Accounting and Statistics & Data Analytics [BSc] personal statement example

Why do you want to study this course or subject?

Last spring the manager of the garden centre where I work on Saturdays wondered aloud whether it was worth paying for an extra member of staff on wet weekends. I realised I could not answer from instinct. It was really two questions: what does an extra shift cost against the margin on what we sell, and how sure can we be that rain changes footfall at all? That pairing is why I want to study accounting alongside statistics. Accounting gives a business a disciplined record of what has happened, and statistics asks how far that record can be trusted to say what will happen next. I enjoy both halves, the tidiness of a balanced ledger and the uncertainty of a confidence interval. I am curious about how auditors choose which transactions to check, because sampling a few hundred invoices from thousands is a statistical judgement with financial consequences. Reading Tim Harford's How to Make the World Add Up made me more careful about where a number comes from before I trust it, and I want a degree that trains me to ask that rigorously.

How have your qualifications and studies helped you to prepare?

I took Higher Accounting, Mathematics, Economics and English, and this year I am studying Advanced Higher Mathematics and Statistics. Higher Accounting introduced me to double entry, cash budgets and break-even analysis, and I liked that tracing a mismatch in a trial balance feels like checking a proof, although a balanced total does not establish that every entry is correct. For my Statistics project I am investigating whether daily rainfall is associated with the number of transactions at the garden centre, using daily till counts my manager agreed to share without any customer details, alongside public rainfall records from a nearby weather station. I have had to decide how to treat bank holidays and a week when the till was faulty, and to justify a rank-based correlation because the data are skewed. Early results suggest a weaker link than staff assumed, and I am now checking whether day of the week is confounding it. Economics has given me context for how costs and demand behave, and I taught myself basic R from free online material so I could produce clearer plots than a spreadsheet allows. I would not interpret a correlation as evidence that rain itself changes demand: holidays and staffing could affect the same figures. Deciding which comparison is defensible has become more interesting to me than producing a neat coefficient.

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

In S5 I spent a week of work experience at a small accountancy practice in my town. I was a helper, nothing more: I scanned and sorted receipts into expense categories, checked spreadsheet totals against paper copies, and, with the client's permission, sat in while a partner talked a sole trader through her self-assessment. What struck me was how much depended on records being complete before any calculation began, and how often the partner asked questions rather than assuming. I have worked at the garden centre for two years, mostly on the till and restocking. Cashing up has taught me to reconcile quickly and accurately, and helping with the spring stock count showed me how easily recorded and actual stock drift apart. Outside work I play accordion in a ceilidh band with three friends at about a dozen weddings and village hall dances a year, and I keep our accounts: bookings, deposits, travel costs and how we split fees. It began as a favour, and I am proud that we have never once argued about money. I also help at a primary school homework club each week, which has made me better at explaining percentages in several different ways.