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Overview

The Master of Decision Analytics, (MDA), is designed for postgraduate scholars with an undergraduate qualification and/or extensive professional experience who wish to develop a high level understanding of the principles and practices of decision analytics and to strengthen their skills in this area. The MDA program aims to allow students … For more content click the Read More button below.

Learning Outcomes

1.
Evaluate the accuracy and effectiveness of solutions to decision-making problems using defined tools and processes;
  • Professionals
  • Leaders
2.
Demonstrate awareness in projects of relevant and current issues as they relate to decision-making tools and processes;
  • Leaders
  • Professionals
3.
Critically analyse the decision-making process using quantitative data analysis and experimentation methodologies;
  • Professionals
  • Scholars
4.
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 stake-holders.
  • Professionals
  • Global citizens
5.
Use inquiry-based methodologies to synthesize complex information in formulating decision-making problems;
  • Professionals
  • Leaders
  • Scholars
6.
Articulate a broad and complex body of knowledge about modelling tools for various types of complex decision problems;
  • Scholars
  • Professionals
7.
Investigate the capability and limitations, and use of modelling tools and decision-making techniques to make complex decisions;
  • Professionals
  • Scholars

Program Structure

Students must complete 48 UOC when taken as a standalone program.

1. Core courses - 24 UOC
2. Prescribed elective courses - 24 UOC

Research Project

Enrolment Disclaimer

Please note that this Handbook is a comprehensive catalogue of our offerings and includes courses that can be taken to satisfy program requirements irrespective as to their availability for a particular year. Availability of courses is best checked using filters on this site or on the class timetable site.

You are responsible for ensuring that you enrol in courses according to your program requirements and by following the advice of your Program Authority. myUNSW enrolment checks that you have met enrolment requirements such as pre-requisites for individual courses but not that you are enrolling in courses that will count towards your program requirements.

Admission Requirements

Entry Requirements

Minimum Entry Requirements

Program Requirements

Progression Requirements

Students who do not complete the full Master program requirements may exit the program with a Graduate Certificate in Operations Analysis (7634) qualification after completing a minimum 24 UOC. Of the four courses (24 UOC) students must have completed two core courses (ZEIT8402 Evidence-based Decision Making and ZEIT8404 Decision Making Analytics) plus two courses (core or elective). For any advanced standing granted on entry into the Masters program, a maximum 12 UOC (for the elective course only) advanced standing can be applied to the Graduate Certificate.

For more information on university policy on progression requirements please visit Academic Progression

Recognition of Achievement

Award with Excellence
For more information, please visit the link above.
The Award with Excellence is awarded in coursework masters programs, including Masters (Extension) but with the exception of Masters (Extended) such as JD and MD, when a Weighted Average Mean (WAM) of at least 80% has been achieved and at least 50% of the requirements of the award are completed at UNSW. All eligible programs will award 'with Excellence' except in special circumstances where approval of Academic Board has been given for a program to opt out.

Program Fees

At UNSW fees are generally charged at course level and therefore dependent upon individual enrolment and other factors such as student's residency status. For generic information on fees and additional expenses of UNSW programs, click on one of the following:

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)