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Managerial Decision Analytics (MGMT90280)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
Contact information
Semester 1
Medo Pournader - mpournader@unimelb.edu.au
Semester 2
A/Prof Lusheng Shao - lusheng.shao@unimelb.edu.au
Overview
Availability | Semester 1 Semester 2 |
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Fees | Look up fees |
With the explosion of data, it is critical that businesses harness the right analytical tools to make effective use of the available data. This subject is designed to equip students with a range of tools and techniques that are necessary for effective decision making. Key topics covered include both prescriptive and predictive analytics. Emphasis will be given to potential applications of these tools and techniques in various functional areas including international business, marketing, supply chain, and strategy.
Intended learning outcomes
On successful completion of this subject, students should be able to:
- Develop the competence required to evaluate a business problem from an analytical perspective
- Understand new decision analytics and emerging technologies and their potential in the workplace
- Appreciate software capabilities used for business analysis
- Apply the methods, tools and techniques learned to real word business problems
- Understand and evaluate the power and limitations of optimisation and data analytical techniques
Generic skills
On successful completion of this subject, students should have improved the following generic skills:
- Problem-solving skills through written exercises and case discussions
- Critical thinking skills through written exercises, case discussions, and the selection of reading materials
- Teamwork skills through group assignments and team-based exercises
- Verbal and written communication skills through discussion, presentation and written exercises
- Research skills through the search and review of literature and preparation of the written exercises
- Analytical skills through analyzing the data, and the frameworks and tools that will be learned
Last updated: 8 November 2024