Master of Information Technology (Big Data and Analytics)
The ICMS Master of Information Technology (Big Data and Analytics) is an innovative postgraduate degree which meets an explosion of opportunity for those who can design, develop, and implement contemporary and creative data analytics solutions to complex real-world problems. This is an exciting time to be in Information Technology (IT). New skills such as data visualisation, data analytics programming, big data and artificial intelligence (AI) are now being demanded by organisations who recognis
Official- Duration
- 2 years
- Qualification
- Masters Degree (Coursework)
- AQF 9
- Campus
- Sydney
- NSW · +2 more campuses
- Course code
- Not provided
Course overview
The ICMS Master of Information Technology (Big Data and Analytics) is an innovative postgraduate degree which meets an explosion of opportunity for those who can design, develop, and implement contemporary and creative data analytics solutions to complex real-world problems. This is an exciting time to be in Information Technology (IT). New skills such as data visualisation, data analytics programming, big data and artificial intelligence (AI) are now being demanded by organisations who recognise the need to be able to respond to fast changing technologies quickly.
Entry requirements
Requirements are recorded per intake year and per audience. Meeting them does not guarantee an offer.
English language
Band minimums apply in addition to the overall score.
- IELTS AcademicOverall 6.5L 6 · R 6 · W 6 · S 6
Intakes and tuition
Tuition is recorded per intake with the institution's own basis. Superseded rows are kept so fee changes stay visible.
| Intake | Campus | Starts | Applications close | Tuition | For |
|---|---|---|---|---|---|
| 2027 · Semester 1 | City Campus, Sydney | — | — | — | International students |
| 2027 · Semester 2 | City Campus, Sydney | — | — | — | International students |
Where it is taught
City Campus, Sydney
PrimaryLevel 4, 451 Pitt Street, Haymarket, SYDNEY, NSW, 2000, SYDNEY, NSW
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