Charles Darwin University

Bachelor of Accounting

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Course duration: 3 years

Today’s businesses have an increasing need to make sense of the large quantities of structured and unstructured data that are generated. Understanding how to integrate large and complex data sets, and transform data into meaningful insights and actions, is vital for business success.

The Master of Business Analytics equips students with the analytical skills needed to extract meaning from complex data sets, the ability to converse with other technical experts (such as computer scientists), and the capacity to make meaning of the output. This business expertise is highly sought after in the global workplace.

Students of the Master of Business Analytics will graduate with a range of skills, including:

  • The ability to understand the theoretical background of data analytics and data processing of unstructured data
  • Specialised technical skills to understand, apply and interpret the various approaches to data analysis, be able to adapt strategies to a specific situation and understand the limitations of data
  • Be able to understand the ethical issues related to protecting the rights of individuals and the integrity of data collected and analysed
  • Communication skills to transfer knowledge clearly, effectively and appropriately in relation to data analytics issues
  • The ability to identify and implement the use of data analytics tools and techniques in a variety of business disciplines

Flexibility
We understand that life is busy. That is why our postgraduate courses are designed so you can balance your work and studies. Our flexible postgraduate experience includes the opportunity to study part time, a range of units that are taught after hours, and the option to learn via intensive units.

This course is ideal for:

  • Senior management or professionals who wish to upskill in a growing area allowing you to make stronger and more informed business decisions.
  • Recent Master of Business Administration (MBA) graduates seeking more intensive study in business analytics.
  • Recent Business or Commerce graduates who have specialised in management or accounting and who desire additional capabilities in information and logistics management.
  • Recent Engineering or Science graduates who have specialised in computer science or data science wanting to apply their knowledge to a business and management context.

Campus and Location

Perth Campus

35 Stirling Hwy, Crawley WA 6009

Entry requirements

To be considered for admission to this course an applicant must have:

  • a bachelor’s degree, which includes the completion of a statistics unit or equivalent; and either:
    • the equivalent of a UWA weighted average mark of at least 60 per cent;
    • a valid Graduate Management Admission Test (GMAT) score of at least 550;
    • at least five years of relevant, documented professional experience considered by UWA to be sufficient to permit satisfactory completion of the course;
    • Completion of the Graduate Certificate in Business Analytics with a WAM of 60%.

English requirements:
English is the language of instruction and assessment at UWA and you will need to meet the English language requirements of the University to be eligible for a place.

  • IELTS – Minimum overall score of 6.5 with no band less than 6.0 (must include Academic Reading and Writing modules)
  • CAE – Minimum grade of 180 with no band less than 170
  • PTE – An overall score of 64 with a minimum score of 59 in the speaking and writing sections, and no less than 54 in the listening and reading sections.
  • TOEFL – Essay Rating / Test of Written English (TWE) of 4.5 and either 230 (Computer-based) or 570 (Paper-based) score.
    Internet-based Test (iBT): An overall score of 82 with a minimum score of: 22 in the Writing section; 18 in the Reading section; 20 in the Speaking section; and 20 in the Listening section

Subjects

Core

  • Fundamentals of Business Analytics
  • Data Storytelling
  • Business Analytics Industry Project

Option – Group A (up to 3)

  • Blockchain and Distributed Ledger Technologies in Business
  • Economic Research and Evaluation Methods
  • Human Resource Analytics
  • Business Intelligence
  • Big Data in Marketing

Option – Group B (up to 5)

  • Introductory Financial Accounting
  • Applied Professional Business Communications
  • Programming for Business
  • Open Source Tools and Scripting
  • Cloud Computing
  • Data Warehousing
  • Machine Learning
  • Applied Advanced Econometrics
  • Economics for Business: Applications and Policy
  • Enterprise Information Systems
  • Models for Logistics, Operations and Services
  • Management and Organisations
  • Digital Marketing

What’s next?

Graduates may be employed in a range of industry globally. Outcomes include:

  • Data analyst
  • Business analyst
  • Market economist/analyst
  • Financial analyst
  • Human resource analyst
  • Business intelligence analyst
  • Insights analyst
  • Data consultant
  • Senior business analyst

Tuition fees

The approximate of the annual tuition fee for commencing students is: AU $38,600

Prices are subject to change and the final school offer will be presented after submitting the application.

Scholarships are available to students from a diverse range of backgrounds, including academic achievement, financial need, educational disadvantage, leadership and community service, artistic or sporting achievements, and being from a rural or remote area.

Important dates

Applying to schools is free and non-binding. Our consultants will prepare your application for the course you are interested in. We will only ask you to provide information and documents.

Course duration: 2 years

Intake dates: October, May

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