Students

BIOL2610 – Biological Data Analysis

2026 – Session 1, Online-scheduled-weekday

General Information

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Unit convenor and teaching staff Unit convenor and teaching staff Convenor
Andrew Allen
Credit points Credit points
10
Prerequisites Prerequisites
40cp at 1000 level or above including (STAT1170 or STAT1250 or STAT1371) and (10cp(P) in BIOL units))
Corequisites Corequisites
Co-badged status Co-badged status
BIOL6610, BIOX2610
Unit description Unit description

Biological organisms are inherently variable, which means that practicing biologists need a solid grasp of how to design and implement experiments, perform statistical analyses on the resulting data, and correctly interpret the results of statistical tests. This unit provides a foundation in the principles of experimental design and data analysis for biology. The unit is taught by biology staff and draws on research carried out in the School of Natural Sciences. Students also learn the overall process of asking and answering questions in biology. Students learn a range of common data analysis techniques, and how to interpret the outcomes of these analyses. There is a strong emphasis on critically evaluating biological studies and identifying sound conclusions and not-so-sound conclusions. This unit is strongly recommended for students planning a career in biology or environmental science.

Learning in this unit enhances student understanding of global challenges identified by the United Nations Sustainable Development Goals (UNSDGs) Industry, Innovation and Infrastructure

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: Develop testable hypotheses from general scientific questions
  • ULO2: Design an unconfounded experiment to test a given scientific hypothesis
  • ULO3: Choose an appropriate statistical test to analyse experimental data
  • ULO4: Carry out and correctly interpret a range of commonly used statistical tests using the computer package R
  • ULO5: Clearly present outcomes of statistical analyses using figures, tables and text
  • ULO6: Critically evaluate other studies with respect to experimental design and the application and interpretation of statistics

General Assessment Information

Requirements to Pass this Unit 

To pass this unit you need to achieve a total mark equal to or greater than 50% 

 

Participation

There is no mandatory attendance of in person sessions for this unit. We strongly encourage all students to actively participate in all learning activities. Regular engagement is crucial for your success in this unit, as these activities provide opportunities to deepen your understanding of the material, collaborate with peers, and receive valuable feedback from instructors, to assist in completing the unit assessments. Your active participation not only enhances your own learning experience but also contributes to a vibrant and dynamic learning environment for everyone.

 

Late Submission Policy

  • 5% penalty per day: If you submit your assessment late, 5% of the total possible marks will be deducted for each day (including weekends), up to 7 days.

    • Example 1 (out of 100): If you score 85/100 but submit 20 hours late, you will lose 5 marks and receive 80/100.

    • Example 2 (out of 30): If you score 27/30 but submit 1 day late, you will lose 1.5 marks and receive 25.5/30.

  • After 7 days: Submissions more than 7 days late will receive a mark of 0.

  • Extensions:

    • Automatic short extension: Some assessments are eligible for automatic short extension. You can only apply for an automatic short extension before the due date.

    • Special Consideration: If you need more time due to serious issues and for any assessments that are not eligible for Short Extension, you must apply for Special Consideration.

Need help? Review the Special Consideration page HERE

Assessment Tasks

Name Weighting Hurdle Due Groupwork/Individual Short Extension AI Approach
Experiment Report 30% No 31/05/2026 Individual Yes Open
Practical Portfolio 20% No 31/05/2026 Individual Yes Open
Final Exam 50% No Exam Period Individual No Observed

Experiment Report

Assessment Type 1: Written Submission
Indicative Time on Task 2: 40 hours
Due: 31/05/2026
Weighting: 30%
Groupwork/Individual: Individual
Short extension 3: Yes
AI Approach: Open

You will design and conduct an experiment of your own. You will need to pick a question, design and carry out an experiment addressing that question, then write up the results in the form of a scientific paper.


On successful completion you will be able to:
  • Develop testable hypotheses from general scientific questions
  • Design an unconfounded experiment to test a given scientific hypothesis
  • Choose an appropriate statistical test to analyse experimental data
  • Carry out and correctly interpret a range of commonly used statistical tests using the computer package R
  • Clearly present outcomes of statistical analyses using figures, tables and text
  • Critically evaluate other studies with respect to experimental design and the application and interpretation of statistics

Practical Portfolio

Assessment Type 1: Portfolio
Indicative Time on Task 2: 13 hours
Due: 31/05/2026
Weighting: 20%
Groupwork/Individual: Individual
Short extension 3: Yes
AI Approach: Open

You will prepare a document that summarises your findings in 8 of the 13 practicals, including statistics and, where appropriate, accompanying tables and/or figures.


