Unit convenor and teaching staff |
Unit convenor and teaching staff
Stefan Trueck
Nejhdeh Ghevondian
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Credit points |
Credit points
10
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Prerequisites |
Prerequisites
Admission to MBA or PGDipMgt or GradDipMgt or MSocEntre or GradCertSocEntre or GradCertDigFin
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
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Unit description |
Unit description
In today’s rapidly evolving business landscape, data-driven decision-making is paramount for strategic planning, tactical decision-making, and problem-solving. This unit equips modern business managers with quantitative and statistical research tools, advanced data analysis techniques, and machine learning modelling skills essential for harnessing data to drive transformative outcomes. Gain proficiency in quantitative methods and statistical tools to inform strategic decisions and develop innovative business strategies based on data-driven insights. Learn practical data analytics applications for tactical decision-making, including market segmentation, customer profiling, and performance optimisation across business functions. Explore efficient utilisation of resources through data analysis, enabling management effectiveness and cost optimisation strategies. |
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:
The following late penalty clause for written assignments should be inserted in this section.
Late Assessment Submission Penalty (written assessments)
Unless a Special Consideration request has been submitted and approved, a 5% penalty (of the total possible mark) will be applied each day a written assessment is not submitted, up until the 7th day (including weekends). After the 7th day, a grade of ‘0’ will be awarded even if the assessment is submitted. Submission time for all written assessments is set at 11.55pm. A 1-hour grace period is provided to students who experience a technical concern.
For any late submissions of time-sensitive tasks, such as scheduled tests/exams, performance assessments/presentations, and/or scheduled practical assessments/labs, students need to apply for Special Consideration.
Name | Weighting | Hurdle | Due |
---|---|---|---|
Individual Assignment | 30% | No | Week 5 |
Final project | 40% | No | Week 10 |
Class participation | 10% | No | Throughout the course |
In-Class Test | 20% | No | Week 10 |
Assessment Type 1: Programming Task
Indicative Time on Task 2: 10 hours
Due: Week 5
Weighting: 30%
Students will be required to practice what they have learned by completing the assignment.
Assessment Type 1: Project
Indicative Time on Task 2: 15 hours
Due: Week 10
Weighting: 40%
The final week. Comprised of a 30% project report and 10% individual presentation.
Assessment Type 1: Participatory task
Indicative Time on Task 2: 15 hours
Due: Throughout the course
Weighting: 10%
Weekly assessment of class participation in learning activities
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 10 hours
Due: Week 10
Weighting: 20%
A one hour open book test will be held in class.
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 delivery and necessary resources can be found in iLearn.
Additionally, resources include the following text book:
Bruce L. Bowerman, Anne M. Drougas, et al. ISE Business Statistics and Analytics in Practice, 9th Edition
Print Book (ISBN: 9781260287844)
https://www.mheducation.com.au/ise-business-statistics-and-analytics-in-practice-9781260287844-aus
eBook (ISBN: 9781260289626)
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 connect.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/
Academic Success 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 the Service Connect Portal, 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.
Unit information based on version 2025.04 of the Handbook