Business Analytics

Subject ISYS30008 (2010)

Note: This is an archived Handbook entry from 2010.

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

This subject has the following teaching availabilities in 2010:

Semester 2, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period not applicable
Assessment Period End not applicable
Last date to Self-Enrol not applicable
Census Date not applicable
Last date to Withdraw without fail not applicable


Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: 36 contact hours
Total Time Commitment: Estimated total time commitment of 120 hours
Prerequisites: .
Subject
Study Period Commencement:
Credit Points:
Corequisites: None
Recommended Background Knowledge: None
Non Allowed Subjects: None
Core Participation Requirements: It is University policy to take all reasonable steps to minimise the impact of disability upon academic study and reasonable steps will be made to enhance a student’s participation in the University’s programs.
This subject requires all students to actively and safely participate in laboratory activities. Students who feel their disability may impact upon their participation are encouraged to discuss this with the subject coordinator and the Disability Liaison Unit.

Coordinator

Dr Rajeev Sharma

Contact

Rajeev Sharma
rajeevs@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.
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 2-hour formal examination (50%) in the examination period; a written assignment about data warehouse design, based on a case study, of approximately 2000 words (25%) – due mid-semester; a written assignment about creation of an analytical report, based on a case study, of approximately 2000 words (25%) – due end-semester.
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 Course(s): Bachelor of Information Systems
Bachelor of Science and Bachelor of Information Systems

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