Business
Master of Business Analytics
Learning Mode
Full Time
Duration
1.5 – 2 Years (depending on prior qualifications)
Start date
March, July, November
Qualification
Master Degree (AQF Level 9)
Fees
AUD 43,000
Location
Burwood (Melbourne), Waterfront (Geelong)
About the Course
The Master of Business Analytics at Deakin University is an advanced postgraduate program meticulously designed to equip you with the strategic and analytical skills required to transform raw data into actionable business insights. In today’s competitive landscape, organisations increasingly rely on data to make informed decisions and gain a competitive edge. This degree combines a strong foundation in business principles with cutting-edge analytical methodologies, preparing you to lead data-driven initiatives.
You will delve into topics such as statistical modelling, predictive analytics, data Visualisation, and optimization, learning to apply these techniques to real-world business challenges. The program emphasizes hands-on experience with industry-standard software and tools, ensuring you develop practical expertise that is immediately relevant to the workplace. Deakin’s strong connections with industry ensure the curriculum is current and prepares you for high-demand roles in a rapidly evolving global market.
Career prospects
Graduates of the Master of Business Analytics are highly sought after by a wide range of industries, including finance, retail, marketing, supply chain, healthcare, and consulting. You will be prepared for specialist and leadership roles that leverage your ability to interpret complex data, identify trends, and provide strategic recommendations. This qualification positions you as a valuable asset for organisations seeking to optimize performance and make smarter, data-driven decisions.
Why choose Business Analytics at Deakin?
Industry-focused and practical
Gain in-demand skills through hands-on training with real business problems, shaped by current industry needs and tools.
Expert faculty and facilities
Learn from experienced academics and professionals using modern labs and software to develop advanced analytical capabilities.
Career acceleration
Advance quickly with a powerful mix of business knowledge and analytics expertise valued across global industries.
Course Overview
The Master of Business Analytics (M746) at Deakin University is an 8 or 12-credit point (1.5 or 2-year full-time equivalent) postgraduate degree designed for professionals seeking advanced expertise in data-driven decision-making within a business context. The program integrates business knowledge with analytical methodologies.
The course structure typically includes:
- Business Fundamentals (for 2-year entry): Foundational units in economics, accounting, or management for students without a prior business background.
- Core Analytics Techniques: Advanced units in statistical analysis, predictive modelling, data Visualisation, and optimization for business.
- Business Applications: Focus on applying analytical skills to specific business functions such as marketing, finance, operations, or supply chain.
- Capstone Experience: A major industry-based project or a research project, providing practical application of learned skills to a complex business problem.
This program ensures graduates are capable of leveraging data strategically to drive organizational success.
Course Duration
Length of the course
- 2 years full-time (12 credit points) for students with a Bachelor’s degree (non-cognate) or equivalent.
- 1.5 years full-time (8 credit points) for students with a Bachelor’s degree in a cognate discipline (e.g., Business, Commerce, IT, Science with significant quantitative components) or a relevant graduate certificate/diploma.
Mode of Study for international students:
- Full-time enrolment is generally required for international students to comply with visa regulations.
Course Curriculum
The Master of Business Analytics curriculum is structured to provide a deep understanding of analytical methods and their strategic application to various business functions.
- Core Analytics Units These units form the foundation of the degree, covering essential analytical methodologies. Examples include: Fundamentals of business analytics, Data Visualisation and communication, Predictive analytics, Data mining for business, and Optimization and simulation.
- Business Applications and Advanced Topics Building on the core, this section applies analytical techniques to specific business challenges. Units might cover: Marketing analytics, financial analytics, Supply chain analytics, and Customer relationship management analytics. There are also opportunities to explore emerging topics like AI in business.
- Capstone Project The program culminates in a significant capstone project, which can be an industry-based project or a comprehensive research project. This allows students to apply their integrated knowledge and skills to a real-world business analytics problem, providing valuable portfolio experience.
Admission Requirements
Entry Criteria
- Academic qualifications Applicants must have successfully completed one of the following:
- A Bachelor’s degree (or equivalent qualification) in a cognate discipline (e.g., Business, Commerce, IT, Science with significant quantitative components) with a minimum Weighted Average Mark (WAM) of 60% or equivalent, for the 1.5-year program.
- A Bachelor’s degree in any discipline with a minimum WAM of 60% or equivalent, for the 2-year program.
- A relevant Graduate Certificate or Graduate Diploma with a minimum WAM of 60% or equivalent.
- Prerequisite Knowledge (for 2-year program): Students entering the 2-year program without a cognate background may need to complete foundational units in business or quantitative methods.
Language Proficiency
- English language requirements (e.g., IELTS, TOEFL) For international applicants, demonstrated proficiency in English is mandatory. This is typically evidenced by:
- IELTS Academic: Overall band score of 6.5, with no band less than 6.0.
- TOEFL iBT: Minimum score of 79, with specific minimum scores for reading (13), listening (12), speaking (18), and writing (21).
- PTE Academic: Overall score of 58, with no communicative skill score less than 50.
Fees and Funding
Tuition Fees:
- AUD 43,000 (Postgraduate – per 1 year full-time for international students).
Scholarships and Bursaries:
Deakin University offers a range of scholarships and financial aid opportunities to support eligible students in their Master of Business Analytics studies. These include:
- Deakin Vice-Chancellor’s Academic Excellence Scholarship: For high-achieving international students.
- Deakin Business and Law International Scholarship: Specifically for international students studying within the Faculty of Business and Law.
- Deakin STEM Scholarship: Open to international students pursuing STEM degrees, which can include business analytics.
- Various other bursaries and support schemes are available, designed to assist students with their study costs and enhance their educational experience.
Career Opportunities
Potential job roles and industries Graduates of Deakin’s Master of Business Analytics program are highly sought-after professionals, equipped with advanced analytical skills and business acumen to drive data-informed strategies across a vast array of industries.
Common career paths include: Business Analytics Manager, Senior Business Analyst, Data Strategist, Business Intelligence Consultant, Predictive Analytics Specialist, Marketing Analytics Manager, Operations Research Analyst, Financial Modeler, Data Product Manager, and Management Consultant (specializing in analytics). These roles span sectors such as financial services, retail, technology, healthcare, logistics, manufacturing, telecommunications, and government, offering dynamic and impactful career trajectories both in Australia and globally.
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