Master of Decision Analytics

What you will study

To earn the Master of Decision Analytics,  you must successfully complete units totalling 48 credit points, as detailed below. Unless otherwise noted, each course is worth 6 credit points.

Core units

• Evidence-based Decision Making
• Capability Option Analysis
• Decision Making Analytics
• Simulation

Elective units

Select 24 credit points from the following:

• Advanced Test and Evaluation Techniques
• Project Management Body of Knowledge
• Systems Thinking and Modelling
• Simulation Applications
• Research Practices for Operations Analysis
• Applied Machine Learning

Research project

Students can take a 12 credit point research project in one semester or across two semesters.

• Project Report - Decision Analytics Part-Time (6 credit points)
• Project Report - Decision Analytics Full-Time (12 credit points)

Entry requirements

Academic requirements

To gain entry into the Master of Decision Analytics, applicants must meet one of the following entry requirements:

• Completion of a bachelor's degree with honours in the same or a related discipline* from a recognised institution.
• Completion of a graduate diploma or graduate certificate in the same or a related discipline from a recognised institution.
• Completion of a bachelor's degree in the same or a related discipline from a recognised institution; and completion of at least three years of relevant full-time professional experience.
• Completion of a bachelor's degree in a non-related discipline; and completion of at least four years of relevant full-time professional experience.
• Evidence of other qualifications and professional experience to be assessed as acceptable grounds for admission into the program by the relevant program authority. In certain circumstances, students may be required to undertake and successfully complete a relevant non-award course as a condition for admission into the program. This non-award course may also be credited towards the program upon admission.

*Related discipline/s: Engineering, business and management, mathematical sciences and information technology.

English language requirements

You may be asked to provide evidence of your English proficiency to study at UNSW depending on your educational background and citizenship. English language skills are vitally important for coping with lectures, tutorials, assignments and examinations.

If you’re completing an Australian Year 12 qualification (e.g. NSW HSC or equivalent), you do not need to provide anything extra to prove your proficiency. Your qualification will be used as evidence of your English proficiency.

If you do need to provide evidence of your English proficiency, this will be indicated in your application. You can prove this by providing evidence that you meet one or more of the following criteria:

• English language tests and university English courses.
• Prior study in the medium of English.
• Other qualifications.

Contact the university or visit its website for more information.

Recognition of Prior Learning

You may be eligible for recognition of prior learning if you have previously studied or have relevant work experience. This will help reduce the number of units you need to study to finish your course. Contact the university for more information.

Outcomes

Learning outcomes

• Evaluate the accuracy and effectiveness of solutions to decision-making problems using defined tools and processes.
• Demonstrate awareness in projects of relevant and current issues as they relate to decision-making tools and processes.
• Critically analyse the decision-making process using quantitative data analysis and experimentation methodologies.
• Demonstrate through projects, ethical, self-directed practice by synthesising decision-making problems from real-life situations, applying appropriate techniques to analyse the solutions, and appropriately interpreting the solutions for stakeholders.
• Use inquiry-based methodologies to synthesise complex information in formulating decision-making problems.
• Articulate a broad and complex body of knowledge about modelling tools for various types of complex decision problems.
• Investigate the capability and limitations, and use of modelling tools and decision-making techniques to make complex decisions.

Career outcomes

Potential roles:

• Analytical Researcher
• Business Intelligence Consultant
• Computational Problem-Solving Analyst
• Data Analyst
• Defence Strategy Analyst
• Operations Manager
• Organisational Strategy and Decision Analyst
• Policy Analyst (Data-Driven Decision Making)
• Project Manager
• Risk Management Analyst
• Strategic Consultant
• Systems Analyst

Fees and FEE-HELP

Indicative annual fee in 2026: $41,000 (Full-fee paying place)

Indicative annual fees are based on your first year of study.

A student’s annual fee may vary by:

• The number of units studied.
• 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 program.