Business Analytics

Subject ISYS30008 (2013)

Note: This is an archived Handbook entry from 2013.

Credit Points: 12.50
Level: 3 (Undergraduate)
Dates & Locations:

This subject is not offered in 2013.
Time Commitment: Contact Hours: 36 hours, comprising of one 2-hour lecture and one 1-hour tutorial/practical per week
Total Time Commitment:

120 hours
Prerequisites:

One of the following:

Subject
Study Period Commencement:
Credit Points:
Not offered in 2013
12.50
Not offered in 2013
12.50
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

Dr Sean Maynard

email: sean.maynard@unimelb.edu.au

Subject Overview:

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. This subject is a 3rd year breadth subject in information systems, and forms one of the elective subjects for the Diploma of Informatics.
Objectives:

On completion of this subject students should:

  • Be familiar with business analytics and its relationship to decision-making
  • Understand the main concepts underlying data warehouse design and implementation, data quality and retrieval and analysis of data
  • Be familiar with the use of business analytics in practice
Assessment:
  • A case study in data warehouse design, completed in teams of two students (25%). This project is due mid-semester and is of approximately 2000 words (addressing ILO 2).
  • An analytical report, based on a case study, completed in teams of 2 students (25%). This project is due end-semester and is of approximately 2000 words (addressing ILOs 1 and 3)
  • 2-hour examination held in the examination period (50%) (addressing ILOs 1-3)


To pass the subject students must obtain at least: 50% of the marks available for the non-examination based assessment; 50% of the marks available for the examination
Prescribed Texts:

None
Breadth Options:

This subject potentially can be taken as a breadth subject component for the following courses:

You should visit learn more about breadth subjects and read the breadth requirements for your degree, and should discuss your choice with your student adviser, before deciding on your subjects.

Fees Information: Subject EFTSL, Level, Discipline & Census Date
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
Related Breadth Track(s): Information Technology in Organisations

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