Academic Item Menu

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 to develop a high level of understanding of the principles and practices of qualitative and quantitative decision making tools for analysing complex operations environments and making appropriate decisions within that environment.

Campus

Canberra

Study Level

Postgraduate

Typical duration

1 Years

Delivery Mode

Distance

Intake Period

Semester 1, Semester 2

Academic Calendar

UNSW Canberra Calendar

Minimum Units of Credit

48

Award type

Masters (Coursework)

Award(s)

Master of Decision Analytics - MDA

Expand Learning Outcomes accordion 1 Collapse Learning Outcomes accordion 1
Expand Learning Outcomes accordion 2 Collapse Learning Outcomes accordion 2
Expand Learning Outcomes accordion 3 Collapse Learning Outcomes accordion 3
Expand Learning Outcomes accordion 4 Collapse Learning Outcomes accordion 4
Expand Learning Outcomes accordion 5 Collapse Learning Outcomes accordion 5
Expand Learning Outcomes accordion 6 Collapse Learning Outcomes accordion 6
Expand Learning Outcomes accordion 7 Collapse Learning Outcomes accordion 7

Program Structure

Students must complete 48 UOC as a standalone program.

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

Expand All Collapse All
Entry Requirements
Progression Requirements

Recognition of Achievement

Award with Excellence

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)

Helpful utilities like sharing or printing this page
Share Link via Email
Download PDF