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Postgraduate research mentor with 10+ years of experience supporting dissertation development across disciplines. Former research methods lecturer specialising in methodology, literature reviews, and qualitative and quantitative analysis using SPSS and NVivo. Certified in Advanced Research Methods with expertise in UK postgraduate research standards and academic integrity.

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Frequently Asked Questions

Get Answers to the most frequently asked questions from students

  • What makes a good media dissertation topic?

    A good media dissertation topic is one that zeroes in on a single clear platform, audience group, representation issue or regulatory debate, rather than a very broad media trend. It should link clearly with media theory, allow for structured analysis with identifiable evidence and be focused enough to make for a strong argument between different dissertation chapters.

  • How long should a media dissertation be at UK universities?

    Most undergraduate media dissertations in UK universities tend to be between 8,000 and 12,000 words long, with master’s dissertations usually ranging from 12,000 to 20,000 words. Departments tend to define quality in terms of research depth, theoretical engagement and chapter structure, rather than word count alone. It is always important to follow your programme guidance.

  • What are the most popular research methods in media dissertations?

    Media students commonly apply discourse analysis to study narratives, textual analysis to analyse media content, audience research to explore patterns of reception, and case study approaches to investigate platforms or campaigns in depth. Policy analysis is also often used in the study of regulation, streaming services, journalism standards, or debates around platform governance.

  • Are AI and social media topics appropriate for a media dissertation?

    Media dissertations are more encouraged to include AI and social media topics. But they should not be limited to mere descriptions. And plumb deep into heavy topics like the way algorithms decide news and visibility, the way creators depend on platforms, the way misinformation propagates, or how digital labour functions online. Good projects also relate these issues to established media theory rather than treating them as underlying technical trends.

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