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Computer science personal statement example

PSE example
  • Reading time: 3 minutes
  • Price: Free download
  • Published: 4th October 2026
  • Word count: 673 words
  • File format: Text

Why do you want to study this course or subject?

On Tuesday evenings I ring the fourth bell at our parish church. In change ringing each row is an ordering of the bells, and from one row to the next a bell may only swap places with a neighbour. A full extent on six bells means ringing all 720 orderings without repeating one, and the methods ringers learn to achieve this are really algorithms carried out by six people at once. Last year I wrote a Python program to generate Plain Bob Minor and check longer touches for repeated rows. The ringing rules were easy to code; the interesting part was representation. Comparing each new row against a growing list became slow, but storing rows as strings in a set made the check almost instant. That small decision about a data structure is what draws me to computer science: the same problem can be simple or clumsy depending on how you model it. I want to understand properly why some approaches scale and others do not, rather than relying on trial and error. I am especially interested in algorithms and in how larger systems are designed so that teams can build and maintain them, and a degree would let me study both with real depth.

How have your qualifications and studies helped you to prepare?

I am studying Maths, Further Maths, Computer Science and Geography at A level. For my Computer Science NEA I am building a web application for booking music practice rooms at school, using Flask and SQLite. Teachers currently use a paper sheet, and double bookings are common. Designing the database made me think carefully about how to store a booking so that clashes could be detected with a single query, and I asked six students to try an early version, which showed me that the cancellation button was too easy to press by accident. Further Maths has been unexpectedly useful: the graph algorithms in the decision module, such as Dijkstra's and Prim's, gave me a way to reason about efficiency on paper, and proof by induction now makes recursive functions feel less like magic. Geography fieldwork taught me to clean messy data before trusting it; our river survey spreadsheet had inconsistent units that would have spoiled every graph. Outside lessons I read Algorithms to Live By by Brian Christian and Tom Griffiths. Its chapter on caching, and the idea of evicting whatever was least recently used, made me look again at how browsers and operating systems decide what to keep close at hand. I also work through problems on Isaac Computer Science to stretch my understanding beyond the specification.

What else have you done to prepare outside of education, and why are these experiences useful?

Since Year 11 I have worked Saturdays at a garden centre, mostly on the tills and helping with stock counts. Seeing how a barcode scan updates stock, and how often the counts still disagree with the system, made me curious about where errors creep into data. Last summer I spent a week shadowing the IT service desk at our local council. I was there as an observer and helper: I sat with technicians while they triaged tickets, labelled and unboxed replacement laptops, and ran setup checklists under supervision. What stayed with me was how much of the job involved turning a vague report such as "the system is slow" into a precise question, which is the same skill I need when testing my own code. At the bell tower I help teach two beginners to handle a bell safely, and I keep the practice rota in a shared spreadsheet, adding a simple formula that flags weeks when we are short of ringers. Ringing has taught me patience and concentration, because one slip affects everyone. On weekdays I walk my younger brother to primary school, which means organising my mornings carefully around study. These commitments are not glamorous, but they have made me reliable, practical and comfortable working with people of all ages.