Unit convenor and teaching staff |
Unit convenor and teaching staff
Ali Eshraghi
|
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Credit points |
Credit points
10
|
Prerequisites |
Prerequisites
Admission to Master of Research
|
Corequisites |
Corequisites
|
Co-badged status |
Co-badged status
BUSA8030
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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. |
Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
Late submissions of assessments Unless a Special Consideration request has been submitted and approved, no extensions will be granted. There will be a deduction of 10% of the total available assessment-task marks made from the total awarded mark for each 24-hour period or part thereof that the submission is late. Late submissions will only be accepted up to 96 hours after the due date and time.
No late submissions will be accepted for timed assessments – e.g., quizzes, online tests.
Table 1: Penalty calculation based on submission time
Submission time after the due date (including weekends) |
Penalty (% of available assessment task mark) |
Example: for a non-timed assessment task marked out of 30 |
< 24 hours |
10% |
10% x 30 marks = 3-mark deduction |
24-48 hours |
20% |
20% x 30 marks = 6-mark deduction |
48-72 hours |
30% |
30% x 30 marks = 9-mark deduction |
72-96 hours |
40% |
40% x 30 marks = 12-mark deduction |
> 96 hours |
100% |
Assignment won’t be accepted |
Special Consideration
To request an extension on the due date/time for a timed or non-timed assessment task, you must submit a Special Consideration application. An application for Special Consideration does not guarantee approval.
The approved extension date for a student becomes the new due date for that student. The late submission penalties above then apply as of the new due date.
Name | Weighting | Hurdle | Due |
---|---|---|---|
Data, Analytics and Change Management Plan | 30% | No | 02/06/22 |
Participation & Engagement | 10% | No | Weekly, from week 2 to 12 |
Online Quiz | 30% | No | 04/04/22, 30/05/22 |
Case Study | 30% | No | 24/04/22 |
Assessment Type 1: Case study/analysis
Indicative Time on Task 2: 30 hours
Due: 02/06/22
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%).
Assessment Type 1: Participatory task
Indicative Time on Task 2: 26 hours
Due: Weekly, from week 2 to 12
Weighting: 10%
Weekly engagement in seminar and/or discussion forum participation.
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 25 hours
Due: 04/04/22, 30/05/22
Weighting: 30%
Two open book online tests will be held.
Assessment Type 1: Case study/analysis
Indicative Time on Task 2: 30 hours
Due: 24/04/22
Weighting: 30%
Students will produce a 2,500 word research paper, critically analysing academic and professional outlets as well as given scenario(s) and answering specific question(s) posed
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
The unit will be offered face 2 face (in-person). The unit is comprised of 13 x 3-hour seminars in weeks 1 to 13. Each weekly seminar includes lectures coupled with Q&A sessions and activities on iLearn.
Group work is an inherent requirement for completing this unit satisfactorily.
Gressel, S., Pauleen, D. J., & Taskin, N. (2020). Management Decision-Making, Big Data and Analytics. SAGE.
R. Kelly Rainer, Brad Prince, (2016) Introduction to Information Systems, 6th Edition (Chapters 1 and 10). WILEY
We will have some recommended readings included in the iLearn website for this unit so that we can better understand the context in which we are applying our analytical knowledge.
Unit Web Page
Course material is available on the learning management system (iLearn). The general online website is http://ilearn.mq.edu.au
The unit will cover the following themes.
Data, analytics, and evidence-based decision making
Contemporary digital technologies and enterprise systems for analytics
Design thinking in business analytics
Business process management and change management
Ethics and accountability in analytics
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:
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.
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 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
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.
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
The Writing Centre provides resources to develop your English language proficiency, academic writing, and communication skills.
The Library provides online and face to face support to help you find and use relevant information resources.
Macquarie University offers a range of Student Support Services including:
Got a question? Ask us via AskMQ, or contact Service Connect.
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.
Date | Description |
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29/03/2022 | Some small changes in the dates of quizzes to meet the requirements of hybrid mode |
Unit information based on version 2022.04 of the Handbook