COIT12203 - Business Process Analytics

Showing: 2026 HE Term 3
General Information

Unit Synopsis

Business processes enable organisations to deliver products or services effectively to their customers. In this unit, you will explore the core concepts of traditional, human-centric business process management (BPM) alongside contemporary, data-driven process analytics. You will gain hands-on experience in analysing, modelling, and evaluating business processes using industry-standard methods and analytical tools. This unit bridges the gap between how processes are designed and how work actually happens by teaching you to interpret digital event logs to identify operational bottlenecks and inefficiencies. You will apply these practical techniques to existing 'as-is' processes and model improved 'to-be' scenarios. Ultimately, this unit equips you with the skills to propose evidence-based process improvements and communicate recommendations effectively to professional audiences.

Details

Level Undergraduate
Unit Level 2
Credit Points 6
Student Contribution Band SCA Band 2
Fraction of Full-Time Student Load 0.125
Pre-requisites or Co-requisites

Prerequisite: (COIT11239 or COMM11003) and COIT11226.

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).

Class Timetable View Unit Timetable
Residential School No Residential School

Unit Availabilities from Term 2 - 2027

Term 2 - 2027 Profile
Brisbane Cairns Melbourne Online Rockhampton Sydney

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).

Assessment Overview

Recommended Student Time Commitment

Each 6-credit Undergraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.

Assessment Tasks

This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%).

Consult the University's Grades and Results Policy for more details of interim results and final grades

Past Exams

Previous Feedback

Feedback, Recommendations and Responses

Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.

Source: Unit Coordinator self-reflection / Student comments
Feedback:
The prescribed textbook is outdated; updating it and adding supplementary resources would improve the learning.

Recommendation:
The lecture content will be revised, and additional resources will be included in the next offering.

Action Taken:
Lecture content was revised, with an additional week introduced to address artificial intelligence considerations in workflows. A replacement textbook was not identified; however, the current text continues to provide coverage of foundational principles in discovering, scoping, assessing, modelling, and redesigning business processes, as outlined in the unit profile.
Source: Unit Coordinator self-reflection / student comments
Feedback:
The unit should be updated to include workflow process automation tools to give students hands-on experience with current industry tools.

Recommendation:
Future offerings will incorporate practical workflow process automation tools, such as Microsoft Power Automate, to align with current industry practices.

Action Taken:
Licensing and training in Microsoft Power Automate require additional resources. To provide students with practical exposure to current industry tools, Miro and Lucidchart were incorporated into tutorials and assessments.
Source: Unit Coordinator self- reflection
Feedback:
Difficult to maintain academic integrity with the advances in generative AI.

Recommendation:
Develop assessments that require students to analyse and critique generative AI and reflect on their use.

Action Taken:
In Progress
Source: Student feedback
Feedback:
Assessment 1 due dates continue after Assessment 2 is due

Recommendation:
Structure Assessment 1 as an independent practical task to ensure clear sequencing and avoid overlap with subsequent assessments.

Action Taken:
In Progress
Unit Learning Outcomes
This information will not be available until 8 weeks before term.
To see Learning Outcomes from an earlier availability, please search via a previous term.