Note: This is an archived Handbook entry from 2014.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2014:July, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 30 hours |
Total Time Commitment: Not available
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||None|
|Core Participation Requirements:||
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.
It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability
Contemporary business is awash in data. Modern businesses’ business processes and activities usually involve multiple streams of data from areas as diverse as marketing activities, operational processes and financial activities. Therefore, managers are frequently confronted with how to harness these to understand their business better, so that they can make more informed decisions. Data analysis is the process of converting such raw data into meaningful information to inform business decision-making.
This subject provides an introduction to the fundamental data analysis skills and techniques that are used in contemporary business and management. These skills are essential both for later MBA subjects, and also for solving managerial problems in your later career. The course is computer based and students are required to perform all manipulations and computations themselves.
On completion of this subject, students should be able to apply quantitative methods in management decision making processes. Specifically they should be able to:
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
Master of Business Administration |
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