On successful completion you will be able to:
  • Carry out and correctly interpret a range of commonly used statistical tests using the computer package R
  • Clearly present outcomes of statistical analyses using figures, tables and text

Final Exam

Assessment Type 1: Examination
Indicative Time on Task 2: 2 hours
Due: Exam Period
Weighting: 50%
Groupwork/Individual: Individual
Short extension 3: No
AI Approach: Observed

You will be tested on your knowledge of the course content. The exam will cover information from lectures and practicals up to and including week 13. The final exam will be held during the final exam period.


On successful completion you will be able to:
  • Choose an appropriate statistical test to analyse experimental data
  • Carry out and correctly interpret a range of commonly used statistical tests using the computer package R
  • Critically evaluate other studies with respect to experimental design and the application and interpretation of statistics

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

Lectures

There are two live one-hour lectures per week that are conducted online. You are encouraged to attend these live online sessions to ask questions, but recordings will also be made available on iLearn. All students are expected to listen to the lectures prior to the practical for that week.

 

Practicals

Practicals last 2 hours each and are conducted on campus and online. You are strongly encouraged to attend.

 

iLearn

The primary means of communication for this unit is via iLearn, which can be accessed by most web browsers from inside or outside the University. You are expected to use iLearn for:

  • Regularly checking announcements
  • Discussing the unit and its content with staff and other students
  • Downloading Lecture and Practical materials
  • Downloading reference materials

Logging in to iLearn

  • The iLearn login page is: https://ilearn.mq.edu.au/
  • Username: your student number
  • Problems? Please contact Student IT Help
  • Need extra help due to a disability/health condition? Please visit the Student Services Website : https://students.mq.edu.au/support/wellbeing

 

Missed Practicals

If you know you will miss a practical, or if you have already missed one, please email the convenor at biol2610@mq.edu.au. There may be alternative practical slots, including the internal sessions, available for you to catch up.

 

Overall grades

The University grading is: fail (F <50%), pass (P 50%-64%), credit (CR 65%-74%), distinction (D 75%-84%) and high distinction (HD 85%-100%).

 

Exam Special Consideration

If you apply for Special Consideration for your final examination, you must make yourself available for the alternative examination period. If you are not available at that time, there is no guarantee an additional examination time will be offered. Specific examination dates and times will be determined at a later date.

 

Assignment submission, Turnitin and Plagiarism

This is a paperless unit, so no paper submission will be required for your written report, which will be submitted through iLearn via a Turnitin link. Your written assignment will be checked for plagiarism using Turnitin. Plagiarism will not be tolerated. Do not under any circumstances lend your work to another student. If that student plagiarises your work, you too may be liable. The penalties imposed by the University for plagiarism are serious and may include expulsion from the University. A full outline of the Universities policy on plagiarism is found at http://www.mq.edu.au/policy/doc s/academic_honesty/policy.html.

RESOURCES and SUPPORT

How to find the answers

1. Please read the unit outline.

2. Consult iLearn - often your question has already been asked and answered by another student.

3. If the answer to a question will benefit others, please post it on iLearn.

4. Ask a question by emailing biol2610@mq.edu.au.

4. Unexpected adjustments made during the unit will announced via announcements, so make sure you check iLearn regularly.

 

EMAIL PROTOCOL

1. Always submit questions to biol2610@mq.edu.au.

2. Please be courteous and patient - we will endeavour to reply to your email within 24 hours, excluding weekends. Responses will be delayed during weekends.

 

Text Book

There are no required textbooks for the unit, but there are two recommended textbooks: "Statistics Explained : An Introductory Guide for Life Scientists" and "The Analysis of Biological Data".

 

OTHER HELP

The Numeracy Centre offers drop-in sessions to students with statistical questions. It is located at 14 Sir Christopher Ondaatje Avenue, Room 188. For questions and scheduling, please visit the iLearn page.

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 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
24/03/2026 Date format updated

Unit information based on version 2026.02 of the Handbook