Master of Business Analytics

Programme Overview

The Master of Business Analytics (MBusAn) focuses on effectively harnessing, manipulating, and translating data to drive corporate decision-making. Delivered by the triple-crown accredited Business School, this pre-experience conversion degree bridges data science fundamentals with functional executive application. The curriculum is specifically designed to train students to interrogate complex corporate challenges, apply predictive modeling, and transform raw metrics into compelling visual stories for non-technical stakeholders.

Note: This programme is tailored for recent business and non-business graduates who want to pivot into analytics. It excludes students who have already majored in Business Analytics or Data Science at the undergraduate level.

Programme Pathways & Core Formats

The programme is delivered as a 180-point taught framework divided into two primary structural progression phases:

1. Part I (Core Analytical Foundations): Covers 6 core compulsory courses (90 points) to establish essential quantitative capabilities, predictive methodology, and visualization tools.
2. Part II (Specialisation & Capstone): Consists of specialized disciplinary coursework (30 points) paired with an active business consultancy framework and an industry-placed capstone project (60 points).

What You'll Study

The 180-point degree requirements combine technical core coursework, chosen industry specialisations, and a live business placement:

• Compulsory Core Coursework (90 points): Establishes advanced foundational analytics skills:
  • Analysis of Business Problems (BUSINFO 700)
  • Business Analytics Tools (BUSINFO 701)
  • Information Management (BUSINFO 702)
  • Data Visualisation for Business (BUSINFO 703)
  • Predictive Business Analytics (BUSINFO 704)
  • Decision Analytics (BUSINFO 705)
• Specialisation Streams (30 points): Students select one major pathway to contextualize their analytics skills:
  • Marketing: Focuses on Customer and Market Insights alongside Digital Marketing Analytics.
  • Supply Chain Management: Covers Supply Chain Optimisation and Supply Chain Analytics.
  • FinTech: Focuses on specialized financial technology analytics frameworks.
• Applied Capstone Component (60 points): Includes Advanced Project Management and Consultancy Practice courses, culminating in a 30-point applied industry project solving real-world challenges using live corporate data.

Why Choose This Programme?

• No Tech Major Prerequisites: Designed explicitly as a conversion pathway, enabling humanities, arts, business, or science graduates to build robust data careers from scratch.
• Demand-Driven Specialisations: Align your technical training with distinct market disciplines—Marketing, Supply Chain, or FinTech—to match your exact career goals.
• Storytelling and Visualisation: Moves beyond dry programming scripts to emphasize data visualization tools and storytelling techniques, teaching you how to communicate insights effectively to executive boards.

Entry Requirements

• Academic Minimums: A completed bachelors degree in business or an approved non-business discipline (such as arts, engineering, technology, or science) from a recognized university with a minimum GPA/GPE equivalent of 5.0 (B average) or higher.
• Prerequisite Coursework: Applicants must have successfully cleared an undergraduate-level course in business statistics (STATS 108 or equivalent quantitative paper).
• Alternative Entry Pathway: Candidates who do not meet the minimum entry GPA baseline or are looking for a shorter commitment loop can apply for the Postgraduate Certificate in Business Analytics (PGCertBusAn) as a stepping stone.
• Selection Process: Admission is verified individually. The faculty admissions board reviews academic performance, quantitative readiness, and prior qualification parameters before confirming a placement offer.
• Language Requirement: Academic IELTS score of 6.5 overall (all sub-bands 6.0+) or equivalent.