MSc Data Science

Annotated model answers written to the conventions of a UK MSc Data Science, covering secure database design, interpretable machine learning, data visualisation and cloud big data architecture. Each is a worked example of a different postgraduate move.

4 samples Undergraduate · BSc level c. 2,000 words each

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The four samples

Each card links to the annotated page for that assignment, where two or three passages are quoted and the reasoning behind them written out.

Database Systems Model answer

Designing a Secure Relational Database for a Private Outpatient Clinic: Data Modelling, Threat Analysis and Defence in Depth

MSc Data Science · c. 2,400 words · Harvard

An MSc Data Science report that designs a clinical database and then argues against its own obvious optimisation. Three annotated extracts show how security reasoning changes a design decision.

  • Rejects a performance optimisation on security grounds
  • STRIDE threat model scored and specific to this system
  • Separates technical controls from organisational ones
Machine Learning Model answer

Interpretability versus Accuracy in Clinical Machine Learning: Comparing Logistic Regression, SVMs and Random Forests

MSc Data Science · c. 2,350 words · Harvard

An MSc Data Science report that recommends the model which did not win on accuracy, and justifies it properly. Three annotated extracts show how to let context override a leaderboard.

  • Recommends against the best-scoring model, and proves nothing is lost
  • Treats classification as a choice of operating point
  • Closes the data-leakage route that would void the comparison
Data Visualisation Model answer

Clarity and Integrity in Data Visualisation: Redesigning a Healthcare Performance Chart

MSc Data Science · c. 2,300 words · Harvard

An MSc essay that redesigns a real-world chart and then asks what the redesign still hides. Three annotated extracts show how to engage with a canonical theory instead of reciting it.

  • Treats Tufte as contested, and explains why the dispute persists
  • Ethics section turns on its own redesign, not a textbook example
  • Declares data provenance before critiquing
Big Data and Cloud Model answer

A Cloud Big Data Architecture for a UK Grocery Retailer: Evaluating Distributed Processing Frameworks and Service Models

MSc Data Science · c. 2,400 words · Harvard

An MSc report that challenges the assumption cloud is cheaper, and shows when it is not. Three annotated extracts show how to evaluate an architecture against a specific business, not in general.

  • Makes 'cloud is cheaper' conditional, and names the condition
  • Evaluates against three named workloads, so it can decide
  • Cost critique feeds back into the proposed design