Eligibility and requirements
|Code||Name||Teaching period||Credit Points|
|MGMT90203||Foundations in Quantitative Methods||
Semester 2 (On Campus - Parkville)
Recommended background knowledge
A basic understanding of multivariate statistics as included in for example:
Sarstedt, M., & Mooi, E. (2014). A Concise Guide to Market Research (2nd ed.): Springer, Cohen, J., Cohen, P., West, S.G., & Aitken, LS (2003), Applied multiple regression/correlation analysis in the behavioural sciences (Third Edition). Mahwah, N.J. Routledge; Hair, J. F., Jr., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis. Upper Saddle River, NJ: Pearson.
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: 30 November 2023