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MB5370 - Techniques in Marine Science 1

Credit points: 3
Year: 2023
Student Contribution Band: Band 2
Administered by: College of Science and Engineering

Available to postgraduate science students.

Available to postgraduate science students enrolled in the Master of Marine Biology. This subject will provide students with practical skills and knowledge in data science approaches that are used to understand biological and ecological processes in marine and coastal environments. Learning is problem-based and emphasises hands-on skills development through practical and demonstration sessions. The subject comprises discrete learning modules that each involve 20 to 40 hours of study, and that have a component of self-paced online learning of theory followed by in-person practical sessions. After completing an initial compulsory module that provides a foundation of coding and data-manipulation skills, students will choose from a set of modules that focus on different ecological questions and conservation-based analyses that will form the basis of learning a variety of modern analytical platforms. The modules were designed in consultation with our research partners and stakeholders in industry and government to ensure that the knowledge and skills developed during the subject are directly relevant for marine science professionals. Various staff members in the College are involved in teaching the different learning modules in this subject.

Learning Outcomes

  • retrieve, analyse, synthesize and evaluate complex information to critically appraise the application of contemporary theories in marine biology for creating sustainable communities and environments in the tropics;
  • organise, analyse and interpret complex scientific data using mathematical, statistical and technological skills, and apply an integrated understanding of multiple approaches in order to assess the best method for different scenarios;
  • demonstrate mastery of a broad range of advanced technical and practical skills required for data handling, processing, analysis and communication as required in marine science practice.

Subject Assessment

  • Written > Test/Quiz 1 - (20%) - Individual
  • Written > Problem task - (30%) - Group & Individual
  • Written > Workbook - (50%) - Individual.
Students enrolling in this subject should have an undergraduate degree in a relevant discipline (e.g. biology or environmental science) or have acquired equivalent knowledge through other study. Students enrolling in this subject should have a high degree of competency in data manipulation and biological statistics, and some prior experience of computer programming, such as the use of the R statistical software. Basic knowledge of Geographical Information Systems is also useful but not essential.


Townsville, Study Period 1, Internal
Census Date 23-Mar-2023
Coordinator: Dr Nicholas Murray
Lecturer: Dr Ira Cooke.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 20 hours lectures
  • 40 hours workshops
  • assessment and self-directed study

Townsville, Study Period 2, Internal
Census Date 24-Aug-2023
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 20 hours lectures
  • 40 hours workshops
  • assessment and self-directed study

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.