BUS5AP
ANALYTICS IN PRACTICE
BUS5AP
2016
Credit points: 15
Subject outline
This unit will bridge the business process with the mechanics and technical processes of analytics to enable actionable, meaningful and relevant solutions to be delivered in the appropriate business context. The focus will be on the various business processes, methodologies and techniques that you can apply to achieve an analytical outcome that meets the end-users' intentions and needs, as any analytics performed is only meaningful if the results addresses the business problem. It is also the capstone unit where you will undertake a project that allows all the various skills acquired in the course to be put to use in a real-world industry project. You will learn and experience first hand the end to end process of carrying out analytics to satisfy the three constraints: customer needs, business problem and technology thus, delivering relevant and actionable outcomes.
SchoolLa Trobe Business School
Credit points15
Subject Co-ordinatorKok-Leong Ong
Available to Study Abroad StudentsYes
Subject year levelYear Level 5 - Masters
Exchange StudentsYes
Subject particulars
Subject rules
Prerequisites N/A
Co-requisites BUS5PA, BUS5VA
Incompatible subjects N/A
Equivalent subjects N/A
Special conditions N/A
Learning resources
Readings
Resource Type | Title | Resource Requirement | Author and Year | Publisher |
---|---|---|---|---|
Readings | Analytics in Practice | Recommended | Mohanty, 2011 | Tata McGraw-Hill Education Private Limited |
Readings | A Practitioner's Guide to Business Analytics: Using Data Analysis Tools to Improve Your Organisation's Decision Making and Strategy | Recommended | Bartlett, 2013 | McGraw-Hill |
Readings | Designing for Growth: A Design Thinking Toolkit for Managers | Recommended | Liedtka and Ogilvie, 2011 | Columbia University Press |
Graduate capabilities & intended learning outcomes
01. Understanding and appreciation of the various business processes, methodologies and techniques available for applying analytics in a business context
- Activities:
- Lectures and workshops
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
02. Demonstrate advanced problem and data analysis capability
- Activities:
- Lecture, workshops and assignments
- Related graduate capabilities and elements:
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
03. Demonstrate advanced capability with the application of analytics tools
- Activities:
- Lecture, workshops and assignments
- Related graduate capabilities and elements:
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
04. Dealt with data in an ethical manner
- Activities:
- Lecture, workshops and assignments
- Related graduate capabilities and elements:
- Personal and Professional Skills(Teamwork including leadership and working in groups,Ethical behaviour)
05. Clearly articulate the results to clients, and engage clients in a professional and productive manner
- Activities:
- Lecture, workshops and assignments
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Speaking)
- Literacies and Communication Skills(Writing,Speaking)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Personal and Professional Skills(Teamwork including leadership and working in groups,Ethical behaviour)
- Personal and Professional Skills(Teamwork including leadership and working in groups,Ethical behaviour)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
Subject options
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City Campus, 2016, Semester 2, Night
Overview
Online enrolmentYes
Maximum enrolment size70
Enrolment information Limits of learning space Order of application
Subject Instance Co-ordinatorKok-Leong Ong
Class requirements
Lecture/WorkshopWeek: 31 - 43
One 3.0 hours lecture/workshop per week on weekdays at night from week 31 to week 43 and delivered via face-to-face.
Assessments
Assessment element | Comments | % | ILO* |
---|---|---|---|
Assignment, problem identification and formulation of analytical tasks | 1250 equivalency task | 30 | 01, 02 |
Assignment, data analysis and analytics | 2500 words equivalency task | 50 | 02, 03, 04 |
Report and presentation, details of the analytics tasks for stakeholders | 1000 words equivalency task | 20 | 01, 05 |