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Thesis Academy Course Catalogue

Structured short courses and learning pathways for researchers at every stage.

Research foundations

Research questions, aims, objectives, evidence, planning and the fundamentals needed before deeper methodological work.

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Academic writing

Argument, paragraph structure, critical synthesis, academic register, cohesion and responsible self-editing.

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Literature reviews

Searching, evaluating, organising and synthesising literature into a critical review rather than a descriptive summary.

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Qualitative methods

Sampling, interviews, focus groups, reflexivity, coding, thematic analysis and qualitative research quality.

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Quantitative methods

Variables, sampling, measurement, hypotheses, validity, bias and analysis planning for quantitative studies.

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Statistics

Descriptive statistics, inference, effect sizes, confidence intervals, regression, assumptions and interpretation.

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SPSS

Practical SPSS workflows from data preparation and screening to analysis and output interpretation.

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R

Research-focused R skills for data preparation, modelling, visualisation, diagnostics and reproducible analysis.

Python

Python for research data handling, analysis, statistics, visualisation and reproducible notebook workflows.

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NVivo

Qualitative data organisation, coding frameworks, queries, memoing and transparent analysis workflows in NVivo.

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Research ethics

Consent, confidentiality, risk, data protection, recruitment, governance and ethical research planning.

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Viva preparation

Contribution, methods defence, limitations, results interpretation and examiner-style questioning practice.

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