Course

Business Analytics Methods - INFS3873

Faculty: UNSW Business School

School: School of Information Systems and Technology Management

Course Outline: INFS3873 Course Outline

Campus: Sydney

Career: Undergraduate

Units of Credit: 6

EFTSL: 0.12500 (more info)

Indicative Contact Hours per Week: 3

Enrolment Requirements:

Prerequisite: INFS3603 AND completion of 72 UOC within that program.

Excluded: INFS5720, INFS5873

CSS Contribution Charge: 3 (more info)

Tuition Fee: See Tuition Fee Schedule

Further Information: See Class Timetable

View course information for previous years.

Description

This is a Level 3 course in Business Analytics (BA) that builds on the fundamentals of business intelligence presented in INFS3603. This course exposes students to applications of descriptive, predictive, and prescriptive analytics in order to develop students’ ability to use analytics to drive business decisions. To develop these skills, students will learn methodological theory and use SAS Enterprise Miner and SAS Visual Analytics software tools to analyse a variety of case studies describing organisational problems with real-world relevance. Emphasis will be placed on using analytics to create value for organisations and being able to communicate analytic findings to a managerial audience.

The first major topic covered in INFS3873 is conducting segmentation to perform descriptive analytics for large datasets. Students will then use visual analytics for data exploration and data presentation. The course will then teach students various regression and data mining techniques to examine relationships between variables. In addition, students will learn how to build dashboards to visually communicate business insights.

SAS software tools will be used for the skills components of the course: "SAS Enterprise Miner" and "SAS Visual Analytics".


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