COIT20250 - Technologies in Information Systems Practice

General Information

Unit Synopsis

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.


Level Postgraduate
Unit Level 9
Credit Points 6
Student Contribution Band SCA Band 2
Fraction of Full-Time Student Load 0.125
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).

Class Timetable View Unit Timetable
Residential School No Residential School

Unit Availabilities from Term 1 - 2024

Term 1 - 2024 Profile
Term 2 - 2024 Profile
Term 3 - 2024 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).

Assessment Overview

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.

Assessment Tasks

Assessment Task Weighting
1. Report 30%
2. Report 50%
3. Report 20%

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

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Previous Feedback

Term 1 - 2023 : The overall satisfaction for students in the last offering of this course was 90.32% (`Agree` and `Strongly Agree` responses), based on a 46.27% response rate.

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: In class
Students showed interest in discussing the real world examples of emerging technologies.
Continue discussing different real-world examples related to each week's topic.
Action Taken
Students were required to choose a unique topic from a list of eight emerging technology issues for each Group Assessment task. This ensured that a broad range of contemporary emerging technology issues were covered in the unit.
Source: Student
Group assessments require individual accountability.
Student teams should be required to complete a “Team Charter” before commencing group assessment activities.
Action Taken
Unit learning Outcomes

On successful completion of this unit, you will be able to:

  1. Apply data analysis tools to identify and explore insights into business problems
  2. Use business and system analysis tools to model and prototype requirements, processes and designs
  3. Justify the selection of current and emerging technologies to solve business problems
  4. 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
2 - Report
3 - Report
Alignment of Graduate Attributes to Learning Outcomes
Advanced Level
Professional Level
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
Alignment of Assessment Tasks to Graduate Attributes
Advanced Level
Professional Level
Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8