Prompt details

Tested on

Claude Opus 5.5

Length

637 words · 3 fill-ins

Example input

[Program prompt and limit]: Lakemont University, MS in Data Science (my first choice, apply in 3 weeks). Prompt: "Describe your academic and professional background, your reasons for pursuing graduate study in data science, and your career goals. Explain how the MS in Data Science at Lakemont will help you achieve them." Limit: 1,000 words.

[Your academic and research background]: - From Hyderabad, India. B.Tech in Computer Science from a state engineering college in Telangana, CGPA 8.4/10. One weak semester (6.9) in third year when my father had heart surgery and I was helping at home. - Final-year thesis: predicting rice yield for 12 districts in Telangana. Used 10 years of district-level yield data from the state agriculture department, gridded rainfall data and soil survey data. Compared linear regression, random forest, XGBoost and an LSTM. XGBoost was best: RMSE 0.41 tonnes per hectare against 0.56 for linear regression. But in the two drought years in the data, every model's error was more than double. My supervisor said a point forecast hides this. This is the question I keep coming back to: how to give farmers and planners a forecast with honest uncertainty, especially in bad years. - Work: 2 years as a data analyst at an agritech startup (KhetSense) that sells seeds and fertilizer through 40 village retail outlets. Built SQL and Power BI dashboards for the sales team. Built a weekly demand forecast for seeds per outlet in Python. Stockouts fell from 18% to 11% of outlet-weeks over one season after the team started using it. - Skills: Python (pandas, scikit-learn, XGBoost), SQL, Power BI, basic PyTorch. Courses: linear algebra, probability and statistics, DBMS. Took an online Bayesian statistics course (certificate). - Have not used satellite data yet but want to learn remote sensing, because district data is too coarse. - TOEFL 108. No publications. - Goal: work as a data scientist on forecasting for agriculture or climate risk (crop insurance, supply planning) for a few years, maybe later return to India to build tools like this for farmer cooperatives.

[Your notes on each program]: 1. Lakemont University, MS Data Science (prompt above, 1,000 words). Course-based, 2 years, with a required industry capstone. Courses I found: DS 640 Spatial Data Science, DS 615 Bayesian Methods for Data Science, DS 630 Time Series Forecasting. The capstone page lists a past project with a regional farm cooperative on irrigation scheduling. Prof. Elena Marsh: her lab page lists satellite-based crop yield estimation. Prof. Tomas Varga: uncertainty quantification for machine learning (from his faculty page). 2. Northfield State University, MS in Applied Statistics and Data Science. Limit 750 words. Prompt: "Describe your goals and your preparation for graduate study." Thesis option available. They also ask for a separate optional Personal History Statement (500 words). Dr. Hollis Grant works on spatio-temporal statistics for environmental data. There is a Center for Climate Analytics that lists research assistant positions (not sure if open now). Course: STAT 720 Spatial Statistics. 3. Carver Institute of Technology, MS Computer Science, data science track. Limit: 2 pages, no specific prompt given beyond "statement of purpose." Has a thesis track. I found a seminar called Machine Learning for Earth Systems. I have not found specific faculty yet.

Example output

1. Research and goal summary

I want to build agricultural forecasts that report honest uncertainty, especially in drought years, when a single point forecast is least reliable and most needed. My B.Tech thesis compared four models for rice yield in 12 Telangana districts. XGBoost was best overall (RMSE 0.41 t/ha against 0.56), but every model's error more than doubled in the two drought years. At KhetSense I built a weekly seed demand forecast for 40 outlets, and over one season after the team started using it, stockouts fell from 18% to 11% of outlet-weeks. After the degree I plan to work as a data scientist on forecasting for agriculture or climate risk, such as crop insurance or supply planning, and later to build similar tools for farmer cooperatives in India.

2. Program fit table

Program	Faculty or labs	Courses or resources	Why it fits my direction	Still to check
Lakemont University, MS Data Science (course-based, 2 years)	Prof. Elena Marsh (lab page: satellite-based crop yield estimation); Prof. Tomas Varga (uncertainty quantification for ML)	DS 615 Bayesian Methods for Data Science; DS 630 Time Series Forecasting; DS 640 Spatial Data Science; required industry capstone (past project: regional farm cooperative, irrigation scheduling)	Covers the three gaps from my thesis and work: uncertainty, time series, and data below the district level. The capstone has included agricultural partners.	Whether DS 640 covers raster or satellite data; which courses Marsh and Varga teach; whether MS students can attend lab meetings; how capstone partners are assigned
Northfield State University, MS Applied Statistics and Data Science (thesis option)	Dr. Hollis Grant (spatio-temporal statistics for environmental data); Center for Climate Analytics	STAT 720 Spatial Statistics; RA positions listed at the Center	My yield and rainfall data are spatio-temporal. A thesis would let me study uncertainty in drought years directly.	Whether Dr. Grant advises MS theses; how advisers are matched; whether RA positions are open now and who can apply

Claude Opus 5.5

Statement of Purpose – Statement of purpose prompt for ChatGPT and Claude

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Claude Opus 5.5

This prompt writes your statement of purpose for graduate school. Paste the first program's prompt, your background and notes on each program; you get a fit table, an outline, a full draft and tailored versions for the rest.

What you get

A three or four sentence summary of your research direction and goal
A program fit table built only from the faculty, labs and courses you found
An outline and a full draft for your first program, within its limit
A tailoring guide with the new fit paragraph written out for every other program

How to use it

1
Do the program research first
Read each program's faculty, lab and course pages and note what fits your work. The prompt uses only what you found, so better notes give a sharper fit.
2
Run it for your first choice
Put your first choice's prompt in the first fill-in and list every program in the notes, first choice first.
3
Check every name and fill the gaps
Confirm each faculty member, course and lab on the program's site, fill each [check on the program site] and read the draft aloud.

Better results

Note why each professor's work fits yours, not only their name; the fit paragraph is only as specific as your notes.
For programs that also ask for a personal history or diversity statement, send a follow-up: "Using the same background, outline that statement too."
For a page limit, paste the draft into a document in the required font and spacing before you trim it.

Questions

Can ChatGPT write a statement of purpose?

ChatGPT or Claude can draft a statement of purpose from your real background and program research, but the draft must stay true and specific. Check every faculty name and course on the program's own site, and rewrite the draft in your own words before you submit it.

What is the difference between a statement of purpose and a personal statement?

A statement of purpose explains your academic preparation, what you want to study or research and why the program fits. A personal statement tells your story and motivation. Some graduate programs ask for both, often calling the second a personal history or diversity statement.

Should I mention professors in my statement of purpose?

Yes, when their work fits yours and you say why. Name a professor, lab or course only after reading their pages, and say what you would do there. Never claim a professor is taking students unless they have told you so.

How long should a statement of purpose be?

Follow each program's own limit, set in words or pages, and stay close to it. This prompt writes the first draft at 90 to 100 percent of that limit and fits each tailored version to its own program's limit.

Updated 8 Nov 2026