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- Published: 17th September 2026
- Word count: 585 words
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Personal statement example
My degree gave me the physical science of climate change; my job has shown me how unevenly it lands on people. As a repairs and planning administrator for a housing association, I log the jobs that come in after heavy rain: blocked gullies, damp in ground-floor flats, a flat roof that fails every second winter. Individually they are maintenance tickets. Together they are a risk profile, and nobody in my office has the tools to read them that way. That gap is what I want to study.
My undergraduate dissertation was my first attempt at thinking in terms of exposure rather than hazard alone. I mapped surface water flood risk across residential streets in my home town, combining Environment Agency flood risk data with council information on property age and basement or ground-floor conversions. The physical modelling was not mine to do, but the work of matching datasets taught me a great deal: postcodes that did not align with property boundaries, records that described a building's use ten years out of date, and the temptation to treat a tidy map as more certain than the assumptions behind it. My supervisor pushed me to write a section on uncertainty rather than tucking caveats into footnotes, and that discipline has stayed with me. I also took modules in hydrology and environmental economics, and an option on GIS which is where I became comfortable with QGIS and, more hesitantly, with R.
Since graduating I have kept reading, though at a slower pace than I would like. The IPCC Working Group II report on impacts, adaptation and vulnerability has been the most useful thing I have worked through, particularly its framing of risk as the interaction of hazard, exposure and vulnerability rather than a property of the weather alone. That framing explains why two streets with the same rainfall have very different outcomes. I have also followed the UK Climate Change Committee's adaptation progress reports, which are blunt about how much adaptation planning stops at strategy documents. What I lack is the quantitative and regulatory grounding to move between a scenario and a decision: how climate projections are downscaled and used, how adaptation options are appraised when the benefits are decades out, and how physical and transition risk are handled in financial and public-sector reporting. A taught course with coursework in risk assessment methods, scenario analysis and adaptation appraisal is the right way for me to build that.
Outside work I share weekday care for my grandmother with my aunt, which has made me organised in a way that no module did: I plan around fixed commitments, break long tasks into evening-sized pieces, and I am realistic about what I can promise. I also manage the mailing list for a small community flood group, mostly sending out meeting notes and drainage consultation deadlines. It is unglamorous work, but I have watched residents make careful, specific arguments about water on their roads and then struggle to see how those arguments fed into anything. Communicating risk honestly, without either alarm or false reassurance, is harder than it looks.
I would like to work in adaptation and resilience planning, ideally for a local authority, housing provider or consultancy advising them. Studying part-time or with a clear timetable suits my responsibilities, and I intend to keep working alongside the course if the structure allows. The problems I see in a repairs inbox are small and specific, and I want the training to treat them as evidence rather than noise.
Why this example works — strengths and ways to improve
This is a focused, credible taught master's statement that links an ordinary administrative role to a clear academic need. Your dissertation reflection on uncertainty and data-matching is the strongest evidence. The gaps you name are well defined. The draft would benefit from slightly more concrete detail on quantitative preparation and on what you have actually done with repairs data.
Subject motivation
Individually they are maintenance tickets. Together they are a risk profile
This is a genuine, specific motivation drawn from your daily work rather than a generic concern about climate. It frames climate risk as a data and decision problem, which suits a risk management course. The opening thesis about unequal impacts is clear and is carried through the rest of the statement.
Academic preparation
I became comfortable with QGIS and, more hesitantly, with R
Your hydrology, environmental economics and GIS modules are relevant, and the honest hedge about R is credible. Because you say you need quantitative grounding, briefly state your statistics background and level of R use. Admissions readers can then judge your readiness for scenario and downscaling coursework.
Evidence and reflection
the temptation to treat a tidy map as more certain than the assumptions
This is real reflection. You name concrete data problems such as postcode misalignment and outdated building records, then draw a methodological lesson. Your supervisor's push to write about uncertainty shows critical development, and your use of the IPCC hazard-exposure-vulnerability framing connects that reading to your dissertation sensibly.
Relevant experience
I log the jobs that come in after heavy rain
The housing association role and the flood group mailing list are modest but well used, and you avoid inflating them. One gap: you say nobody can read the tickets as risk, but you do not say whether you have tried a small analysis yourself. Even a limited attempt would strengthen this section.
Credibility and voice
It is unglamorous work, but I have watched residents make careful
Your voice is measured and believable throughout. You claim no authority you lack, and you acknowledge your slower reading pace and limited skills. The caring responsibilities are presented practically, as evidence of planning, rather than as hardship, which keeps the statement focused on readiness to study.
Structure and format
I want the training to treat them as evidence rather than noise
The paragraphs move logically from motivation to dissertation, reading, gaps, wider experience and aims, and the ending returns neatly to the repairs inbox. The career aims are realistic. The part-time remark is useful context, but check that it matches the delivery mode of the specific programme you apply to.
What you’ve done well
- You turn an ordinary repairs and planning job into convincing evidence of motivation by reframing maintenance tickets as an unread risk profile.
- Your dissertation section shows genuine methodological reflection, especially on data alignment and uncertainty, rather than generic claims about research skills.
- You state precisely what you lack: downscaling, appraisal over long time horizons, and physical and transition risk reporting. This makes the case for a taught course coherent.
How this draft could improve
- Add a sentence on your quantitative and statistical preparation beyond GIS, so readers can judge your readiness for scenario analysis.
- If you have done any informal analysis of repairs or flood-group information, describe it briefly. If you have not, avoid implying more than the role involves.
- When you tailor this statement for a real application, check the programme's actual coursework and study modes rather than relying on the general description given here.