Master of Data Analytics
Imagine a career in an industry so new it’s evolving even as you study. Discover a career where your skills make you a sought after, highly-paid professional leading an industry as it grows.
Data analytics gives you a point of entry to a range of industries, from agriculture to business, finance, travel banking or cyber tech.
Big data and analytics impact every organisation, from technology start-ups to multinational companies. A Master of Data Analytics (MDA) at MIT will teach you the skills to analyse massive amounts of structured and unstructured data, to provide insights and to use the data to innovate and create disruptive business solutions.
Campus Information
Melbourne Campus
Located in the centre of Melbourne Central Business District (CBD), the MIT Melbourne campus is the larger of the two campuses. Situated among shops, restaurants, banks, post offices and entertainment outlets, close to parks and gardens, hospitals, the State Library of Victoria and the Queen Victoria Market, and with easy access to public transport, the MIT Melbourne campus offers the perfect balance between study, work and play.
Sydney Campus
The MIT Sydney campus is located in Sydney’s Central Business District (CBD) next to Darling Harbour, one of the city’s largest shopping, food and entertainment precincts. Located right in the heart of the City on Sussex Street, easily accessible by train- we are a few minutes’ walk from Wynyard and Town Hall stations.
Intakes
- March
- July
- Nov
Application Processing Time in Days: 20
Application Process
Minimum English Language Requirements
| English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
|---|---|---|---|---|---|
| Expert | 9 | 120 | 297-300 | 86-90 | |
| Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
| Very Good | 8 | 110-114 | 270-280 | 79-83 | |
| Good | 7.5 | 102-109 | 253-267 | 73-79 | |
| Good | 7 | 94-101 | 240-253 | 65-73 | |
| Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
| Competent | 6 | 60-78 | 170-210 | 50-58 | |
| Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
| Modest | 5 | 35-45 | 107-133 | 36-43 | |
| Limited | 4 | 32-34 | 97-103 | 30-36 | |
| Extremely Limited | < 4 | < 31 | < 93 | < 30 |
Job Opportunity Potential
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
PSW Opportunity
Post Study Work Steam Renames to Post Higher Education Work Steam.
- Bachelor degree holders including honours can get upto 2 years of post study stay
- Master by course work and extended (with a duration exceeding 2 years) can stay upto 2 years
- Masters by research (with a duration exceeding 2 years) and PhD holder can stay upto 3 years
- The Maximum eligible age to apply for PSW will be reduced to 35 years of age from 50 years of age for all applicants
Due to the Australian Indian Economic Cooperation and Trade Agreement signed by the 2 countries, according to which:
- Indian students completing bachelor degree including honours can stay upto 2 years
- Bachelor degree with First class honours in STEM including ICT can stay upto 3 years
- Masters by coursework in extended researched (with a duration exceeding 2 years) can stay upto 3 years
- PhD students can stay upto 4 years
Admission Requirement / Eligibility Criteria
Applicants must have completed the equivalent of a three year Australian Bachelor degree.
Mature age applicants can be considered for admission on a case-by-case basis having regard to the prior study, employment and professional experience.
Successful completion of 1-semester full-time study (0.5 EFTSL) Example: For a unit with 15 credit points, 15 divided by 120=0.125
Academic IELTS
Overall 6.5
(no band less than 6.0)
TOEFL iBT
Overall score 79-93 with minimum scores:
Reading 13,
Writing 21,
Listening 12,
Speaking 18
Pearson (PTE)
Overall 58
(no band less than 50)
Cambridge-CAE
Overall 176
(no band less than 169)
- Course Code: 102711J (VIC), 102710K (NSW)
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 02 Year
-
Total Tuition Fee:
49536 AUD
Average Cost of Living: 29710 AUD /year
Application Fee: N/A