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Master of Business Analytics (MC-BUSANA) // Attributes, outcomes and skills
You’re currently viewing the 2023 version of this course
About this course
Contact
Melbourne Business School
Currently enrolled students:
Degree Program Services
Email: programservices@mbs.edu
Future students:
Admissions Office
200 Leicester Street
Carlton Victoria 3053 Australia
Tel: 61 3 9349 8200
Email: study@mbs.edu
Academic Director: Dr. Simon Holcombe
Coordinator
Simon Holcombe
Intended learning outcomes
On completion of this course, students should be able to:
- Identify appropriate analytic techniques to address business problems - Students will translate business decision problems into quantitative form. - Students will diagnose a situation and identify appropriate applications of statistical models, data mining and optimisation techniques
- Apply analytical skills and technical methods to develop innovative solutions in business contexts - Students will investigate data structures relevant to business environments and problems - Students will appropriately apply and synthesise key analytics models and techniques to resolve business problems
- Integrate the knowledge and skills acquired to conduct research in an industry setting - Students will appropriately select one or more advanced analytical techniques to apply to a business setting with real data Application of Knowledge and Skills
- Deal with ambiguity and uncertainty - Students will make appropriate judgements about how to proceed in an environment with incomplete information - Students will identify and be able to deal with ambiguities and bias in data
- Communicate the results of technical analysis - Students will display effective verbal communication skills when making a presentation - Students will write reports on data analysis projects which can be understood by non-technical audiences - Students will develop graphs and data visualisations to effectively convey information
- Apply Professional Standards - Students will critically evaluate and apply professional and ethical standards in the analysis of data - Students will reflect on their behaviour in teams and develop strategies to improve
Last updated: 30 January 2024