La Trobe University
Graduate Diploma in Business Analytics
- Delivery: Online
- Study Level: Postgraduate
- Duration: 12 months
- Course Type: Graduate Diploma
Acquire valuable new skills and gain advanced knowledge in business, programming, data engineering and artificial intelligence.
Course overview
Carefully designed to keep you ahead of the trends, La Trobe's Graduate Diploma in Business Analytics will help you develop valuable new skills and allow you to create advanced knowledge in business, programming, data engineering and artificial intelligence.
Grow your career in this fast-moving industry and understand how to develop data-based solutions for real-life business problems. In this practical course, you'll learn the latest tools from industry experts, including industry-standard programs like SAS, Power BI, IBM Cognos, Excel, SQL and R.
Gain insight into businesses and understand what they truly need. Learn how to solve their problems with data-based solutions. You'll develop the highly sought-after skills required to bridge the gap between analytics and non-analytics professionals and craft innovative solutions for a wide range of businesses and organisations.
Learn from world-class academics and be immersed in research at La Trobe's Centre for Data Analytics and Cognition (CDAC). Our CDAC staff teach in the Graduate Diploma in Business Analytics and work with international research groups to develop industry-leading research into artificial intelligence and advanced analytics.
Through extensive guest lectures, you'll also connect with business leaders at companies such as SAS, IBM, Microsoft, PwC and Coles and gain their insights.
Designed to meet the needs of working professionals, you can choose to study on campus, online, or a blend of both. Face-to-face classes are delivered at our Collins Street campus, in the heart of Melbourne's CBD and your core subjects will be offered as evening classes.
Key facts
July, 2026
What you will study
To complete the Graduate Diploma in Business Analytics, you must complete 120 credit points credit points across one year. Each subject is valued at 15 credit points, unless otherwise indicated.
Core subjects credit 90 points
Complete the following:
- Academic Integrity Module
- Cloud Platforms And Analytics
- Customer Analytics And Social Media
- Data Wrangling
- Predictive Analytics
- Principles Of Business Analytics
- Visual Analytics
Core choice subjects 30 credit points
Choose two of the following:
- Business Application Of Analytics
- Introduction To Programming
- Managing It Projects
- Statistics For Business And Finance
Entry requirements
Academic requirements
You are required to have a successful completion of an Australian bachelor's degree (or equivalent).
Admission may be granted to applicants without an undergraduate degree, provided they have five or more years of relevant work experience. When making an offer to an applicant, the university will consider a range of factors, including academic record, English proficiency and employment experience.
Meeting minimum prerequisites does not guarantee an offer of a place. Entry into all courses is based on competitive selection and there may be limited places available.
English language requirements
International students should have a score of 6.5 on the IELTS (Academic) with no individual band score below 6.0. Please reach out to the university to find more information about English language requirements.
Recognition of Prior Learning
Credit for previous study is the recognition of prior study or learning that can be counted towards a qualification. This can reduce the number of subjects required to complete your course. The amount of credit received depends on the level and relevance of your previous study and the number of subjects completed. Contact the university for more details.
Outcomes
Careers outcomes
Graduates may pursue careers in roles such as:
- Business Analyst
- Market Research Analyst
- Business Consultant
- Innovation Consultant
Learning outcomes
- Critically review the organisational context of data and analytics for insights generation and decision-making.
- Analyse and appraise business objectives, ethics, internal and external stakeholders of analytics initiatives in industrial settings
- Design, formulate and evaluate efficient data wrangling methodologies and compelling data visualisations that enable insights generation and advanced analytics applications for organisational decisions.
- Conceptualise, create and interpret predictive analytics capabilities and techniques that leverage organisational data for actionable insights.
- Determine, corroborate and communicate people and project management functions for analytics initiatives.
- Design and create analytics techniques, tools and solutions to address decision challenges in organisational verticals.
- Assess, adapt and evaluate advanced technology platforms and cloud solutions with IT security management for data, analytics and artificial intelligence applications.
Fees and FEE-HELP
Estimated fees per year 2026: $33,800 (domestic full-fee paying place).
All costs are calculated using current rates and are based on a full-time study load of 120 credit points for one year.
A student’s annual fee may vary in accordance with:
- The number of units studied per term.
- The choice of major or specialisation.
- Choice of units.
- Credit from previous study or work experience.
- Eligibility for government-funded loans.
Student fees shown are subject to change. Contact the university directly to confirm.
FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.