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Computational physics personal statement example

PSE example
  • Reading time: 3 minutes
  • Price: Free download
  • Published: 4th October 2026
  • Word count: 640 words
  • File format: Text

Why do you want to study this course or subject?

The first job in the leisure centre plant room each morning is reading the pool temperatures. Over the years I noticed that the teaching pool lost far more heat on nights when the cover had not been pulled across. My colleagues treated this as common knowledge, but I wanted to know whether I could predict it. Last spring I wrote a short Python script that stepped the water temperature forward in five-minute intervals, combining a heat-loss term with an evaporation estimate. I then compared it with three months of our handwritten logs. The first version drifted badly by morning because my evaporation term reacted far too strongly to air temperature. Once I corrected it, the predicted overnight drop was usually within half a degree of what I had recorded. Seeing a physical model and real measurements line up is why I want to study computational physics. I enjoy understanding why something happens, but I am most absorbed when I have to turn that reasoning into a calculation a computer can run, then judge whether the answer deserves to be trusted. I want the depth in physics, numerical methods and programming to do that properly.

How have your qualifications and studies helped you to prepare?

I left school with GCSEs and went straight into work. This year I am completing an Access to Higher Education Diploma in Science at my local college, in the evenings alongside my job. The mathematics units have been the most demanding and the most useful. Calculus was new to me eighteen months ago, and I now use it comfortably in mechanics problems and when setting up rates of change. The thermal physics unit gave me a firmer grasp of specific heat capacity and latent heat, which I had used in my pool model without fully understanding them. For my practical assessment I measured a pendulum's period at increasing amplitudes and showed where the small-angle approximation begins to fail. I then reproduced the trend numerically. Because the course does not cover programming, I have been working through the early chapters of Mark Newman's Computational Physics on my own. Its treatment of the Euler and fourth-order Runge-Kutta methods made me rerun my pendulum simulation both ways. With larger time steps, Euler's energy crept steadily upward, while Runge-Kutta stayed far closer to constant. That showed me that the choice of method is part of the physics, not an afterthought.

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

Nine years of work have shaped how I study. I started at the leisure centre as a lifeguard and moved into the plant room as a technical assistant four years ago. The job involves routine checks of water chemistry, filter pressures and heating. These must be recorded accurately because other people act on the numbers, and that habit of careful, consistent measurement carried straight into my coursework. The job has also taught me to explain things plainly. When I show a new colleague how to backwash a filter, I need to know why each valve matters, not just the order. Once a month I volunteer at a repair café in a church hall, mostly fixing lamps, kettles and the odd toaster. Tracing a fault with a multimeter is a small, satisfying piece of applied physics. Chatting with owners while I work has also made me patient with problems that do not resolve quickly. On Thursday nights I play five-a-side, the one fixed point in a week split between shifts and study. Fitting evening classes around a rotating rota has meant planning carefully and protecting time for problem sets, and I have met every assessment deadline. I have chosen to return to study deliberately and am ready to commit to it fully.