Data Analysis

Subject BUSA90060 (2016)

Note: This is an archived Handbook entry from 2016.

Credit Points: 12.5
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2016:

January, Parkville - Taught on campus.
Pre-teaching Period Start 08-Jan-2016
Teaching Period 11-Jan-2016 to 18-Mar-2016
Assessment Period End 22-Mar-2016
Last date to Self-Enrol 29-Nov-2015
Census Date 29-Jan-2016
Last date to Withdraw without fail 26-Feb-2016

April, Parkville - Taught on campus.
Pre-teaching Period Start 04-Apr-2016
Teaching Period 11-Apr-2016 to 16-Jun-2016
Assessment Period End 24-Jun-2016
Last date to Self-Enrol 07-Feb-2016
Census Date 22-Apr-2016
Last date to Withdraw without fail 27-May-2016

June, Parkville - Taught on campus.
Pre-teaching Period Start 24-Jun-2016
Teaching Period 29-Jun-2016 to 04-Sep-2016
Assessment Period End 06-Sep-2016
Last date to Self-Enrol 19-Jun-2016
Census Date 15-Jul-2016
Last date to Withdraw without fail 12-Aug-2016

July, Parkville - Taught on campus.
Pre-teaching Period Start 27-Jun-2016
Teaching Period 04-Jul-2016 to 08-Sep-2016
Assessment Period End 16-Sep-2016
Last date to Self-Enrol 01-May-2016
Census Date 15-Jul-2016
Last date to Withdraw without fail 19-Aug-2016

October, Parkville - Taught on campus.
Pre-teaching Period Start 26-Sep-2016
Teaching Period 03-Oct-2016 to 08-Dec-2016
Assessment Period End 16-Dec-2016
Last date to Self-Enrol 18-Sep-2016
Census Date 14-Oct-2016
Last date to Withdraw without fail 18-Nov-2016

This subject is only available to students admitted to GD-BA, MC-BAPT, MC-BAPTME, 294PN, or permission of the MBA course coordinator

This subject has a quota of 80 students. Students will be selected on a first come, first serve basis. However if any student is approaching their completion date, they will get priority in enrolment.



Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: 30 hours
Total Time Commitment: Not available
Prerequisites: None
Corequisites: None
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

Contact

Melbourne Business School

Degree Program Services

Email: programservices@mbs.edu

Subject Overview:

Contemporary business is awash in data. Modern 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. This subject provides the fundamental quantitative skills necessary for an MBA student to extract information from data, through quantitative analysis, to make better managerial decisions. Students will be familiarized with the tools of quantitative analysis, develop the necessary skills for analytical thinking and a quantitative mind set in measuring performance. The fundamental quantitative skills from this subject provide a foundation to the advanced subjects within the MBA and provide students an analytical framework towards solving managerial problems later in their career.

Learning Outcomes:

On completion of this subject, students should be able to:

  • Apply quantitative methods in management decision making processes
  • Apply the principles of statistical variation when considering statistics from data
  • Apply regression modeling techniques to gain a better understanding of the complex relationships between business variables
  • Possess an analytical mindset in solving business problems
  • Possess solid computational skills in Excel
Assessment:

Ole Maneesoonthorn:

  • 8 x Class preparation exercises (15%)
    • Equivalent of individual 300 word assessment in total
    • Throughout subject
  • Mid-term test (20%)
    • 90 minutes
    • Week 5
  • Syndicate assignment(25%)
    • Equivalent of individual 500 word assessment
    • Week 10
  • Final Examination (40%)
    • Hurdle requirement
    • 3 hours
    • End of subject

Chris Lloyd:

  • 15 x Class preparation exercises (15%)
    • Throughout subject
  • Mid-term test (20%)
    • 90 minutes
    • Week 5
  • Syndicate assignment(25%)
    • Week 10
  • Final Examination (40%)
    • Hurdle requirement
    • 2 hours
    • End of subject

Danny Oron:

  • 8 x Class preparation exercises (10%)
    • Equivalent of individual 300 word assessment in total
    • Throughout subject
  • Mid-term test (20%)
    • 90 minutes
    • Week 5
  • Syndicate assignment(25%)
    • Equivalent of individual 500 word assessment
    • Week 10
  • Final Examination (45%)
    • Hurdle requirement
    • 3 hours
    • End of subject

Prescribed Texts: None
Breadth Options:

This subject is not available as a breadth subject.

Fees Information: Subject EFTSL, Level, Discipline & Census Date
Notes:

This subject is only available to students admitted to GD-BA, MC-BAPT, MC-BAPTME, 294PN, or permission of the MBA course coordinator

Related Course(s): Graduate Diploma in Business Administration
Master of Business Administration
Master of Business Administration
Master of Business Administration (Professional)
Master of Business Administration/Master of Information Systems
Master of Engineering Management
Master of Information Systems/Graduate Diploma in Business Admin
Master of Marketing
Master of Marketing
Master of Marketing
Postgraduate Diploma in Management

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