Course level

Undergraduate

Faculty

Business, Economics & Law

School

Business School

Units

2

Duration

One Semester

Delivery mode

Internal

Class hours

2 Lecture hours
1 Tutorial hour

Incompatible

MGTS7217

Prerequisite

MGTS2202 and (8 units of BBusMan or 8 units of BCom courses)

Restricted

Quota: Minimum of 35 enrolments

Course enquiries

Course description

Modern business collects large volumes of raw data through its daily operations. This data can come from business transactions, sensors, or external sources, for example, social media feeds. Competitive advantage can be obtained through unlocking insights from such data to develop information that can be used to support decision-making. This course builds on the data mining and decision support system knowledge and skills developed in MGTS2202, and introduces students to advanced predictive analytics techniques and their application in multiple settings (eg social media analysis). The course also develops evidence-based problem solving skills.

Archived offerings

Course offerings Location Mode Course Profile
Semester 1, 2016 (29/02/2016 - 25/06/2016) St Lucia Internal Course Profile