| Program start date | Application deadline |
| 2024-04-29 | - |
Program Overview
Victoria University's Master of Business Analytics equips students with the skills to harness data for business decision-making and innovation. Through a comprehensive curriculum covering data analysis, machine learning, and AI, graduates become masters of their data and drive business success. The program emphasizes hands-on learning, industry partnerships, and prepares students for leadership roles in the field of business analytics.
Program Outline
Degree Overview:
Overview:
The Master of Business Analytics from Victoria University is designed to equip students with the in-demand skills necessary for a successful career in applying data to solve business problems. This program aims to transform students' understanding of data principles and their application in driving business decisions and innovation. By harnessing the power of data science, data visualization, machine learning, and artificial intelligence (AI), graduates will become masters of their data and, subsequently, masters of their businesses.
Objectives:
- To provide students with a comprehensive understanding of the principles and applications of business intelligence and business analytics
- To equip students with the practical skills necessary to collect, manage, analyze, and interpret data to generate actionable insights
- To develop students' critical thinking and problem-solving abilities to make informed data-driven decisions
- To foster students' communication and presentation skills to effectively convey data-driven insights and recommendations to stakeholders
- To prepare students for leadership roles in the field of business analytics
Outline:
Program Content:
The Master of Business Analytics covers a broad range of topics including:
- Data wrangling and visualization
- Predictive analytics and big data
- Artificial intelligence and machine learning for business
- Data security and governance
- Cloud technology
- Business data mining and warehousing
- IT project management
Structure:
The program consists of:
- 48 credit points of college core units
- 96 credit points of professional core units
- 12 credit points of BMO5501 Business Ethics and Sustainability
- 12 credit points of BMO7006 Applied Business Project (Capstone)
- 24 credit points of elective units
Course Schedule:
The program is offered on a full-time or part-time basis. Full-time students typically complete the program in two years, while part-time students may take longer.
Individual Modules:
College Core Units
- Accounting for Management (BAO6504)
- Data Analysis for Business (BEO6000)
- Business Economics (BEO6600)
- Work and Organization Systems (BMO6506)
Professional Core Units
- Predictive Analytics (BCO6008)
- Business Analytics and Visualization (BCO7000)
- Experience Management (BCO7002)
- Analytics Project Management (BCO7003)
- Business Data Mining and Warehousing (BCO7004)
- Data Security and Governance (BCO7005)
- Coding for Business Analytics (BCO7006)
- Artificial Intelligence and Machine Learning for Business (BCO7007)
Core Units
- Business Ethics and Sustainability (BMO5501)
- Applied Business Project (BMO7006)
Electives
Students can choose from a range of elective units to tailor their program to their interests and career aspirations.
Assessment:
Assessment Methods:
Students will be assessed through a variety of methods including:
- Assignments
- Quizzes
- Exams
- Presentations
- Projects
Assessment Criteria:
Students will be assessed on their:
- Knowledge and understanding of the concepts and theories of business analytics
- Ability to collect, manage, analyze, and interpret data
- Ability to apply business analytics techniques to solve business problems
- Ability to communicate and present data-driven insights and recommendations effectively
Teaching:
Teaching Methods:
The program is delivered through a combination of lectures, tutorials, workshops, and online learning.
Faculty:
The program is taught by a team of experienced academics and industry professionals.
Unique Approaches:
- The program emphasizes hands-on learning through practical projects and case studies.
- Students have access to industry-standard software and technologies.
- The program is supported by a strong network of industry partners.
Careers:
Career Paths:
Graduates of the Master of Business Analytics are qualified for a wide range of positions in the field of business analytics, including:
- Business analyst
- Business intelligence analyst
- Machine learning and AI consultant
- Data scientist
Opportunities:
Graduates will have opportunities to work in a variety of industries, including:
- Finance
- Healthcare
- Retail
- Manufacturing
- Consulting
Outcomes:
Graduates of the Master of Business Analytics are highly sought after by employers and have a strong track record of career success.
Entry Requirements:
To be considered for postgraduate study, you will need to have specific academic qualifications, as outlined below. We also consider non-academic research and work experience for our research candidates.
- Admission criteria
- Completion of an Australian Bachelor degree (or equivalent) in any discipline
- OR
- Completion of an Australian Graduate Diploma (or equivalent) in a similar discipline
- OR
- Applicants without an undergraduate qualification may be admitted to the Graduate Diploma based on approved work experience. Upon completion of the Graduate Diploma, graduates will be eligible for admission to this course with credit granted for completed units.
