Engineers Clinic
IntermediateSoftware trackGB-CP-21

NHS Outpatient DNA (Did-Not-Attend) Predictor

Internship role: Data Science Placement Student. Predict missed outpatient appointments from synthetic booking data, evaluate fairness across age and deprivation deciles and propose a reminder policy with projected slots recovered.

10 Guided Steps240h Internship TierSubmit: GitHub repo or evidence pack + live demo / report + README + milestone logbookVerified CertificateAI Rubric Graded
Program Overview

Internship role: Data Science Placement Student. Predict missed outpatient appointments from synthetic booking data, evaluate fairness across age and deprivation deciles and propose a reminder policy with projected slots recovered.

What you submit

GitHub repo or evidence pack + live demo / report + README + milestone logbook

Stack: Python, scikit-learn, synthetic HES-style data, Streamlit

How it is graded

Signals: Milestone gates met; measurable result reported; documentation; deployment or evidence reachable; reflective log

  • Functionality & requirements30
  • Technical quality & architecture25
  • Documentation15
  • Deployment & evidence15
  • Innovation10
  • Presentation5

Pass 60% · Merit 75% · Distinction 90%

Learning Outcomes
240-hour United Kingdom programme. Missed appointments cost NHS England over £1bn a year; trusts run exactly these pilots with placement students.
Target Audience

Engineering Students

Diploma, B.Tech, B.E., BCA, MCA, or M.Tech students seeking practical experience.

Aspiring Developers

Developers who want to build proof-of-work capstone projects for tech resumes.

Job Seekers

Graduates looking for AI-evaluated code review & verified industry credentials.