MIS770 - Analytical Skills for Managers
|Enrolment modes:||Trimester 1: Burwood (Melbourne), Cloud (online)|
Trimester 2: Burwood (Melbourne), Cloud (online)
Trimester 3: Burwood (Melbourne), Cloud (online)
|Previously coded as:||Nil|
2 hour seminar per week
Note: You will need to access substantial learning resources and experiences in CloudDeakin (Deakin’s online learning environment). Compliance with the Standards in computing, connectivity and student capability are a condition on your enrolment.
This unit aims to develop foundation skills and knowledge required for data driven, evidence based approaches to business decision making and business performance analysis. To this end, the unit first introduces the skills necessary to enable an understanding of business metrics. This is followed by descriptive analytical techniques that transform both structured and unstructured data into meaningful information for the purpose of decision making and understanding and reviewing business performance. Techniques and principles of data visualisation are introduced that enable graphical depictions of data that can improve comprehension, communication and decision-making. Then, the unit introduces quantitative reasoning skills so students are able to review business performance to find problems or areas of opportunities, and identify patterns and trends in data using descriptive analytics.
Assessment 1 (Individual) - Case study (equivalent to 2000 words) - 20%
Assessment 2 (Group - up to 3 students) - Data Set investigation (equivalent to 2000 words) - 20% Examination (2 hours) - 60%
Hurdle requirement: achieve at least 50% of the marks available on the examination
Unit Fee Information
|Student Contribution Rate*||Student Contribution Rate**||Fee rate - Domestic Students||Fee rate - International students|
* Rate for all CSP students, except for those who commenced Education and Nursing units pre 2010
** Rate for CSP students who commenced Education and Nursing units pre 2010
Please note: Unit fees listed do not apply to Deakin Prime students.