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Discrete mathematics personal statement example

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  • Published: 17th September 2026
  • Word count: 857 words
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Why do you want to study this course or subject?

The module that changed how I saw mathematics was the one my class was least excited about: decision maths. We were given a map of roads with lengths marked on and asked to find the shortest route, and I expected a fiddly search. Instead there was a method that could be justified line by line, and which would keep working if the map had a thousand roads rather than eight. That gap between a problem that sounds like a riddle and an argument that settles it completely is what draws me to discrete mathematics. I like that the objects involved are things I can draw or list: graphs, sets, arrangements of counters, sequences of moves. Nothing is hidden behind a limit or an approximation, and yet the questions get hard very quickly. Counting the handshakes in a room is easy; counting the ways to colour a map so no two neighbours match is not, and I find that jump genuinely interesting rather than discouraging. I have also noticed how often these ideas sit underneath things I use daily. When I studied hashing and binary search trees in Computer Science, the interesting part was not the code but the reasoning about how many comparisons were needed and why. I would like to spend a degree working on that reasoning properly, with proof techniques I currently only half understand, including induction used on structures rather than just on numbers, and to see where combinatorics, graph theory, logic and algorithms meet. A course that treats these as a connected subject rather than scattered topics is exactly what I am looking for.

How have your qualifications and studies helped you to prepare?

My A levels in Mathematics, Further Mathematics and Computer Science have given me both the technical practice and the habits of argument I will need. In Further Maths I have taken the discrete options, covering graphs and networks, algorithms including sorting and route inspection, and an introduction to game theory. Writing up algorithms as clear steps, and then explaining why they terminate and why the answer is optimal, has been the most useful discipline: it is easy to follow a procedure and much harder to say why it cannot fail. Proof by induction and proof by contradiction in the pure modules have been my favourite work, and I now try to rewrite my own solutions more tightly after marking them. Computer Science has supported this from the other direction. For my project I built a small program that generates every valid timetable for a set of clubs with clashing times, and I compared brute force with a simple constraint check that discarded partial arrangements early. Watching the number of cases collapse taught me more about combinatorial explosion than reading about it did. Outside lessons I work through problems from a school-level olympiad book and take part in the UK Junior and Senior Mathematical Challenges through college. I have also read parts of Ian Stewart's writing on symmetry and pattern, and Hardy's A Mathematician's Apology, which made me think about why proof is valued for its own sake and not only for what it produces. My AS in Economics improved how I structure written explanations under time pressure.

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

Most weekday mornings I walk my younger brother to primary school and collect him twice a week, while my mother works early shifts. It is ordinary work, but it has made me organised in a way that shows in my study: I plan around fixed commitments rather than hoping for free evenings, and I have learned to get useful work done in short, defined blocks. Explaining his homework to him has also taught me that if I cannot say something in plain words, I probably do not understand it yet, which is a test I now apply to my own maths notes. Fortnightly I help at a coding club in my local library, mainly setting up laptops and sitting with children aged seven to ten while they build simple games. I am not the person planning the sessions, but I am often the one asked why something has gone wrong, and talking children through a loop that repeats once too often has sharpened my patience and my precision. At college I help run the chess club, arranging the ladder and keeping results. Chess is where my liking for finite problems started: a position has a fixed number of legal moves, and yet the tree of possibilities is far beyond anything I could list. I have enjoyed reading a little about how many positions exist and why exact answers are so hard to obtain. I also worked Saturdays in a bakery for a year, which was good practice in staying accurate when busy. I hope to bring that steadiness, along with genuine curiosity, to a demanding mathematics degree.

This example has 4,560 characters across the three answers. Use it for ideas and structure. Your own UCAS answers must fit within 4,000 characters in total, including spaces.

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