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    Data Science Dissertation Topics 2026

    Picking a strong data science dissertation topic is half the battle. This list is curated for UK undergraduate and Master's students, grouped by difficulty so you can match ambition to timescale. Each idea is workable within a UK research ethics framework and aligns with QAA subject benchmarks.

    Easy (Undergraduate)

    1. Time-series forecasting of UK electricity demand
    2. Fraud detection in UK challenger bank transactions
    3. NLP analysis of UK parliamentary debates
    4. Recommender systems for UK news publishers
    5. Anomaly detection in UK NHS admissions data
    6. Customer churn prediction in UK telcos

    Moderate (Master's)

    1. Explainable ML for UK credit decisioning
    2. MLOps maturity assessment across UK banking
    3. Bias audit of UK gov-issued algorithms
    4. Graph-based fraud detection in UK insurance claims
    5. Synthetic data generation for UK healthcare research
    6. Uplift modelling for UK retail marketing

    Advanced (Master's / PhD)

    1. Causal inference on UK policy interventions using observational data
    2. Federated learning across UK NHS Trusts
    3. Large language model evaluation for UK legal advice tools

    Choosing well

    Whichever data science topic you choose, narrow the population, time frame and geography before you write the proposal. A tight scope is easier to defend at viva than a broad one. Use our /research-methods pages to shape a realistic methodology, and see /services/assignment-help if you need a specialist to co-write.

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