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What will I learn?

When you study the data you discover more than meets the eye. Data Analytics is the bridge between technology, data science and strategy.

Ever wondered how your phone knows which ads to show you at lunchtime? Or how the supermarket emails you with specials on your favourite products? It’s not a coincidence. It’s the work of data analytics encouraging you to buy more.


A career in data analytics will give you great job prospects. Roles can include:

Business (Intelligence) Analyst
IT Systems Analyst
Credit Analyst
Corporate Strategy Analyst
Social Media Data Analyst
Operations Analyst
Marketing Analyst
Fraud Analyst
Applications Architect
Enterprise Architect
Data Architect
Data Scientist


When you study Data Analytics at MIT you’ll learn how to combine the essentials of statistics and data with technology. You’ll also develop skills such as strategic thinking, project management and problem solving.

Our industry based final year projects offer exciting opportunities to apply your learning to solve real-world problems for industry leaders.

Students have an option to specialise in:

A Major

Software Engineering

Specialisations in

IoT Data Analytics
Cloud Networks


Graduates of this course will:

Possess a body of knowledge taken from fields including Statistics, Applied Mathematics, Computer Ethics, Data Security and Privacy, Information Management and Machine Learning that is essential to both understanding and applications of contemporary and emerging Data Analytics principles and methodologies.
Be able to investigate and compare key data analytical technologies and assess their effectiveness for problem-solving and data protection in different application scenarios.
Demonstrate significant research, analysis and evaluation skills in the Data Analytics discipline, and exercise critical thinking and problem-solving ability to tackle complex real-world problems.
Be capable of independent professional work in data analytics project teams with an elevated level of autonomy and accountability.
Be able to collaborate and communicate effectively with different stakeholders of Data Analytics projects in a professional setting.

What skills will students gain?

Data visualisation
Data modelling
Up to date software and programming, including Tableau, Python, R, SQL and NoSQL, MATLAB
Statistical analysis and strategy
Data driven decision making
Leadership and strategy
Critical thinking and communication.

Which department am I in?

School of Information Technology and Engineering (SITE)



Study options

Full Time (2 years)

Tuition fees
A$23,340.00 (12,69,859) per year
AUD $11,670 per trimester
Start date

18 July 2022, 14 November 2022


Melbourne Institute of Technology

Melbourne Campus,

288 La Trobe Street,



3000, MELBOURNE, Australia

Full Time (2 years)

Tuition fees
A$23,340.00 (12,69,859) per year
AUD $11,670 per trimester
Start date

18 July 2022, 14 November 2022


Sydney Campus

154-158 Sussex Street,


New South Wales,

2000, SYDNEY, Australia

Entry requirements

For students from United States

An Australian bachelor degree or equivalent in any discipline. English Language Requirements: IELTS (Academics) 6.5 with no band less than 6.0 or equivalent. TOEFL iBT - 79–93 with minimum scores: Reading 13, Listening 12, Speaking 18, Writing 21. PTE Academic - Overall 58 (no band less than 50). Cambridge CAE - CAE Score of 176 (no band less than 169).

For international students

The MDA course is designed to encompass two streams, one for cognate and another for non-cognate students.

Cognate students are those that have an Australian Bachelor degree or equivalent in an Information and Communications Technology (ICT) discipline such as Computer Science, Computer Engineering, Information Technology and Software Engineering.

For the non-cognate stream, students must have an Australian Bachelor degree or equivalent in a non-ICT discipline. Because we have existing units that provide foundational ICT knowledge for our non-cognate students, we can accept a broader scope of students into our programs.

For entry you need to have:

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.

English Language Requirements

IELTS (Academic) 6.0 with no band less than 6.0 equivalent.

TOEFL iBT - Overall score 60-78 with minimum scores: Reading 12, Listening 11, Speaking 17, Writing 20

PTE Academic - Overall score 50 with (no score less than 46)

Cambridge CAE - CAE Score of 169 (no band less than 162)

*There may be different IELTS requirements depending on your chosen course.