MDA513ICT Practices
- MDA521Data Security and Privacy
- MDA522Artificial Intelligence
- MDA611Predictive Analytics
- MDA691Project Management and Research Methods
- MDA621Software Practice for Big Data Analytics
- MDA692Data Analytics Capstone Project
- Non-cognate stream adds MN404 Fundamentals of Operating Systems and Programming and MN405 Data and Information Management
- with students who have gaps in undergraduate studies also required to complete these
- Elective specialisations (3 electives, one stream): IoT Data Analytics or Cloud Networks
Total
- 4 trimesters2 years full-time
- 240credit points (12 units of 20 credit points)
- Sydney or Melbourne campus
- 3 intakes per year
Career & PR pathway
Which careers in Information Technology lead to skilled migration depends on the occupation, not the degree title. See the skilled occupation lists guide for which occupations are on each list, and the points calculator to check where you stand.
Admissions
Successful completion of an Australian bachelor degree or equivalent. Cognate stream: a bachelor's degree in Information Technology or a related discipline (computer science, software engineering, computer engineering or networking). Non-cognate stream: a bachelor's degree in any other discipline.
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