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The current and official versions of the course specifications are available on the web at https://www.usq.edu.au/course/specification/current.
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MBA8003 Analysing Business Data

8W Teaching Period 5, 2022 Online
Units : 1
Faculty or Section : Faculty of Business, Education, Law and Arts
School or Department : School of Business
Student contribution band : Band 4
Grading basis : Graded
Version produced : 30 June 2022

Staffing

Examiner: Jane Summers

Requisites

Pre-requisite: MBA8001 and MBA8002 and Students must be enrolled in one of the following Programs: MBAL or GDBA or GCBA

Overview

The capability to confidently diagnose and discern patterns and relationships in business data is essential for senior leaders to identify areas that can increase business value. Senior leaders need to be able to apply a critical mindset to the interrogation of financial and performance data and to their interactions with data providers and users. The ability to confidently know the strengths and weaknesses of performance metrics and how to apply these tools to achieve the organisation’s purpose requires agile and strategic leadership.

This course will provide you with the opportunity to build capacity to fluently and confidently interact with and direct the financial and business analysis sections of the organisation. This course prepares you to be able to interrogate data and information to diagnose organisational performance and identify opportunities. Knowing your data and their relationship to organisational performance is a skill that strategic leaders need to be comfortable with. This course will help you move from operational thinking to strategic thinking through developing a sophisticated approach to issues of financial and performance analysis.

Course learning outcomes

On successful completion of this course students should be able to:

  1. Critically apply financial and performance management theories, models and frameworks that inform the use of data to determine business performance
  2. Interrogate, interpret and synthesise complex data to diagnose organisational performance
  3. Formulate and present information about the current position and performance of the business
  4. Collaborate effectively to achieve required organisational outcomes.

Topics

Description Weighting(%)
1. Working collaboratively 10.00
2. Analysing business performance 20.00
3. Using data to analyse business performance 15.00
4. Financial analysis to determine business performance 20.00
5. Non-financial data to determine business performance 20.00
6. Reporting and communication of business performance 15.00

Text and materials required to be purchased or accessed

There are no texts or materials required for this course.

Student workload expectations

To do well in this subject, students are expected to commit approximately 10 hours per week including class contact hours, independent study, and all assessment tasks. If you are undertaking additional activities, which may include placements and residential schools, the weekly workload hours may vary.

Assessment details

Approach Type Description Group
Assessment
Weighting (%) Course learning outcomes
Assignments Written Workbook 1 No 30 1,2,3,4
Assignments Written Workbook 2 No 30 1,2,3,4
Assignments Written Report No 40 1,2,3,4
Date printed 30 June 2022