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Unit of study_

PMGT5866: Quantitative Methods in Project Management

2023 unit information

The discovery, interpretation, and communication of meaningful patterns in project data are essential to effective decision-making. Analytics can help project managers use predictive information to make better choices. This unit of study covers how analytics could be used in project management to access feasibility, analyse project portfolio for selection and prioritization, and predict project success. Students will be developing the skills to use a range of analytics techniques with a variety of data. They will also have the opportunity to learn how to present analytics in a meaningful way for business use.

Unit details and rules

Managing faculty or University school:

Project Management

Code PMGT5866
Academic unit Project Management
Credit points 6
Prerequisites:
? 
None
Corequisites:
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None
Prohibitions:
? 
PMGT6867
Assumed knowledge:
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None

At the completion of this unit, you should be able to:

  • LO1. Gain a comprehensive understanding of analytics and how to apply it for project feasibility assessment.
  • LO2. Develop the ability to leverage predictive analytics to forecast project outcomes and inform decision-making processes.
  • LO3. Acquire the skills necessary to apply analytical techniques for effective project portfolio management, including selection and prioritisation.
  • LO4. Enhance proficiency in utilising a wide range of analytics approaches to handle diverse data types in project management scenarios.
  • LO5. Implement analytics skills in practical project management situations, enabling to solve real-world problems using data-driven insights.

Unit availability

This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.

The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.

There are no availabilities for this year.
Session MoA ?  Location Outline ? 
Semester 2 2023
Normal evening Camperdown/Darlington, Sydney
Semester 2 2023
Online Camperdown/Darlington, Sydney

Modes of attendance (MoA)

This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.