Data Science Project development - CHE00049M
Module summary
Students will learn to develop a research project from an initial idea, through a survey of existing work, to producing a proposal for the project including an initial experimental design, data management plan, plan of work and equality and diversity assessment. Students will select a focus area and a member of staff from one of the participating departments, and plan a research project in that area.
Module will run
| Occurrence | Teaching period |
|---|---|
| A | Semester 2 2025-26 |
Module aims
Students will learn to develop a research project from an initial idea, through a survey of existing work, to producing a proposal for the project including an initial experimental design, data management plan, plan of work and equality and diversity assessment. Students will select a focus area and a member of staff from one of the participating departments, and plan a research project in that area, including a review of the background literature.
Module learning outcomes
Students will be able to:
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Develop an outline project idea into a plan of work and experimental design.
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Design both exploratory data analysis and make formal hypotheses for testing.
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Select, appraise and critique relevant prior research.
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Create a literature review in a specialist subject area.
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Develop a data management plan.
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Analyse bibliometrics to investigate structural biases.
Module content
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The structure of scientific reasoning
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Planning a research project
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Writing a literature review
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Research data management
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Structural biases in science
Indicative assessment
| Task | % of module mark |
|---|---|
| Essay/coursework | 100 |
Special assessment rules
None
Additional assessment information
Literature and EDI review of the research project subject area
3500 word written report (100%)
Indicative reassessment
| Task | % of module mark |
|---|---|
| Essay/coursework | 100 |
Module feedback
Feedback will be provided through workshops, online exercises and a formative assessment. Feedback on summative work will be provided within 25 working days of the assessment.
Indicative reading
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Why trust science?
Naomi Oreskes. Princeton University Press 2019 -
Issues in open research data - Samuel A. Moore. Ubiquity Press 2014