Your MPH Quantitative Experience Statement

Your MPH Quantitative Experience Statement

An MPH quantitative experience statement should explain what you have done with data, which work was yours and what evidence supports that account. Follow your program's exact format: a separate supplement, an application question and an evidence attachment have different jobs.

Start with the evidence, then write the explanation. A motivation story cannot substitute for demonstrating preparation, and naming software cannot substitute for describing how you used it. Our MPH personal statement guide covers the main essay; this page addresses the additional quantitative task.

The useful question is not whether your background sounds mathematical enough. It is whether a reader can identify an actual task, understand your contribution and locate support for the claim.

First establish what you are submitting

The following public instructions were checked September 16, 2026. They illustrate different application shapes, not a universal MPH requirement.

Read the Michigan application instructions, Yale application FAQ and UC Davis admissions page alongside the current application. An old applicant's word limit is not a reliable substitute.

Before drafting, save the exact question, its limit, the upload location and any requested supporting material. If two pages disagree, ask the program which applies to your selected department and entry term. Do not resolve the conflict by submitting both versions and hoping the reader chooses.

This also prevents a common allocation problem: using the quantitative statement to repeat the main essay while leaving the actual evidence unexplained. Reusing a project is reasonable. Repeating its motivational significance does not answer a different question.

Build an evidence inventory before choosing a story

Use this worksheet for each potentially relevant experience. It is a planning tool, not an application template.

Prefer one experience you can explain precisely over several impressive labels. A modest task with clear ownership gives the reader something to evaluate. A list of tools and course names requires the reader to invent the connection.

Keep an inventory even when the final statement is very short. The table helps you identify the strongest evidence; it does not mean every cell deserves a sentence. Select according to the prompt, the available space and the part of your preparation that otherwise remains invisible.

If the same roles appear elsewhere, reconcile them with your SOPHAS experience entries and resume. Dates, responsibilities and project status should agree even when the emphasis changes.

Coursework can supply an example without becoming work experience

Constructed example: Maya studied sociology and has no quantitative job title. In a course assignment, she worked with a provided survey dataset, checked missing responses and prepared descriptive comparisons. Her instructor supplied the dataset and the analysis question.

A weak explanation would say:

My sociology degree gave me excellent statistical skills, and I am confident I can handle rigorous public-health research.

The problem is not sociology. The claim is broader than the evidence supplied. It offers confidence without giving the reader a task to inspect.

A more useful account would explain that Maya checked whether unanswered questions were being treated as zeroes, documented the correction and compared the summaries before and after it. She could identify the assessed course project as supporting evidence and acknowledge that the exercise used supplied data.

That account makes several distinctions visible: she handled a specific data-quality issue; the work was an academic exercise; and she is not claiming to have designed or validated an original study. She can then identify what she still needs to learn, if the prompt invites that discussion.

Do not turn coursework into professional employment to strengthen the appearance of the file. Also separate demonstrating quantitative preparation from meeting a formal course prerequisite. A project may illustrate useful skills while leaving a required course outstanding. Only the receiving program can decide equivalency.

For statistics embedded within a broader course, assemble the actual course title, relevant syllabus section and assessed work before asking how to document it. A transcript title that omits the word “statistics” creates a documentation question, not proof that the learning did or did not count.

Professional evidence needs boundaries too

Constructed example: Daniel coordinates attendance at a community program. He maintains the spreadsheet and produces monthly summaries; another team member performs more advanced analyses.

His strongest statement would not claim that he independently evaluated the program's effectiveness. Attendance records alone, and his role in handling them, do not establish that conclusion.

Instead, he could describe checking duplicate records, separating first visits from repeat visits, documenting inconsistent entries and preparing a summary for a staff meeting. He should explain which decisions he made and which he escalated. If the team later changed its scheduling, he can distinguish his contribution to the discussion from ownership of the final decision.

The transferable lesson is that the statement should make the work understandable without inflating its scope. “I prepared the cleaned attendance summary used in the meeting” is a different claim from “I proved the intervention worked.” Choose the one your evidence supports.

Do not include confidential records to make the account feel more convincing. Describe the task without identifying participants, and use only evidence you are authorized to share. Yale's published verification instructions include alternatives to reproducing full projects; consult the actual instructions rather than attaching raw data.

Decide what a gap requires before trying to explain it away

A gap can mean three different things:

1. The experience exists but is difficult to see. Clarify a course title, individual contribution or work responsibility.
2. The evidence is limited. Describe what you can substantiate and ask the program what preparation it recommends.
3. A formal requirement is missing. Confirm the course, grade and completion deadline with the program; prose cannot confer missing credit.

The distinction matters when considering tests. Harvard Chan's current application requirements make the MPH test policy optional with guidance, including advice for applicants whose files do not clearly demonstrate quantitative preparation. Michigan's admissions page says it does not review GRE scores. Taking a test is therefore not one remedy you can apply across every target.

Similarly, MPH work-experience eligibility is a separate check. A strong quantitative project does not automatically satisfy a program's required years of employment. Conversely, a long work history does not by itself explain quantitative readiness.

Ask a precise question when seeking clarification: identify the target program, the requirement, your existing evidence and what remains uncertain. An admissions office can respond more usefully to that than to “Am I competitive?”

Make each sentence carry evidence

Read the draft once for verbs. Can a stranger distinguish what you checked, calculated, compared, documented or communicated? Then read for ownership: does “we” conceal the part you actually performed?

Finally, trace each major claim back to your inventory. Remove claims supported only by enthusiasm. If a limitation changes how the experience should be understood, keep it; a brief qualification can make the account more accurate without turning the statement into an apology.

Use help according to the program's current rules. Michigan's official application instructions require applicants to confirm that essays are their own work, “not created by others or generated by artificial intelligence (GenAI)”. They also acknowledge “legitimate use of GenAI tools for providing advice and suggestions”. That named policy is not blanket permission for every school or every use of a tool.

For the rest of your application, the SOPHAS guide covers platform mechanics, and the graduate application collection gathers related document decisions. Once you turn to your main MPH personal statement, the GradPilot MPH statement rubric and graduate statement review provide the relevant review route. That review does not grade this quantitative supplement, verify your skills or determine prerequisite eligibility.