Master of Data Analytics

Melbourne Institute of Technology (MIT)

Type of institution: Higher Education Institutions
Level: Postgraduate
CRICOS: 01545C

Imagine a career in an industry so new it

Structure

The Master of Data Analytics requires 9 core units and three electives from the IoT Data Analytics or Cloud Networks. A full time study load is 60 credit points per trimester. Successful completion of the course requires 240 credit points, made up of 12 units of 20 credit points.

Subjects

AIM100 Academic Integrity Module
MDA511 Mathematical and Statistical Methods
MDA512 Data Science
MDA513 ICT Practices
MDA521 Data Security and Privacy
MDA522 Artificial Intelligence (Prerequisite: MDA512 Data Science)
MDA611 Predictive Analytics (Prerequisite: MDA511 Mathematical and Statistical Methods)
MDA691 Project Management and Research Methods (Prerequisite: 4 Core units)
MDA621 Software Practice for Big Data Analytics (Prerequisite: MDA512 Data Science)
MDA692 Data Analytics Capstone Project (Prerequisite: MDA691 Project Management and Research Methods)
MDA541 IOT and Sensor Networks
MDA641 Smart Environments (Prerequisite: MDA541 IOT and Sensor Networks)
MDA642 IoT Data Analytics Platforms (Prerequisite: MDA541 IOT and Sensor Networks)
MN503 Overview of Internetworking
ME605 Cloud Engineering (Prerequisite: MN503 Overview of Internetworking)
MN622 Software Defined Networking (Prerequisite: MN503 Overview of Internetworking)

Standard entry requirements

Successful completion of Australian Bachelor degree or equivalent.
For the cognate stream: An Australian bachelor degree or equivalent in Information Technology or a related discipline such as computer science, software engineering, computer engineering or networking.
For the non-cognate stream: An Australian bachelor degree or equivalent in any other discipline.