GraduateData Science
Master of Business Analytics (Information Technology)
Kaplan Business School, Multi-campus (Sydney, Melbourne, Adelaide, Brisbane), Australia
About this program
The Information Technology stream of KBS's Master of Business Analytics builds on the same core analytics subjects as the standard degree (data acquisition, visualisation, security and ethics, forecasting, AI and machine learning, quantitative methods) but points the elective and specialisation choices toward IT infrastructure and systems concerns rather than purely commercial analytics applications. At five trimesters (one year eight months) full-time, it's noticeably shorter than KBS's Master of Accounting, reflecting the more compact, technically-focused nature of the analytics field compared with a professionally accredited accounting qualification.
The degree closes with an Analytics Capstone built around an industry research project, which in the IT-focused variant tends to mean students working through a genuine data or systems problem sourced from an organisation rather than a synthetic classroom case, and it's positioned by the school as substantial preparation for further postgraduate study as much as direct employment, since KBS notes it carries credit into related postgraduate IT and analytics courses elsewhere.
Graduates from this stream typically move into business analyst, data/reporting analyst or business intelligence roles, sitting at the intersection of the commercial decision-making side of analytics (forecasting, marketing analytics, project management) and the more technical AI/machine learning and data security content. It's a combination that suits students who want to work with data teams without retraining as software engineers or data scientists from scratch.
Fees & duration
English test scores
Verified kbs.edu.au ↗
Course structure
Study plan in 4 parts
- Core subjects (9): Introduction to Business Analytics
- Data Visualisation and Communication
- Data Acquisition and Management
- Data Security and Ethics
- Data-driven Forecasting
- Artificial Intelligence and Machine Learning
- Analytics in Accounting and Finance
- Quantitative Methods
- Analytics Capstone: Industry Research Project
- Electives (choose 3, IT-focused): Artificial Intelligence Programming in Business Analytics
- Business Analytics Project Management
- Marketing and Social Media Analytics
- Innovation and Creativity in Business Analytics
- Internship
- 12 subjects across 5 trimesters
- full-time
- 1 year 8 months
- Adelaide
- Brisbane
- Gold Coast
- Melbourne
- Perth
- Sydney
Career & PR pathway
Occupations this degree typically leads to, and their skilled-migration list status
Data ScientistANZSCO 224115
A newer ANZSCO code (added 2022) that sits on CSOL only, supporting the employer-sponsored 482 and 186. Not on MLTSSL or STSOL, so it does not currently open the points-tested 189, 190, or 491, and no state nominates this exact code.
Assessed by Australian Computer Society (ACS)
Data AnalystANZSCO 224114
Added to ANZSCO alongside Data Scientist in 2022. Sits on CSOL only, supporting the employer-sponsored 482 and 186, not the points-tested 189, 190, or 491.
Assessed by Australian Computer Society (ACS)
StatisticianANZSCO 224113
On MLTSSL, supporting the 189, 190, and 491, with a VETASSESS skills assessment.
Assessed by VETASSESS
ICT Business AnalystANZSCO 261111
On both MLTSSL and CSOL, so it supports 189/190/491 and the employer-sponsored 482/186. Common landing occupation for IT and business-analytics graduates.
Assessed by Australian Computer Society (ACS)
List membership changes over time and does not guarantee an invitation. See the skilled occupation lists guide and the points calculator before relying on this for a visa decision.
Admissions
An Australian Bachelor Degree (or AQF Level 7 equivalent) in any discipline; alternatively, an Advanced Diploma or Associate Degree (AQF Level 6 equivalent) plus a minimum of two years' relevant industry experience.
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