Students

MHHS8004 – Research Methodology and Analysis

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
Thomas Fath
thomas.fath@mq.edu.au
Jennifer Rowland
jen.rowland@mq.edu.au
Credit points Credit points
10
Prerequisites Prerequisites
Corequisites Corequisites
Co-badged status Co-badged status
Unit description Unit description

In this unit you will explore advanced practice in data analysis related to the research problems faced in your field of study. You will learn about the fundamentals of reproducible science using case studies that illustrate various practices. You will review different research data, and explore best practice in preparing it for reports and publications. You will learn about experimental design and methodology relevant to your research discipline; including data analytics and statistical analysis, and digital tools that support your research.

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: Critically review research methodologies and justify analytical approaches to interpret data.
  • ULO2: Critique and apply theories and methodologies underpinning analytical approaches for advanced research data. 
  • ULO3: Explain complex research concepts and ideas using discipline-specific language. 
  • ULO4: Present clearly articulated analysis of data from your selected research discipline. 

Assessment Tasks

Name Weighting Hurdle Due Groupwork/Individual Short Extension AI Approach
Data analysis quiz 25% No Week 8 Individual No Observed
Presentation of data analysis strategy 35% No Week 10 Individual No Observed
Data Analysis Report 40% No 16/11/2026 Individual Yes Open

Data analysis quiz

Assessment Type 1: Examination
Indicative Time on Task 2: 15 hours
Due: Week 8
Weighting: 25%
Groupwork/Individual: Individual
Short extension 3: No
AI Approach: Observed

This quiz will focus specifically on what you have learnt about research data analysis. 
On successful completion you will be able to:
  • Critically review research methodologies and justify analytical approaches to interpret data.
  • Critique and apply theories and methodologies underpinning analytical approaches for advanced research data. 

Presentation of data analysis strategy

Assessment Type 1: Presentation task
Indicative Time on Task 2: 35 hours
Due: Week 10
Weighting: 35%
Groupwork/Individual: Individual
Short extension 3: No
AI Approach: Observed

You will present your data analysis strategy for a case you have chosen from your discipline area. 
On successful completion you will be able to:
  • Critically review research methodologies and justify analytical approaches to interpret data.
  • Critique and apply theories and methodologies underpinning analytical approaches for advanced research data. 
  • Explain complex research concepts and ideas using discipline-specific language. 
  • Present clearly articulated analysis of data from your selected research discipline. 

Data Analysis Report

Assessment Type 1: Written Submission
Indicative Time on Task 2: 35 hours
Due: 16/11/2026
Weighting: 40%
Groupwork/Individual: Individual
Short extension 3: Yes
AI Approach: Open

You will analyse data from your discipline and present in a report also outlining your approach. 
On successful completion you will be able to:
  • Critically review research methodologies and justify analytical approaches to interpret data.
  • Critique and apply theories and methodologies underpinning analytical approaches for advanced research data. 
  • Explain complex research concepts and ideas using discipline-specific language. 
  • Present clearly articulated analysis of data from your selected research discipline. 

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

As a student enrolled in this unit, you will engage in a range of online and face-to-face learning activities, including readings, online modules, tutorials, practicals, videos and lectures. Details can be found on the iLearn site for this unit.

 

Recommended Readings

Recommended reading will be provided in the weekly material on the iLearn site for this unit.

 

Technology Used

Active participation in the learning activities throughout the unit will require students to have access to a tablet, laptop or similar device. Students who do not own their own laptop computer may borrow one from the university library.

Unit Schedule

A detailed Unit schedule is available on the Unit iLearn site.

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 connect.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/

Academic Success

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. 

Student Services and Support

Macquarie University offers a range of Student Support Services including:

Student Enquiries

Got a question? Ask us via the Service Connect Portal, or contact Service Connect.

IT Help

For help with University computer systems and technology, visit https://students.mq.edu.au/support/technology/service-desk. 

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 2026.02 of the Handbook