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Unit Synopsis
This unified capstone unit for the Master of Information Technology and Master of Data Analytics courses is designed to enable you to consolidate and demonstrate the knowledge, technical capabilities, and professional skills developed throughout your studies before transitioning into professional practice. You will undertake an authentic industry, research, or community-based group project that reflects real-world challenges across the Software Development, Artificial Intelligence, Business Data Analytics, and Cyber Security domains, demonstrating your ability to apply disciplinary knowledge in complex, multidisciplinary professional environments. Through critical thinking, innovative analysis, and collaborative problem-solving, you will investigate stakeholder requirements, design and implement appropriate ICT and data-driven solutions, and apply project management principles throughout the project lifecycle. Depending on the project context, you may develop AI-enabled applications, business intelligence and analytics solutions, cyber security risk mitigation strategies, secure enhancements, network administration policies, software applications, or integrated digital platforms. You will produce a range of professional artefacts and technical documentation, including project plans, requirements specifications, analysis and modelling artefacts, software and system designs, implementation outputs, testing and evaluation results, cyber security assessments, and a comprehensive project report that contributes to your professional portfolio and graduate employability. Working collaboratively within multidisciplinary teams, you will engage with diverse stakeholders, participate in technical progress meetings, manage project risks and change processes, evaluate cyber security, ethical, and professional considerations, and communicate project outcomes through written reports, presentations, demonstrations, and reflective activities. The unit emphasises professional practice, teamwork, leadership, self-directed learning, innovation, and industry engagement while preparing you for the collaborative, rapidly evolving nature of contemporary careers in ICT, Artificial Intelligence, Data Analytics, Cyber Security, and Software Development.
Details
| Level | Postgraduate |
|---|---|
| Unit Level | 9 |
| Credit Points | 12 |
| Student Contribution Band | SCA Band 2 |
| Fraction of Full-Time Student Load | 0.25 |
| Pre-requisites or Co-requisites |
Prerequisites: COIT29227 ICT Project Preparation and Industry Engagement. 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 1 - 2027
Term 1 - 2027 Profile
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).
Recommended Student Time Commitment
Each 12-credit Postgraduate unit at CQUniversity requires an overall time commitment of an average of 25 hours of study per week, making a total of 300 hours for the unit.
Assessment Tasks
To see assessment details from an earlier availability, please search via a previous term.
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%).
Past Exams
All University policies are available on the Policy web site, however you may wish to directly view the following policies below.
This list is not an exhaustive list of all University policies. The full list of policies are available on the Policy web site.
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.
To see Learning Outcomes from an earlier availability, please search via a previous term.