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Data Analysis and Statistical Modelling - MNGT6232
Data Analysis and Statistical Modelling

 
Faculty: Australian School of Business
 
 
School:  AGSM MBA Programs
 
 
Course Outline: http://www.asb.unsw.edu.au/currentstudents/agsmmba/academicinformation/courseinformation/Pages/mbaexecutive.aspx?Course=MNGT6232%20Data%20Analysis%20and%20Statistical%20Modelling%20for%20Business
 
 
Campus: Kensington Campus
 
 
Career: Postgraduate
 
 
Units of Credit: 6
 
 
EFTSL: 0.12500 (more info)
 
 
Indicative Contact Hours per Week: 0
 
 
Enrolment Requirements:
 
 
Prerequisite: Enrolment in Graduate Diploma in Management or Master of Law and Management
 
 
CSS Contribution Charge:Band 5 (more info)
 
 
Tuition Fee:See Tuition Fee Schedule
 
 
Further Information: See Class Timetable
 
 

Description

There is an explosion of data in the business workplace, but very few managers are equipped with the quantitative skills to make effective use of this data.
This course develops expertise in a standard set of statistical and graphical techniques, which will be useful in analysing data.
These techniques are widely applied in a number of areas of management, including marketing, finance and economics.
The course provides a change in mindset from "statistics can be used to show anything" to "statistics provide a methodology to cope with uncertainty" via the art of statistical thinking, that is, the ability to collect, understand and use data. A work-based project is a key part of the course.

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© The University of New South Wales (CRICOS Provider No.: 00098G), 2004-2011. The information contained in this Handbook is indicative only. While every effort is made to keep this information up-to-date, the University reserves the right to discontinue or vary arrangements, programs and courses at any time without notice and at its discretion. While the University will try to avoid or minimise any inconvenience, changes may also be made to programs, courses and staff after enrolment. The University may also set limits on the number of students in a course.