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Business

Master of Business Analytics (Extension)

Learning Mode

Full Time

Duration

2 Years

Start date

March, July, November

Qualification

Master of Business Analytics (Extension)

Fees

AUD 25,825

Location

Melbourne / Sydney / Brisbane / Adelaide / Perth, Australia

About the Course

The Master of Business Analytics (Extension) at Kaplan Business School is a highly practical and comprehensive postgraduate program designed for graduates and professionals seeking to master the power of data for strategic business decision-making. This extended program provides in-depth knowledge and advanced skills in data analysis, statistical modelling, machine learning applications, data Visualisation, and business intelligence tools. You will learn to translate complex data into actionable insights, identify business opportunities, predict trends, and optimize operations across diverse industries, preparing you to drive data-driven innovation and competitive advantage.

Career prospects

Graduates of the Master of Business Analytics (Extension) program are highly sought after across a wide range of industries, including consulting, finance, marketing, logistics, healthcare, and technology, both in Australia and internationally. The program prepares students for specialized roles such as Business Analyst, Data Analyst, Business Intelligence Analyst, Data Scientist (entry-level), Marketing Analyst, Operations Analyst, and roles in strategy and consulting. Our strong emphasis on practical application, industry-relevant tools, and real-world case studies ensures graduates are well-equipped for impactful careers in the growing field of business analytics.

Why choose Kaplan Business School for a Master of Business Analytics (Extension)?

Industry connected

Kaplan’s program combines real-world analytics projects, expert insights, and networking to ensure graduates gain highly practical, industry-ready skills.

Global opportunities

The globally recognized curriculum equips students to lead data-driven solutions across multinational businesses using AI, big data, and analytics.

Professional accreditation

Though formal accreditation evolves, the program aligns with key industry competencies, boosting graduate credibility and advancement in analytics careers.

Course Overview

The Master of Business Analytics (Extension) program at Kaplan Business School provides a robust and hands-on learning experience, designed to develop highly skilled and strategic business analysts. The curriculum integrates statistical concepts, computational methods, and business intelligence tools, with a strong focus on their application to real-world business challenges. Students will gain expertise in data collection, cleaning, analysis, interpretation, and communication of insights using industry-standard software and programming languages (e.g., Python, R, SQL, Tableau, Power BI). The program emphasizes hands-on projects, critical thinking, and ethical considerations in data analysis, fostering a deep understanding of how data can drive organizational success.

Course Duration

Length of the course

  • 2 years full-time (equivalent to 15 subjects)

Mode of Study for international students:

  • Full-time (on-campus)

Course Curriculum

The Master of Business Analytics (Extension) curriculum is structured to provide a comprehensive understanding of business analytics principles, advanced applications, and a culminating capstone experience.

  1. Core Business Analytics Subjects (9 units):
    • Analytics Foundations, Data Driven Business, Data Warehousing, Data Visualisation and Reporting, Business Modelling for Analytics, Machine Learning for Business, Big Data Analytics, Research Methods in Business, Business Analytics Capstone.
  2. Specialised Business Analytics Electives (4 units):
    • Students choose from a range of advanced electives such as Advanced Machine Learning, Marketing Analytics, Financial Analytics, Supply Chain Analytics, or Project Management for Business Analytics.
  3. MBA Electives (2 units):
    • Students select two interdisciplinary MBA electives, providing broader business management knowledge to complement their analytics expertise.

Admission Requirements

  • Academic qualifications
    • A Bachelor’s degree (AQF Level 7 equivalent course) from a recognized university.
    • OR, an Advanced Diploma/Associate Degree (AQF Level 6 equivalent course) plus evidence of a minimum of two years’ relevant industry experience.
  • Prior learning recognition
    • Recognition of prior learning (RPL) may be available for relevant previous study or work experience.

Language Proficiency

  • English language requirements (e.g., IELTS, TOEFL)
    • For international students, demonstrated English language proficiency is required. Acceptable tests include IELTS (Academic) with an overall score of 6.0 (with no less than 6.0 for Speaking and Writing, and 5.5 for Listening and Reading), or equivalent PTE Academic (score of 50), TOEFL iBT (score of 64), or Kaplan Test of English (KTE) score greater than 426 overall.

Fees and Funding

Tuition Fees:

  • AUD 25,825 for 1 yr full-time

Scholarships and Bursaries:

  • Kaplan Business School offers various scholarships for postgraduate students, including High Achievers Scholarships, Dean’s Awards, Alumni Scholarships, and International Student Scholarships (region-specific). These opportunities can provide significant tuition fee reductions. Prospective students are encouraged to explore the Kaplan Business School scholarships website for detailed information and application processes.

Career Opportunities

Graduates of the Master of Business Analytics (Extension) program are well-prepared for strategic roles were data analysis drives business outcomes. Potential job roles include Business Analyst, Data Analyst, Business Intelligence Analyst, Data Scientist (entry-level), Management Consultant (analytics focus), Marketing Analyst, Operations Analyst, Financial Analyst, and roles in strategic planning. Industries employing our graduates span consulting, finance, marketing, logistics, healthcare, retail, technology, and any sector leveraging data for competitive advantage.

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