Quant Analysis for Managerial Decisions (MGMT90048)
Graduate courseworkPoints: 12.5Not available in 2025
About this subject
Overview
Fees | Look up fees |
---|
This subject involves skill building in statistical and decision analysis methods for managers, including probability, decision trees and linear programming, and correlation and regression techniques.
Intended learning outcomes
Students who successfully complete this subject should:
- Understand the role of statistical analysis in managerial decision making
- Appreciate decision modeling as a way of learning about commercial decisions
- Understand utility and other models for understanding complex decisions
- Be able to formulate linear programs to model business decisions
- Appreciate a range of management science models
Generic skills
On successful completion of this subject students should have enhanced their skills in:
- Ethical behaviour in leadership and organisations
- Analysis and problem solving
- Capacity for intellectual curiosity, creativity and independent thought
- Communication of key ideas and theories within the discipline areas
- Capacity for effective teamwork and collaboration
- Information retrieval and application in relation to practical problems.
Last updated: 4 March 2025
Eligibility and requirements
Prerequisites
Admission into the MC-ENT Master of Enterprise
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 4 March 2025
Assessment
Description | Timing | Percentage |
---|---|---|
Take-home exam
| Due on the Tuesday after the delivery | 20% |
Assignment
| 4 Weeks after the end of teaching | 30% |
Field project
| 8 Weeks after the end of teaching | 50% |
Last updated: 4 March 2025
Dates & times
Not available in 2025
Time commitment details
Estimated total time commitment of 170 hours per semester
Last updated: 4 March 2025
Further information
- Texts
- Links to additional information
- Available to Study Abroad and/or Study Exchange Students
Last updated: 4 March 2025