Graduate · Data 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.
Cost & duration
English test scores
Course structure
4 terms of coursework
- 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
- Structure: 12 subjects across 5 trimesters, full-time, 1 year 8 months
- Delivery: Adelaide, Brisbane, Gold Coast, Melbourne, Perth, Sydney
Admissions
Relevant bachelor's degree (or equivalent); some programs consider work experience in lieu (approximate, typical bar)