Universities & admissions Questions

It is worth it mainly for high-yield STEM majors and top-tier MBAs, where starting salaries of over a hundred thousand dollars comfortably cover a large monthly loan EMI, while humanities and lower-tier programs with much smaller salaries can turn the same loan into a genuinely negative return over time.

It remains viable only as a high-risk, high-reward bet: choose a STEM-designated program, keep the loan under your expected first-year salary, and know that under half of international graduates land full-time jobs quickly against a strict 90-day OPT unemployment window before your visa status becomes invalid without a job.

Yes, choose computer science over a standalone data science masters. AI tools now automate basic dashboards, SQL and cleaning, the exact work data science trains you for, while computer science builds coding and systems skills behind AI Engineer and MLOps roles.

Yes, but only for a specific profile: entry-level generalist software roles are oversaturated, while specialised domains like AI infrastructure and cloud systems still pay strong mid-to-senior salaries with total tech employment projected to keep growing, so prior experience and specialisation now matter more than the degree alone by itself.

Physically and socially it remains safe with strong Indian communities on most campuses, but financially it is high risk now: sponsorship-offering job postings have fallen sharply, total costs run Rs. 60 lakh to Rs. 1.8 crore, and your outcome depends heavily on the university tier you choose to attend.

Yes, strongly consider it. Your US citizenship eliminates F-1 visa limits, employer sponsorship needs and H-1B lottery risk, and makes you eligible for FAFSA federal aid. Real challenges remain around out of state tuition, holistic admissions, and adjusting to independent daily living.

Yes, a US business analytics master's remains worth it, especially from top-tier programs where employment within six months runs 90 to 97 percent and starting salaries reach well over a hundred thousand dollars, but mid-tier programs and fresh graduates without prior work experience face a much tougher, saturated market now.

There is no universal answer: an Indian job avoids $80,000 to $150,000 in debt and compounds wealth risk-free, while a top MFE like Baruch, Princeton or CMU can break even within two to three years if you land a strong quant role and win the H-1B lottery.