Overview
ICT business and system analysts use many techniques to model and analyse business problems, such as data analytics, workflow modelling, dashboards and low code prototyping. In this unit, you will learn a selection of tools, as well as new and disruptive technologies, such as artificial intelligence, blockchain, Internet of Things and cloud services. You will gain practical, hands-on experience with data analysis and visualisation tools, such as the Microsoft Power platform, and cloud services for analysts, such as Azure or AWS. While evaluating the technical tradeoffs of technologies to deliver business value, you will also consider the ethical, legal and cyber security issues that arise when enterprises use those technologies.
Details
Pre-requisites or Co-requisites
Prerequisite: COIT20248 Information Systems Analysis and Design
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 - 2026
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 6-credit Postgraduate 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.
Class Timetable
Assessment Overview
Assessment Grading
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.
All University policies are available on the CQUniversity Policy site.
You may wish to view these policies:
- Grades and Results Policy
- Assessment Policy and Procedure (Higher Education Coursework)
- Review of Grade Procedure
- Student Academic Integrity Policy and Procedure
- Monitoring Academic Progress (MAP) Policy and Procedure - Domestic Students
- Monitoring Academic Progress (MAP) Policy and Procedure - International Students
- Student Refund and Credit Balance Policy and Procedure
- Student Feedback - Compliments and Complaints Policy and Procedure
- Information and Communications Technology Acceptable Use Policy and Procedure
This list is not an exhaustive list of all University policies. The full list of University policies are available on the CQUniversity Policy 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.
Feedback from Teaching team feedback
Tutorials require additional refinement to expose students to further practical Power BI applied learning.
Update tutorials with additional Power BI real-world business use cases and resources.
- Apply data analysis tools to identify and explore insights into business problems
- Use business and system analysis tools to model and prototype requirements, processes and designs
- Justify the selection of current and emerging technologies to solve business problems
- Critically analyse the ethical and professional issues that analysts encounter, especially regarding data privacy, cyber security and artificial intelligence.
The Australian Computer Society (ACS), the professional association for Australia's ICT sector, recognises the Skills Framework for the Information Age (SFIA). SFIA is adopted by organisations, governments, and individuals in many countries and provides a widely used and consistent definition of ICT skills. SFIA is increasingly being used when developing job descriptions and role profiles. ACS members can use the tool MySFIA to build a skills profile.
This unit contributes to the following workplace skills as defined by SFIA 8 (the SFIA code is included):
- Business Modelling (BSMO)
- Business Intelligence (BINT)
- Data Modelling and Design (DTAN)
- Data Visualisation (VISL)
- Emerging Technology Monitoring (EMRG)
- Requirements Definition and Management (REQM)
Alignment of Assessment Tasks to Learning Outcomes
| Assessment Tasks | Learning Outcomes | |||
|---|---|---|---|---|
| 1 | 2 | 3 | 4 | |
| 1 - Report - 30% | ||||
| 2 - Report - 50% | ||||
| 3 - Report - 20% | ||||
Alignment of Graduate Attributes to Learning Outcomes
| Graduate Attributes | Learning Outcomes | |||
|---|---|---|---|---|
| 1 | 2 | 3 | 4 | |
| 1 - Knowledge | ||||
| 2 - Communication | ||||
| 3 - Cognitive, technical and creative skills | ||||
| 4 - Research | ||||
| 5 - Self-management | ||||
| 6 - Ethical and Professional Responsibility | ||||
| 7 - Leadership | ||||
| 8 - First Nations Knowledges | ||||
| 9 - Aboriginal and Torres Strait Islander Cultures | ||||
Textbooks
There are no required textbooks.
IT Resources
- CQUniversity Student Email
- Internet
- Unit Website (Moodle)
- Zoom
- Microsoft Power BI
- Knime
All submissions for this unit must use the referencing style: Harvard (author-date)
For further information, see the Assessment Tasks.
