Quick answer

STEM and non-STEM applicants face the same interview — funding first, family and choice behind it — but not at the same depth. A loan question appears in 19.0% of STEM interviews vs 11.9% of non-STEM ones; program questions appear in 31.7% vs 28.0%; work-experience questions in 32.4% vs 27.7%. Length is identical (about six questions either way), and some topics are exactly tied — career-and-plans questions appear in 13.9% of both. The field changes the probing, not the structure.

The two mixes, side by side

The questions in this guide are real questions asked by visa officers in F-1 interviews. Programs are grouped by field: computing, engineering, data and the sciences as STEM; business, management, humanities and professional programs as non-STEM. (Programs that fit neither list cleanly are left out of this comparison rather than forced into one.) Each topic below shows its share of all questions asked, and the share of interviews in which it appears at all.

TopicSTEM — share of questionsSTEM — interviewsNon-STEM — shareNon-STEM — interviews
Funding16.3%74.2%14.5%66.9%
Family & ties14.5%55.6%13.8%56.2%
Academics8.7%39.6%8.5%38.5%
Work & experience6.7%32.4%5.7%27.7%
University choice6.0%30.2%5.5%29.5%
Program6.1%31.7%5.1%28.0%
Career & plans2.4%13.9%2.4%13.9%
Visa history0.5%3.0%0.7%3.8%
Everything else38.9%85.0%43.8%88.1%

Where the depth actually differs

Loans: the largest single gap

The loan contrast is the widest in the comparison — 19.0% of STEM interviews include a loan question vs 11.9% of non-STEM ones, a reflection of how STEM funding is typically assembled. If your STEM funding includes a loan, the probe chain — sanction, amount, lender, collateral, interest, repayment — is not a possibility but a plan. Savings questions show the same tilt, appearing in 6.9% of STEM interviews vs 4.3%.

Program and work: probed harder for STEM

Program questions take 6.1% of STEM interviews’ questions vs 5.1%, and work-experience questions 6.7% vs 5.7%. The consulate personas in the practice engine mirror this: the technically focused interviews press on why the specific program matters and what the applicant has actually built or done. A STEM applicant should expect the follow-up “and why does that need this degree?” in some form; a non-STEM applicant meets it less often.

What does not differ

Funding opens both interviews (in about seven of ten, either way) and the father’s-occupation family of questions is near-universal: father questions appear in 27.6% of STEM interviews and 25.3% of non-STEM ones. Career-and-plans is an exact tie. And non-STEM interviews spend a larger share in the uncategorised remainder (43.8% vs 38.9%) — more of the conversation sits outside the standard topics, in course-choice justification and case-specific ground that no category captures. Neither group gets a longer interview: 6.4 questions on average for STEM, 6.3 for non-STEM.

About these numbers

The questions in this guide are real questions asked by visa officers in F-1 interviews. The figures here are counted from real interview questions: shares describe how questions were distributed across interviews, and counts are of questions asked. They are patterns to prepare against — not decision rules, and nothing here is a probability of approval or refusal.

Preparation, by field

Practise your field’s version of the interview

The practice engine adjusts its probing to your profile — technical depth for STEM profiles, the same funding core for everyone. The Mock Visa Interview practice engine is trained on all available data and real interview transcripts.

Questions about STEM and non-STEM interviews

Is the STEM interview harder?

It is deeper in specific places — loans, program relevance, work experience — and identical in others. “Harder” is the wrong frame; “differently probed” is what the counts support, and both versions are the same length.

My program is on the border (analytics, information systems, engineering management)

Borderline programs exist in both directions, which is why this comparison only counts programs that classify cleanly by field. Your preparation should follow your funding and your coursework, not the label: if your funding includes a loan and your courses are technical, prepare for the STEM pattern.

Does my field change my approval chances?

This guide publishes question patterns only. What officers ask differs measurably by field; what they decide is not a pattern this page measures or claims.

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