Master of Business Analytics at Victoria University, Australia

With a Master in Business Analytics from Victoria University, you can acquire marketable, valuable skills for a meaningful career involving the use of data to solve business challenges. Also , you can use data to discover a new career path, enhance your skills, or change the way you run your business! Be the boss of both your company and your data.

Description


With a Master in Business Analytics from Victoria University, you can acquire marketable, valuable skills for a meaningful career involving the use of data to solve business challenges. Also , you can use data to discover a new career path, enhance your skills, or change the way you run your business! Be the boss of both your company and your data.


Besides that, our Master of Company Analytics program teaches skills you may use every day to solve business difficulties, discover new possibilities, and manage the market. By using R and Python, cloud platforms like AWS and Github, and our global relationship with SAP, you'll study data science, data visualization, machine learning, and AI (AI). More importantly, you'll learn how to apply these concepts to your business in order to profit from them.


Also, our course builds on our outstanding ties with regional companies and international partners to provide you with real-world experience using data to solve challenges. You will develop a portfolio of projects to include on your CV using a continuous analysis of the demands of the labor market. Our Postgraduate Data Analytics organization will also provide you with several chances to develop your professional network and obtain mentorship experience.


The Master of Business Analytics programme covers the following topics:


  • 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.

What you will study

Program Structure


Students must complete 192 credit points, which include the following, in order to earn the Master in Business Analytics degree:


  • Core units - 48 credit 

  • Professional core units -  96 credit 

  • Business Ethics and Sustainability - 12 credit 

  • Applied Business Project (Capstone) - 12 credit

  • Elective units - 24 credit 

Learning Outcomes

After passing this course, students will be qualified for:


  1. Analyze theoretical concepts and their implementation critically in order to effectively utilize business intelligence and business analytics to assist operations and management practice;


  1. Assess business challenges and make recommendations for modern business intelligence/business analytics systems; justify and grasp theoretical claims and related bodies of knowledge.


  1. Consider how cross-disciplinary knowledge is used in decision-making, including the selection, implementation, and usage of BI/analytics systems in new situations.


  1. Accountability in your own and others' judgments, as well as creative strategic thinking in response to business intelligence and analytics problems


  1. Create, implement, and review industry-specific investigations to solve professional challenges using BI/BA systems and linked information systems.


  1. Effectively communicate business intelligence and analytics to specialist and non-specialized audiences, such as multidisciplinary teams, diverse cultural communities, corporate organizations, and professional organizations;


  1. Propose and carry out a large research-based project or evidence-based capstone experience related to a current business intelligence/business analytics system.


  1. Demonstrate initiative and inspirational leadership while acting ethically, morally, and intelligently in a contemporary workplace.

Career Opportunities

With a Master of Business Analytics, you can become competent for the following positions:

  • Business analyst

  • Business intelligence analyst

  • Machine learning and AI consultant

  • Data scientist.


Our graduates are being hired in a variety of specialized industries. Among the businesses that have employed our alumni are:

  • Accenture

  • AGL

  • BHP

  • British Petroleum (UK)

  • Cadbury Schweppes

  • Carter Holt Harvey

  • China Air Express

  • Ernest & Young

  • Exxon Mobil Ltd

  • IBM

  • Linfox

  • Siemens

  • Unisys.

Admission Requirements

Entry Requirements

  • Completion of a Bachelor's degree from an Australian university in any field


  • Having obtained an Australian Graduate Diploma (or its equivalent) in a relevant discipline

English Language Requirements

  • IELTS - 6.5

  • TOEFL - 67

  • PTE - 50

Tuition Fee

  • For Domestic Students - Commonwealth Supported Place (CSP)

  • For International Students - AUD $46,500 













$15,500
  • Level
    Masters Coursework
  • Delivery
    On Campus
  • Duration
    2 years
  • Application Fee
    None
  • Intake
    August
  • Language Test Score
    IELTS, TOEFL, PTE, CAE
  • Scholarship
    10% tuition fee discount