m.saiedurrahaman@cqu.edu.au
Week 1
Begin Date: 09 Mar 2026Module/Topic
Introduction to Technologies in Information Systems Practice
Chapter
Supplementary materials
Events and Submissions/Topic
Week 2
Begin Date: 16 Mar 2026Module/Topic
Data to Informed Decision
Chapter
Supplementary materials
Events and Submissions/Topic
Week 3
Begin Date: 23 Mar 2026Module/Topic
The role of Industry 4.0
Chapter
Supplementary materials
Events and Submissions/Topic
Week 4
Begin Date: 30 Mar 2026Module/Topic
Designing solutions for end-users
Chapter
Supplementary materials
Events and Submissions/Topic
Week 5
Begin Date: 06 Apr 2026Module/Topic
Introduction to AI for Information Systems
Chapter
Supplementary materials
Events and Submissions/Topic
Week 6
Begin Date: 13 Apr 2026Module/Topic
Introduction to prototyping and application development for business
Chapter
Supplementary materials
Events and Submissions/Topic
Vacation Week
Begin Date: 20 Apr 2026Module/Topic
Review previous lectures
Chapter
Events and Submissions/Topic
Week 7
Begin Date: 27 Apr 2026Module/Topic
Cloud Computing: Concepts, Models, and Real-World Applications
Chapter
Supplementary materials
Events and Submissions/Topic
Week 8
Begin Date: 04 May 2026Module/Topic
Natural Language Processing and Conversational Information Systems
Chapter
Supplementary materials
Events and Submissions/Topic
Week 9
Begin Date: 11 May 2026Module/Topic
Human factors in Information Systems
Chapter
Supplementary materials
Events and Submissions/Topic
Week 10
Begin Date: 18 May 2026Module/Topic
Ethical Information systems practices
Chapter
Supplementary materials
Events and Submissions/Topic
Note: Students are required to submit the report, slides, recorded presentation and statement of contributions by this due date.
Assignment 2 Due: Week 10 Friday (22 May 2026) 11:59 pm AEST
Week 11
Begin Date: 25 May 2026Module/Topic
Overview of Security and privacy
Chapter
Supplementary materials
Events and Submissions/Topic
Note: Playback of Assignment-2 recorded presentation and face-to-face Q&A will be scheduled during week 11 tutorial sessions. Attendance at the Q&A session is mandatory; absence will result in zero marks (out of 20) for the presentation component.
Week 12
Begin Date: 01 Jun 2026Module/Topic
Technologies in Information Systems practice – Reviews and Reflections
Chapter
Supplementary materials
Events and Submissions/Topic
Exam Week
Begin Date: 08 Jun 2026Module/Topic
Chapter
Events and Submissions/Topic
Vacation/Exam Week
Begin Date: 15 Jun 2026Module/Topic
Chapter
Events and Submissions/Topic
Mohammad Saiedur Rahaman
Unit Coordinator Melbourne - 6.13
Email: m.saiedurrahaman@cqu.edu.au
You are encouraged to use Moodle Q&A for any questions to benefit everyone. However, for specific inquiries requiring private discussion, please email me. I typically respond within 48 hours, excluding weekends and public holidays.
1 Report
This assessment relates to Learning Outcomes 1, 2 and 3. This is an individual assessment. You will identify the necessary tools and technology skills required for information systems practice. Furthermore, you will provide reasoning for their significance and relevance in executing tasks proficiently. You'll elaborate on strategies for managing data, perform thorough data analysis, articulate findings through visual representations, and develop and validate hypotheses. This assessment contributes to 30% of the total marks.
AI Assessment Scale - AI Planning: You may use Al for planning, idea development, and research. Your final submission should show how you have developed and refined these ideas.
Week 5 Friday (10 Apr 2026) 11:59 pm AEST
Online via Moodle
Vacation Week Friday (24 Apr 2026)
Within two weeks of submission.
The assessment criteria are based on:
- Identification of tools and technology skills, and relevant data source.
- Analysis skills and technical literacy as demonstrated by the appropriate analysis techniques.
- Justify the selection of processes.
- Reporting including self-explanatory illustrations, references/citations and declarations.
See Moodle for detailed description of the assignment and marking rubric.
- Apply data analysis tools to identify and explore insights into business problems
- Use business and system analysis tools to model and prototype requirements, processes and designs
- Justify the selection of current and emerging technologies to solve business problems
2 Report
This assessment relates to Learning Outcomes 1, 2 and 3. This group assessment task has two parts: a report and a presentation. To accomplish the report, you are required to select one dataset from a given list. Then define a problem statement and demonstrate how did you solve this problem by leveraging data analytics and machine learning algorithms. Additionally, you are required to submit a short recorded presentation along with the slide deck to communicate the solution of the addressed problem. Ensure that the presentation is easily comprehensible for a general audience. The recorded presentation will be played back during the week 11 tutorial, followed by a face-to-face Q&A session. This assessment contributes to 50% of the total marks.
