Students

BUSA3022 – Managing Analytics and Algorithmic Systems

2026 – Session 2, In person-scheduled-weekday, North Ryde

General Information

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Unit convenor and teaching staff Unit convenor and teaching staff
Adam Abedini
adam.abedini@mq.edu.au
Credit points Credit points
10
Prerequisites Prerequisites
130 credit points at 1000 level or above
Corequisites Corequisites
Co-badged status Co-badged status
Unit description Unit description

This unit focuses on the responsible strategic and operational management of analytics, algorithmic, and artificial intelligence systems within organizations and their broader impact on society. It aims to equip students with the skills to oversee analytics and AI projects, examine their productive and counterproductive effects, implement data-driven decision-making processes, and understand the ethical implications of data use. Students will explore the integration of analytics into business strategies, the responsible management of data projects, the assessment of organizational and societal tensions, and the societal impact of analytics and algorithmic systems. It helps students to examine and understand the role of these systems through case studies, practical projects, and discussions. Students will develop a holistic understanding of the role of analytics and algorithmic systems in creating value and driving positive outcomes for organizations and broader societal contexts.

Important Academic Dates

Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates

Learning Outcomes

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

  • ULO1: Analyze and articulate how analytics and algorithmic systems can be integrated into organizational strategies to drive business value.
  • ULO2: Demonstrate proficiency in managing analytics and algorithmic systems projects in groups, including planning, execution, and evaluation.
  • ULO3: Effectively communicate insights and strategies to various stakeholders, including non-technical audiences.
  • ULO4: Evaluate and implement data governance frameworks to ensure data quality, privacy, and security.
  • ULO5: Critically assess the ethical implications of data collection, analysis, and usage in business and societal contexts.
  • ULO6: Examine the broader societal impacts of analytics, including issues related to bias, transparency, and accountability

Assessment Tasks

Name Weighting Hurdle Due Groupwork/Individual Short Extension AI Approach
Professional practice: Analytics case study and evaluation 40% No 06/09/2026 Individual Yes Open AI
Professional practice: Analytics implementation plan and portfolio 40% No 25/10/2026 Individual and Group No Open AI
Skills development: Ethical reflection on analytics and algorithmic systems 20% No 01/11/2026 Individual Yes Open AI

Professional practice: Analytics case study and evaluation

Assessment Type 1: Professional task
Indicative Time on Task 2: 35 hours
Due: 06/09/2026
Weighting: 40%
Groupwork/Individual: Individual
Short extension 3: Yes
AI Approach: Open AI

The purpose of this assessment is for you to demonstrate your ability to critically evaluate how analytics and algorithmic systems are used to solve real-world business problems.
 
You will analyse a real-world case study where analytics and algorithmic decision-making were implemented. You will assess the effectiveness of the solution, identify any ethical and governance considerations (such as privacy, fairness, and accountability), and propose evidence-based alternative strategies or improvements
 
 
Skills in focus:
 
  • Critical thinking and problem solving 
  • Communication skills
  • Discipline knowledge
  • Global, ethical and environmental citizenship 
 
Deliverable(s): Individual written case study analysis [2500 words (+/- 10%)]
 
Individual assessment
 
 
On successful completion you will be able to:
  • Analyze and articulate how analytics and algorithmic systems can be integrated into organizational strategies to drive business value.
  • Demonstrate proficiency in managing analytics and algorithmic systems projects in groups, including planning, execution, and evaluation.
  • Effectively communicate insights and strategies to various stakeholders, including non-technical audiences.
  • Critically assess the ethical implications of data collection, analysis, and usage in business and societal contexts.

Professional practice: Analytics implementation plan and portfolio

Assessment Type 1: Professional task
Indicative Time on Task 2: 35 hours
Due: 25/10/2026
Weighting: 40%
Groupwork/Individual: Individual and Group
Short extension 3: No
AI Approach: Open AI

The purpose of this assessment is for you to demonstrate your ability to design a professional analytics and algorithmic systems implementation plan for an organisation.
 
You will develop a comprehensive implementation plan for a real or hypothetical organisation. This will include defining the project scope, specifying a data management strategy, outlining a governance framework, addressing ethical and regulatory considerations, and designing a stakeholder communication plan. You will compile these components into a cohesive portfolio that showcases your team’s approach.
 
 
Skills in focus:
 
  • Collaboration and communication
  • Digital skills
  • Work readiness
  • Discipline knowledge
 
Deliverable(s): Group analytics implementation plan and portfolio [4000 words (+/- 10%)]
 
Individual and group assessment
On successful completion you will be able to:
  • Analyze and articulate how analytics and algorithmic systems can be integrated into organizational strategies to drive business value.
  • Demonstrate proficiency in managing analytics and algorithmic systems projects in groups, including planning, execution, and evaluation.
  • Effectively communicate insights and strategies to various stakeholders, including non-technical audiences.
  • Evaluate and implement data governance frameworks to ensure data quality, privacy, and security.
  • Critically assess the ethical implications of data collection, analysis, and usage in business and societal contexts.

Skills development: Ethical reflection on analytics and algorithmic systems

Assessment Type 1: Reflection task
Indicative Time on Task 2: 15 hours
Due: 01/11/2026
Weighting: 20%
Groupwork/Individual: Individual
Short extension 3: Yes
AI Approach: Open AI

The purpose of this assessment is for you to deepen your understanding of the ethical implications of analytics and algorithmic technologies for individuals, organisations, and society.
 
You will write a reflective essay on a specific analytics or algorithmic technology or application, exploring how it impacts people and communities. You will consider issues such as privacy, fairness, accountability, and transparency, and reflect on your own responsibilities as a future professional working with data and algorithmic systems.
 
 
Skills in focus:
 
  • Global, ethical and environmental citizenship
  • Critical thinking and problem solving
  • Communication skills 
  • Discipline knowledge
 
Deliverable(s): Individual reflective essay [1500 words (+/- 10%)]
 
Individual assessment
 
 
On successful completion you will be able to:
  • Analyze and articulate how analytics and algorithmic systems can be integrated into organizational strategies to drive business value.
  • Demonstrate proficiency in managing analytics and algorithmic systems projects in groups, including planning, execution, and evaluation.
  • Critically assess the ethical implications of data collection, analysis, and usage in business and societal contexts.
  • Examine the broader societal impacts of analytics, including issues related to bias, transparency, and accountability

1 If you need help with your assignment, please contact:

  • the academic teaching staff in your unit for guidance in understanding or completing this type of assessment
  • Academic Success for academic skills support.

2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation.

3 An automatic short extension is available for some assessments. Apply through the Service Connect Portal.

Delivery and Resources

Please refer to iLearn

 

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Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit connect.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au

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At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.

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Unit information based on version 2026.03 of the Handbook