CQUniversity Unit Profile

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BUSN12003 Artificial Intelligence for Business

Artificial Intelligence for Business

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All details in this unit profile for BUSN12003 have been officially approved by CQUniversity and represent a learning partnership between the University and you (our student).
The information will not be changed unless absolutely necessary and any change will be clearly indicated by an approved correction included in the profile.

General Information

Overview

In this exciting journey, you'll dive into the captivating realm of Artificial Intelligence, gaining theoretical insights and applying practical knowledge with cutting-edge skills. Unleash your curiosity as you explore the dynamic interplay between Artificial Intelligence, Machine Learning, and Deep Learning, unravelling their unique applications in the business landscape. Brace yourself for a mind-bending exploration of Generative AI, coupled with the essential artistry of Prompt Engineering. This unit is your ticket to not just understanding but actively shaping the future of Artificial Intelligence and its tech companions to meet the ever-evolving demands of the business world. While studying the unit you will learn how Artificial Intelligence can help various industries such as healthcare, mining, agriculture, education, supply chain to solve their problems or take advantage of this emerging technology to transform their business. Furthermore, this unit will also introduce the social and ethical considerations of using AI for business.

Details

Career Level: Undergraduate

Unit Level: Level 2

Credit Points: 6

Student Contribution Band: 10

Fraction of Full-Time Student Load: 0.125

Pre-requisites or Co-requisites

There are no requisites for this unit.

Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).

Offerings For Term 1 - 2025

Online

Attendance Requirements

All on-campus students are expected to attend scheduled classes - in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).