Artificial Intelligence and Big Data Applications for Business unit (BEA319)

Hobart, Online

Introduction

AI and Big Data are popular buzzwords that are generating significant interest by businesses in today’s digital world. Business managers are increasingly investing in these technologies with the hope that automation and access to more data can lead to cost savings, create new business opportunities and sustain competitive advantages. This unit seeks to demystify AI and Big data for business managers and to engender critical reflection on the unintended consequences and ethical issues for businesses associated with the introduction of these emerging technologies.

Summary

Unit name	Artificial Intelligence and Big Data Applications for Business
Unit code	BEA319
Credit points	12.5
College/School	Tasmanian School of Business and Economics
Discipline	Finance
Coordinator	Doctor Glenn Finau
Available as an elective?	Yes
Delivered By	University of Tasmania and Third Party(ies): ECA
Level	Advanced

Availability

Specific information on 2027 unit availability will be available in August

Key Dates

Study Period	Start date	Census date	WW date	End date
Semester 1	21/2/2027	15/3/2027	18/4/2027	12/6/2027

* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).

Unit census dates currently displaying for 2027 are indicative and subject to change. Finalised census dates for 2027 will be available from the 1st October 2026. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

• Describe the local and global impact of AI and Big data on individuals, organisations, and society
• Appraise AI technologies and cloud computing services for businesses.
• Solve complex business problems using artificial intelligence and big data technologies.
• Critically evaluate the ethical issues and risks associated with AI and big data for businesses.
• Recommend appropriate approaches for the tactical implementation of AI and Big Data for businesses.

Fee Information

2027 fee information will be available in August.

Requisites

Prerequisites

BEA212 Fundamentals of Business Analytics

Teaching

Teaching Pattern	Pre-recorded Blended Lecture (online), Up to 1.5 hours (3-5 short lectures of maximum 20 minutes each), weekly. Blended Workshop (face to face and via zoom) for 180 minutes. 4 blocks of 3 hour workshops.
Assessment	Analytics Implementation Plan Project (30%)|AI Solution Evaluation Report and Presentation (35%)|Strategic AI and Big Data Evaluation Portfolio (35%)
Timetable	View the lecture timetable | View the full unit timetable

Textbooks

Required	Required readings will be listed in the unit outline prior to the start of classes.

The University reserves the right to amend or remove courses and unit availabilities, as appropriate.