Master of Business Analytics

Program Overview

The Master of Business Analytics at Victoria University prepares international students with advanced skills in analysing and interpreting data to solve real business challenges. The course covers data science, data wrangling and visualisation, predictive analytics, big data, artificial intelligence (AI) and machine learning, cloud computing, data security and governance, and business data mining. Students use practical tools such as Python, R, AWS cloud platforms and SAP technologies to build real-world capabilities. A core applied business project (capstone) enables students to apply analytics to contemporary business problems.

Intakes: February, 

Other possible intakes at Sydney campus — April, July, September, November (check with VU Sydney)

Admission Requirements

• IELTS 6.5 overall (no band less than 6.0) or equivalent

Tuition Fees for Nepalese Students

Fee

*Tuition estimates are for the entire program and may increase annually.

Specialisation / Majors

Focus / Study Themes (elective emphasis areas):
This course does not offer separate majors, but includes a set of specialist analytic areas students study through core and elective units:
• Data Wrangling & Visualisation
• Predictive Analytics & Big Data
• Artificial Intelligence & Machine Learning for Business
• Data Security & Governance
• Cloud Technology & Platforms
• Business Data Mining & Warehousing
• IT Project Management
• Applied Business Analytics Project (Capstone)

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