Data Science for Cognitive Neuroscience and Psychology

Undergraduate | 2026

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Area/Catalogue
PSYC 2015
Course ID icon
Course ID
204589
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course level icon
Course level
2
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No
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Note:
Course data is interim and subject to change

Course overview

The aim of this course is to develop students' skills in the analysis, visualisation and critical understanding of data, to familiarise them with the basics of coding in an open source programming language relevant to data science, and to introduce the principles of open and reproducible science. In this course, students will learn how to gain insights from data using contemporary computational tools. The aim of this course is to this end, they will attain basic programming skills in an open source programming language (R or Python) and learn how to use online repositories such as GitHub or the Open Science Framework to share data and code. Students will also develop an understanding of how these tools help to foster open science, reproducible research and thus the ethical treatment of data. While critical for research in cognitive (neuro-)science, the data science skills acquired in this course generalise readily to other domains.

Course learning outcomes

  • Generate appropriate insights from data of various types
  • Perform data manipulation, visualisation and inference using appropriate open-source computational tools
  • Use version control tools and online repositories for sharing of data and code
  • Demonstrate a critical understanding of the principles of open and reproducible science

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A