Master of Data Analytics major in Software Engineering
The Master of Data Analytics, major in Software Engineering has been developed in consultation with a broad industry advisory panel. This major prepares students for a future career in various industries, because it capitalises on the intersection of two fast growing fields Data Analytics and Software Engineering. Graduates can play a crucial role in transforming businesses by applying their data analytics and software engineering skills.
The major in Software Engineering will prepare our students for the future market, studying units that focus on Software Engineering Fundamentals, Software Practice for Big Data Analytics, and Human-computer Interaction Design. They will gain an in-depth understanding of essential Software Engineering principles, Software Development Lifecycle models, Software Quality Assurance and Testing methodologies and Human-Computer Interaction. Students will learn to apply them to design and develop robust and tested software and applications. These can be used across a wide range of industries that deploy data analytics.
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鈥檚 Central Business District (CBD) next to Darling Harbour, one of the city鈥檚 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鈥� 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, 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