Bond University
Master of Data Analytics
- Delivery: Face to Face
- Study Level: Postgraduate
- Duration: 16 months
- Course Type: Master's
Equip yourself with advanced knowledge and techniques that enhance business decision-making applicable across various industry sectors.
Course overview
The Master of Data Analytics is delivered via smaller classes, providing personalised support and unparalleled access to Bond University's Bond Fin Tech Hub and Bloomberg data‑sourcing terminals. This program focuses on strategically sound recommendations and data‑driven business decisions.
As a Bond Business School student, you will have access to exclusive facilities, including the Bond FinTech Hub, where you can gain Bloomberg certification and the Centre for Data Analytics, offering unparalleled opportunities to work with experts in the field. Through the program’s comprehensive curriculum, you will be prepared to meet the growing demand for data‑driven expertise and make a substantial impact in your chosen industry.
The program’s flexible structure allows students to specialise in key areas such as Accounting Analytics, Economic Modelling, Health System Analytics, Marketing Analytics, Psychometrics, Quantitative Finance or Sports Analytics.
Key facts
September, 2026
January, 2027
May, 2027
January, 2028
What you will study
To complete the Master of Data Analytics, you must fulfil 120 credit points.
Students must complete the following eighty credit points of subjects.
- Data Science
- Infrastructure for Data Analytics
- Deep Learning Through Neural Networks
- Statistical Learning and Regression Models
- Applied Data Analytics Project
- Modern Machine Learning Models
- Linear Models and Applied Econometrics
- Quantitative Methods
Entry requirements
Successful completion of a recognised Bachelor's degree (or equivalent qualification) in any field.
Alternative entry option
You may use prior work experience to apply for entry into this program. To do so, you will need to provide documentation of your employment history, including providing a statement from your employer about your position, time in the role and a brief overview of the role you performed.
Contact the university or visit its website for more information.
Recognition of Prior Learning
You may be able to get credit for your course based on prior formal, non-formal or informal learning. To apply, you will need to provide supporting documentation outlined by the university. Contact the university for more information.
Outcomes
Career outcomes
- Business Analyst
- Data Scientist
- Statistical Consultant
Learning outcomes
- Identify appropriate data sources and associated analytic techniques to address statistical problems and develop creative and flexible data-based solutions to industry problems.
- Demonstrate proficiency in data visualisation and applying and interpreting statistical models and machine learning algorithms to solve problems in various contexts and a wide range of business disciplines and beyond.
- Perform basic computational and programming tasks associated with data analytics.
- Interpret the output of data analytic models and undertake appropriate diagnostic procedures to assess the appropriateness of the chosen model for the data being analysed.
- Communicate the results of technical analysis to non-technical audiences.
Fees and FEE-HELP
Indicative semester program fee in 2026: $16,975 (domestic full-fee paying place)
Indicative total program fee in 2026: $67,900 (domestic full-fee paying place)
All costs are calculated using current rates and are based on a study load of 120 credit points (12 subjects).
Student annual fees may vary in accordance with:
- The number of subjects studied per term.
- The choice of major or specialisation.
- Choice of subjects.
- Credit from previous study or work experience.
- Eligibility for government-funded loans.
You may also need to pay the student services and amenities fee.
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.