Research theme · 29 selected briefs
These topics ask how a model, dataset or analytical method behaves under a stated set of conditions. They span computing, statistics and selected applied fields where the research question genuinely uses a data method.
A software build is different from a statistical analysis: each brief identifies whether the work evaluates a model, studies data quality or compares an analytical method. Dataset access and evaluation criteria need to be settled before implementation.
Health Information Management · Epidemiologic data quality
This Health Information Management final year project examines the sensitivity of descriptive surveillance summaries to missing fields in a fictional dataset using generated records with labelled missingness patterns and no real patient information, with the evidence and comparison limited to an agreed scope.
Read the proposed briefArtificial Intelligence · Machine learning workflows
This Artificial Intelligence final year project examines choosing which unlabelled examples should receive limited human annotation through a bounded AI prototype with an explicit baseline and evaluation dataset.
Read the proposed briefData Science · Predictive modelling
This Data Science final year project investigates assessing minority-class performance without leaking evaluation information, with explicit data definitions and reproducible analysis rather than invented findings.
Read the proposed briefArtificial Intelligence · Trustworthy machine learning
This Artificial Intelligence final year project examines comparing uncertainty estimates when inputs depart from training conditions through a bounded AI prototype with an explicit baseline and evaluation dataset.
Read the proposed briefData Science · Text data quality
This Data Science final year project investigates identifying reviews whose written sentiment differs from their numerical rating, with explicit data definitions and reproducible analysis rather than invented findings.
Read the proposed brief