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  3. Skills for Data-intensive Research

Skills for Data-intensive Research (BINF90018)

Graduate courseworkPoints: 12.5On Campus (Parkville)

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Overview

Availability
Winter Term - On Campus
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This subject is designed to equip students with critical professional skills and tools that are vital for managing and optimising data-intensive computational workflows. Through practical, hands-on experience, students will develop the proficiency needed to effectively utilise command-line environments, automate processes, design workflows, and ensure reproducibility in their analyses.

Intended learning outcomes

On completion of this subject, students should be able to:

  • Identify the principles of reproducible research and articulate their importance to scientific practice.
  • Use the command-line to read, summarise, and manipulate files and data, and to interact with different computing environments.
  • Document computational work utilising version control and software packaging systems.
  • Design, reproduce and scale analyses through automated workflows to enhance productivity and consistency.
  • Manage, organise, and share software and data analysis projects, in independent and teamwork settings.
  • Interpret and assess the quality of coding and data analysis projects.

Generic skills

  • Project management, including organising projects in ways that enable accessibility and reproducibility.
  • Problem-Solving including troubleshooting and resolving technical issues using a range of tools and techniques.
  • Communication, teamwork and collaboration
  • Technical rigor and precision in both individual and collaborative work.

Last updated: 24 December 2025