Students
BUSA8030 – Management of Data, Analytics and Change
2023 – Session 2, In person-scheduled-weekday, North Ryde
General Information
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| Unit convenor and teaching staff |
Unit convenor and teaching staff
Ali Eshraghi
|
|---|---|
| Credit points |
Credit points
10
|
| Prerequisites |
Prerequisites
Admission to MBusAnalytics or MEngMgt or MActPrac
|
| Corequisites |
Corequisites
|
| Co-badged status |
Co-badged status
|
| Unit description |
Unit description
This unit makes decision making, people management and soft skills in analytics a priority. It will help students develop an understanding of how data analytics can be used to influence decision making, to manage business processes, projects and people, and to drive change. Students will also learn about enterprise information systems and contemporary digital technologies that are essential for managing data and driving analytics in organisations. The unit will cover topics such as business-analytics alignment, contemporary digital technologies, business process management, change management, and accountability and ethics in business analytics. The unit also will include how to examine the value propositions of data analytics projects and how to engage key stakeholders to achieve short-term and long-term organisational goals. |
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: Assess human, ethical, organisational and technical issues associated with data and business analytics.
- ULO2: Recognise and apply different perspectives to help organisations develop evidence-based and data driven decision making practices.
- ULO3: Design and conduct analysis to prepare organisations and employees for change.
- ULO4: Examine and (re)design business processes for successful use of business analytics initiatives and projects in organisations.
- ULO5: Examine and analyse fundamental digital technological needed for effective implementation of analytics projects.
Assessment Tasks
| Name | Weighting | Hurdle | Due |
|---|---|---|---|
| Online Quiz | 30% | No | Week 7 and Week 12 |
| Case Study | 30% | No | Week 10 |
| Participation & Engagement | 10% | No | Weekly |
| Data, Analytics and Change Management Plan | 30% | No | Week 13 |
Online Quiz
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 25 hours
Due: Week 7 and Week 12
Weighting: 30%
Two open book online tests will be held.
On successful completion you will be able to:
- Assess human, ethical, organisational and technical issues associated with data and business analytics.
- Recognise and apply different perspectives to help organisations develop evidence-based and data driven decision making practices.
- Design and conduct analysis to prepare organisations and employees for change.
- Examine and (re)design business processes for successful use of business analytics initiatives and projects in organisations.
- Examine and analyse fundamental digital technological needed for effective implementation of analytics projects.
Case Study
Assessment Type 1: Case study/analysis
Indicative Time on Task 2: 30 hours
Due: Week 10
Weighting: 30%
Students will produce a 2,500 word report, critically analysing a given case study and answering specific question(s) posed.
On successful completion you will be able to:
- Recognise and apply different perspectives to help organisations develop evidence-based and data driven decision making practices.
- Examine and analyse fundamental digital technological needed for effective implementation of analytics projects.
Participation & Engagement
Assessment Type 1: Participatory task
Indicative Time on Task 2: 26 hours
Due: Weekly
Weighting: 10%
Weekly engagement in seminar and/or discussion forum participation.
On successful completion you will be able to:
- Assess human, ethical, organisational and technical issues associated with data and business analytics.
- Recognise and apply different perspectives to help organisations develop evidence-based and data driven decision making practices.
Data, Analytics and Change Management Plan
Assessment Type 1: Case study/analysis
Indicative Time on Task 2: 30 hours
Due: Week 13
Weighting: 30%
This group assignment uses a design thinking approach, and will require students to understand business goals, design proper business processes, determine required enterprise systems to support business processes, prepare the organisation for change, and propose analytics initiatives and systems that support business goals.
Students will be required to: 1) Submit a group report (2,500 words, worth 15%); and 2) Present their recommendation (worth 15%).
On successful completion you will be able to:
- Assess human, ethical, organisational and technical issues associated with data and business analytics.
- Recognise and apply different perspectives to help organisations develop evidence-based and data driven decision making practices.
- Design and conduct analysis to prepare organisations and employees for change.
- Examine and (re)design business processes for successful use of business analytics initiatives and projects in organisations.
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
- the Writing Centre 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
Delivery and Resources
BUSA8030/BUSA7030 will be offered via a mixture of lectures, guest speaker sessions, class activities, and student consultations. While there might be some adjustments, the general timing will be as follows: Mondays: Lecture Seminars and Tutorial Activities
- Stream 1: from 2 pm to 5 pm
- Stream 2: from 5 pm to 8 pm
Fridays: Student Consultations (via Zoom)
- All Streams: from 2 pm to 3 pm
- Please ask for ad-hoc consultation too.
* Please note some weeks we may run the activity part longer than and different to what is scheduled * You should only attend the stream that you are enrolled i
Policies and Procedures
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
- Academic Appeals Policy
- Academic Integrity Policy
- Academic Progression Policy
- Assessment Policy
- Fitness to Practice Procedure
- Assessment Procedure
- Complaints Resolution Procedure for Students and Members of the Public
- Special Consideration Policy
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.
Student Code of Conduct
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct
Results
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 ask.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
Academic Integrity
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.
Student Support
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
The Writing Centre
The Writing Centre provides resources to develop your English language proficiency, academic writing, and communication skills.
- Workshops
- Chat with a WriteWISE peer writing leader
- Access StudyWISE
- Upload an assignment to Studiosity
- Complete the Academic Integrity Module
The Library provides online and face to face support to help you find and use relevant information resources.
Student Services and Support
Macquarie University offers a range of Student Support Services including:
- IT Support
- Accessibility and disability support with study
- Mental health support
- Safety support to respond to bullying, harassment, sexual harassment and sexual assault
- Social support including information about finances, tenancy and legal issues
- Student Advocacy provides independent advice on MQ policies, procedures, and processes
Student Enquiries
Got a question? Ask us via AskMQ, or contact Service Connect.
IT Help
For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/.
When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
Unit information based on version 2023.06 of the Handbook