D.A. strengthened his math without overstating his research role.
He had meaningful applied economics experience, no authored publication, and less proof-based math than some programs expected. We helped him map exactly which work was his, strengthen his quantitative preparation, and choose programs that matched his foundation.
The starting point
An economic analyst at a regional development organization in Ghana, applying after three years of work
Field of study
Development economics, public finance, and evidence-based policy
An anonymized student journey, shared with initials.
AI-generated illustration, not a photograph of D.A.
Rejected by London School of Economics MSc Econometrics and Mathematical Economics.
THE MATERIAL WAS ALREADY THERE
Neither an established economist nor a beginner.
D.A. cleaned survey data, supported cost analyses, and helped prepare briefing materials for education and employment programs. He hadn’t authored his organization’s research or chosen its methods. His early statements swung between presenting him as a development economist and treating graduate school as the start of his analytical work.
HOW WE HELPED
We helped him describe the honest middle ground: a capable analyst ready for deeper training.
Survey data and cost analyses.
He cleaned survey data and supported cost analyses for development programs.
Briefings for programs.
He helped prepare briefing materials for education and employment programs.
Strong economics and statistics.
His undergraduate record was strong in economics and statistics, with less proof-based math.
THE ATTRIBUTION MAP
A map of who did what made the middle ground visible.
D.A. had contributed ideas in meetings, and some of his wording appeared in final reports. That didn’t make him an author, so he mapped who did what.
THE QUESTION
Where did his responsibility begin and end?
He separated the research question, design, data, analysis, writing, and publication.
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HIS ROLE
Data and briefings, clearly his.
His statement used one employment-program evaluation and described his data and briefing role precisely.
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THE LIMITS
What the data couldn’t support.
He described the uncertainty in the data instead of claiming a policy conclusion.
LETRADO’S ROLE
We challenged any unclear claims about authorship and helped compare curricula. He wrote all his statements and asked supervisors to confirm what could be shared.
HOW WE WORKED TOGETHER
Preparation matched his foundation to the right programs.
One more course could show effort and readiness, but it couldn’t recreate a math degree. He needed programs that fit his actual preparation and goals.
Linear algebra and a calculus review.
He completed graded linear algebra and reviewed calculus through problem sets supervised by a former lecturer.
Honest about the gap
The new work showed seriousness without pretending that a short review closed every gap.
Programs compared by intensity.
He compared math intensity, the economics core, policy application, cohort, internships, and preparation for doctoral study.
Three different routes
Oxford offered a concentrated economics degree, Harvard combined economics with implementation, and Yale offered a focused one-year route.
Funding planned from the start.
Funding applications were prepared alongside admission materials, because attending depended on a sustainable package.
Doctoral study stayed open
He kept doctoral study as a future possibility rather than a promised next step.
Harvard’s MPA/ID combined economics with putting policy into practice.
D.A. was also admitted to Oxford’s MSc in Economics for Development and Yale’s MA in International and Development Economics. He chose Harvard Kennedy School’s MPA/ID after receiving support that made attending possible.
Support that made it possible.The support he received made attending sustainable.
Economics inside policy implementation.Oxford offered the purest development-economics focus and Yale’s shorter route was financially attractive, but economics tied to implementation matched his goals best.
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