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Business Analytics and Decision Making (ISYS90094)
Graduate courseworkPoints: 12.5Not available in 2017
Overview
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AIMS
Business analytics involves the use of data to support business decision-making. Topics covered include business decision-making, evidence-based management, data warehouse design and implementation, data sourcing and quality, on-line analytical processing (OLAP), dashboards and data mining, case studies of business analytics practice.
INDICATIVE CONTENT
This subject introduces the concepts of business analytics, decision making, data warehouse design, data warehouse modelling, data quality, data warehouse implementation - including the extract-transform-load (ETL) process, and data warehouse use in supporting business analytics – including decision making tools and OLAP. Readings are provided for all topics that introduce real world cases on business analytics and related areas and include the use of business analytics in organisations.
The subject also explores how organisations gather and generate multiple forms of information, and how this information is analysed and converted into useful knowledge via individual judgement and organisational learning processes. In applying empirical and analytical approaches to practical situations, students will develop insights into both the nature of the business problems as well as methods that are used for identifying and evaluating alternative solutions. The subject content will include conceptual foundations, practical tools, and case studies to discuss the costs, benefits and risks of the various analytical methods that will be introduced.
Intended learning outcomes
INTENDED LEARNING OUTCOMES (ILOs)
On completion of this subject the student is expected to:
- Have developed a sound knowledge and understanding of Business Analytics and Decision Making in the context of management practice of Information Systems in Organisations
- Have developed and applied skills in critical thinking and systems analysis to identify, evaluate and/or communicate strategic and operational issues suited to the application of Business Analytics and Decision Making in the real-world practice of Information Systems
- Have developed and applied skills related to business communication, interpersonal, and team skills suited to the application of Business Analytics and Decision Making in the real-world practice of Information Systems
- Can demonstrate an understanding of professional codes of conduct and ethical standards as they apply to Business Analytics and Decision Making in business practice
- Research and argue disparate beliefs/theories of Business Analytics and Decision Making.
Generic skills
On completion of this subject, students should have developed the following generic skills:
- High level of development: collaborative learning; problem solving; team work; interpretation and analysis; critical thinking
- Moderate level of development: oral communication; written communication
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
This subject is only available to students admitted to the Master of Information Systems (Executive), or students with permission of the Master of Information Systems (Executive) Course coordinator
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Additional details
- A case study in data warehouse design, completed in teams of two students (25%) requiring approximately 30-35 hours of work per student. This project is due mid-term (week 5) and is of approximately 2000 words. Addresses Intended Learning Outcome (ILO) 1
- An analytical report, based on a case study, completed in teams of 2 students (25%) requiring approximately 30-35 hours of work per student. This project is due end-term (week 9) and is of approximately 2000 words (addressing ILOs 1,2 and 3)
- Individual writing assignment (50%) of 2,500 words (addressing ILOs 1-5) requiring approximately 70-75 hours of work, due in week 9.
Last updated: 3 November 2022
Dates & times
Not available in 2017
Time commitment details
200 hours
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Information Systems (Executive) - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Last updated: 3 November 2022