Students

BUSA6004 – Managing Data

2021 – Session 1, Special circumstances

Notice

As part of Phase 3 of our return to campus plan, most units will now run tutorials, seminars and other small group activities on campus, and most will keep an online version available to those students unable to return or those who choose to continue their studies online.

To check the availability of face-to-face and online activities for your unit, please go to timetable viewer. To check detailed information on unit assessments visit your unit's iLearn space or consult your unit convenor.

General Information

Download as PDF
Unit convenor and teaching staff Unit convenor and teaching staff
John Inekwe
Contact via via email
Credit points Credit points
10
Prerequisites Prerequisites
Admission to MMgmt
Corequisites Corequisites
Co-badged status Co-badged status
Unit description Unit description

This unit provides the quantitative/statistical research tools, data analysis and computer modelling necessary to assist managers with strategic planning, tactical decision-making, and resolving business problems. Students will develop research skills to solve problems.

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: Identify and describe models of managing data.
  • ULO2: Use quantitative research tools to assess the implications of strategic decisions from a whole of entity perspective and across a range of stakeholders.
  • ULO3: Apply a range of research tools and models of business performance and productivity to measure and track sustainable value creation across organisational processes and projects.

General Assessment Information

Assessment criteria for all assessment tasks will be provided on the unit iLearn site.

It is the responsibility of students to view their marks for each within-session-assessment on iLearn within 20 days of posting. If there are any discrepancies, students must contact the unit convenor immediately. Failure to do so will mean that queries received after the release of final results regarding assessment tasks (not including the final exam mark) will not be addressed.

Late submissions and extensions

Tasks 10% or less – No extensions will be granted. Students who have not submitted the task prior to the deadline will be awarded a mark of 0 for the task, except for cases in which an application for special consideration is made and approved.

Tasks above 10% - No extensions will be granted. There will be a deduction of 10% of the total available marks made from the total awarded mark for each 24 hour period or part thereof that the submission is late (for example, 25 hours late in submission – 20% penalty). This penalty does not apply for cases in which an application for special consideration is made and approved. No submission will be accepted after solutions have been posted.

Assessment Tasks

Name Weighting Hurdle Due
Online Quizzes 20% No Weeks 3, 6, 9 and 12
Individual Assignment 20% No Week 11
Final Examination 60% No University Exam Period

Online Quizzes

Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 15 hours
Due: Weeks 3, 6, 9 and 12
Weighting: 20%

 

There will be 4 online quizzes.

 


On successful completion you will be able to:
  • Identify and describe models of managing data.
  • Use quantitative research tools to assess the implications of strategic decisions from a whole of entity perspective and across a range of stakeholders.
  • Apply a range of research tools and models of business performance and productivity to measure and track sustainable value creation across organisational processes and projects.

Individual Assignment

Assessment Type 1: Quantitative analysis task
Indicative Time on Task 2: 15 hours
Due: Week 11
Weighting: 20%

 

Students will be required to complete a quantitative analysis task.

 


On successful completion you will be able to:
  • Identify and describe models of managing data.
  • Use quantitative research tools to assess the implications of strategic decisions from a whole of entity perspective and across a range of stakeholders.
  • Apply a range of research tools and models of business performance and productivity to measure and track sustainable value creation across organisational processes and projects.

Final Examination

Assessment Type 1: Examination
Indicative Time on Task 2: 20 hours
Due: University Exam Period
Weighting: 60%

 

An open book two hour online exam will be held during the University Examination Period.

 


On successful completion you will be able to:
  • Identify and describe models of managing data.
  • Use quantitative research tools to assess the implications of strategic decisions from a whole of entity perspective and across a range of stakeholders.
  • Apply a range of research tools and models of business performance and productivity to measure and track sustainable value creation across organisational processes and projects.

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

Prescribed Textbook

Croucher, John. S. (2018). Quantitative Analysis for Management, 6th edition. McGraw-Hill Education. ISBN: 9781760425029

You should bring this textbook to all lectures as it is also a workbook.

Please note: Students should only attain the 6th edition of this textbook, which is the only edition this class will be taught from. Furthermore, this course relies heavily on the learning material provided in the textbook (which also acts as an exercise book for in-class demonstration and activities). It is highly advised that students attain the required textbook as soon as possible and familiarise themselves with the textbook material, especially before the start of each class session for sessions with specific allocated chapters (which is made available in the unit schedule below as well as the class iLearn page).

Where to purchase the textbook?

McGraw Hill Education Australia – Online store: This textbook is also available for order via the publisher’s online store. For information on textbook prices and online ordering, please refer to the McGraw Hill Education Australia online store at https://www.mheducation.com.au/quantitative-analysis-for-management-6e-9781760425029-aus

Disclaimer: MQBS does not take responsibility for the stock levels of required textbooks from preferred retail outlets and other book retailers. To prevent disappointment if a textbook is out-of-stock, we highly advise students to order their textbooks as early as possible, or if the required textbook is currently out-of-stock, place an order with the book retailer as soon as possible so that these book retailers can monitor demand and supply, and adjust their stock orders accordingly.

Additional recommended texts

The texts listed below are optional only. It is not compulsory to attain a copy.

• Croucher, John S. (2016). Introductory mathematics and statistics for business (6th edition- revised). McGraw-Hill.

• Render, B., Stair, R., Hanna, M.E. and Hale, T.S. (2015). Quantitative analysis for management (12th edition). Pearson.

• Bowerman, B.L., O’Connell, R. and Murphree, E. (2013). Business statistics in practice (7th edition). McGraw-Hill

Calculator

A basic calculator with specific keys shown below is required in this unit since it will be used in all class tests and final exam. You may find it useful, but it is not necessary, to have a statistical calculator that has in-built statistical functions. There are several types of these:

• The lowest level statistical calculator has function keys such as the mean and standard

deviation but no other statistical function keys.

• The next level above also has function keys for correlation and linear regression. An

example is one of the Casio fx series such as the 82 or 100 series, but there are many others.

In any case, your calculator should include the following keys:

x! (also known as x factorial)

ex or ex or exp(x) (also known as e to the power x)

ln(x) also known as the “natural logarithm of x” or as the “logarithm to base e”

nCr also known as “n choose r”

You need to bring your calculator to every session class session. You should also bring your laptop computer, equipped with excel.

Access to Technology

Access to a personal computer and internet connection is required to access learning material/ resources online on Macquarie University's online learning management system called iLearn.

Students will also be required to gain access to statistical software called Minitab 16 or Excel. 

iLearn - Your class online learning resources page

The class iLearn page for this unit is located at: https://ilearn.mq.edu.au/. You must be enrolled in this class to see the class iLearn page.

Lecture slides

The lecture slides provided for this class will be minimal. The lectures will mostly be based on the textbook

Allocated supplementary readings

Students are required to attain the required text listed above and bring to every class session. There may be some supplementary readings (journal articles, case studies etc) set for this class. If so it will be announced on iLearn ahead of the class session in which it may be covered.

Unit Schedule

Please refer to iLearn. 

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:

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

Student Support

Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/

Learning Skills

Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to help you improve your marks and take control of your study.

The Library provides online and face to face support to help you find and use relevant information resources. 

Student Services and Support

Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.

Student Enquiries

For all student enquiries, visit Student Connect at ask.mq.edu.au

If you are a Global MBA student contact globalmba.support@mq.edu.au

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.

Changes since First Published

Date Description
10/02/2021 Updated technology requirements.

Unit information based on version 2021.02 of the Handbook