AI Assessment Scale - AI Planning: You may use Al for planning, idea development, and research. Your final submission should show how you have developed and refined these ideas.
IMPORTANT NOTE: This assessment is exempted from the 72-hour submission grace period and must be completed by the stated submission date/time.
Week 10 Friday (22 May 2026) 11:59 pm AEST
The report, recorded video presentation, slides and statement of contributions must be submitted by the due date before the in-class presentation playback and Q&A to be held on Week 11 tutorial times.
Feedback and marks for this assessment will be released on the grade certification date
The assessment criteria are based on:
- Identification of problem and application of design thinking process.
- Analysis skills and technical literacy as demonstrated by the selection of analytics and machine learning techniques.
- Justify the selection of processes.
- Reporting including self-explanatory illustrations, references/citations and declarations.
- A well-structured presentation for a general audience and performance in the Q&A session.
The marking will be distributed as follows :
- Report - 30 marks
- Presentation - 20 marks
Total: 50 marks
IMPORTANT NOTE: The presentation component of this assignment accounts for 20% of the total marks. Please note that the recorded presentation you submit by the due date will be played back during the Week 11 tutorial, followed by a mandatory Q&A session. Attendance at the Q&A session is mandatory; absence will result in zero marks (out of 20) for the presentation component. Also note that this is a group assignment and grades will be assigned individually according to each student’s contribution to the work.
See Moodle for detailed description of the assignment and marking rubric.
- Apply data analysis tools to identify and explore insights into business problems
- Use business and system analysis tools to model and prototype requirements, processes and designs
- Justify the selection of current and emerging technologies to solve business problems
3 Report
This assessment relates to Learning Outcomes 3 and 4. This is an individual assessment. This assessment task requires you to prepare and submit a report. You will identify the human factors and ethical considerations linked to the solution your group proposed in Assessment 2. Additionally, you must suggest resolutions to these identified human factors and ethical issues, supported by appropriate justification. This assessment contributes to 20% of the total marks.
AI Assessment Scale - AI Planning: You may use Al for planning, idea development, and research. Your final submission should show how you have developed and refined these ideas.
Week 12 Friday (5 June 2026) 11:59 pm AEST
All files must be submitted via the Moodle unit website by the due date.
Feedback and marks for this assessment will be released on the grade certification date
The assessment criteria are based on:
- Identification of human and ethical factors of information systems.
- Justify the selection of processes.
- Reporting including references/citations and declarations.
See Moodle for detailed description of the assignment and marking rubric.
- Justify the selection of current and emerging technologies to solve business problems
- Critically analyse the ethical and professional issues that analysts encounter, especially regarding data privacy, cyber security and artificial intelligence.
As a CQUniversity student you are expected to act honestly in all aspects of your academic work.
Any assessable work undertaken or submitted for review or assessment must be your own work. Assessable work is any type of work you do to meet the assessment requirements in the unit, including draft work submitted for review and feedback and final work to be assessed.
When you use the ideas, words or data of others in your assessment, you must thoroughly and clearly acknowledge the source of this information by using the correct referencing style for your unit. Using others’ work without proper acknowledgement may be considered a form of intellectual dishonesty.
Participating honestly, respectfully, responsibly, and fairly in your university study ensures the CQUniversity qualification you earn will be valued as a true indication of your individual academic achievement and will continue to receive the respect and recognition it deserves.
As a student, you are responsible for reading and following CQUniversity’s policies, including the Student Academic Integrity Policy and Procedure. This policy sets out CQUniversity’s expectations of you to act with integrity, examples of academic integrity breaches to avoid, the processes used to address alleged breaches of academic integrity, and potential penalties.
What is a breach of academic integrity?
A breach of academic integrity includes but is not limited to plagiarism, self-plagiarism, collusion, cheating, contract cheating, and academic misconduct. The Student Academic Integrity Policy and Procedure defines what these terms mean and gives examples.
Why is academic integrity important?
A breach of academic integrity may result in one or more penalties, including suspension or even expulsion from the University. It can also have negative implications for student visas and future enrolment at CQUniversity or elsewhere. Students who engage in contract cheating also risk being blackmailed by contract cheating services.
Where can I get assistance?
For academic advice and guidance, the Academic Learning Centre (ALC) can support you in becoming confident in completing assessments with integrity and of high standard.
What can you do to act with integrity?
