- Reading time: 3 minutes
- Price: Free download
- Published: 17th September 2026
- Word count: 857 words
- File format: Text
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.
Why this example works — strengths and ways to improve
This is a well-judged statement. Its motivation rests on precise mathematical observations rather than claimed passion, and its evidence is ordinary and believable. The main problem is length. At 4,560 characters, it is about 560 over the UCAS limit, so you need to cut. Weaker sentences in the second and third answers are the natural candidates.
Subject motivation
That gap between a problem that sounds like a riddle and an argument that settles it completely
This works because it names what attracts you: the move from a puzzle to a complete justification that scales. The handshake versus map-colouring contrast shows real understanding of why discrete problems get hard. The closing line about a connected course is weaker. It reads close to a university-specific claim and could go.
Academic preparation
explaining why they terminate and why the answer is optimal
You go beyond listing modules and identify the specific intellectual discipline they built: justifying termination and optimality, not just following a procedure. The Economics sentence adds little to a mathematics application. Cutting it would recover space without losing anything important.
Evidence and reflection
Watching the number of cases collapse taught me more about combinatorial explosion than reading about it did.
This is your strongest reflection. A modest timetable project leads to a concrete conclusion about pruning and growth rates, which is exactly what an accessible project should do. The Hardy reference is handled well too, because you say what it made you think rather than simply citing it.
Relevant experience
talking children through a loop that repeats once too often
Ordinary responsibilities are used selectively and honestly here, and you sensibly admit you do not plan the club sessions. The off-by-one detail makes 'precision' credible. The bakery sentence offers only a generic skill claim. Of everything in the third answer, it contributes least.
Credibility and voice
proof techniques I currently only half understand
The voice is plausibly that of a school student: curious, specific and candid about its limits. Admissions like that build trust. The final sentence about 'genuine curiosity' tells the reader what the statement has already shown, so it weakens an otherwise restrained tone.
Structure and format
I also worked Saturdays in a bakery for a year
Each answer comfortably exceeds 350 characters and there is little duplication between them. However, the combined 4,560 characters exceeds the 4,000 limit. You will need to cut roughly 560 characters, and low-value lines like this one, the Economics sentence and the closing line are obvious cuts.
What you’ve done well
- The motivation is grounded in concrete mathematical contrasts, such as shortest routes and map colouring, rather than generic enthusiasm.
- The timetable project shows a clear method comparison, and the reflection on it is specific and honest.
- Ordinary commitments are linked to study habits convincingly. The plain-words test you apply to your own notes is a good example.
How this draft could improve
- Reduce the total length to 4,000 characters by removing the bakery, Economics and generic closing sentences, then tighten any wordy phrasing.
- Replace the line about a course that treats these as a connected subject with a closing thought about your own interests, since the same statement goes to every choice.
- Consider whether the chess paragraph's reading about position counts could carry one specific idea you understood, instead of 'a little'.