How we make recommendations
This page documents the specific methodology behind our content — how we choose what to cover, how we evaluate universities and countries, how we make comparisons, and what data sources we rely on. Methodology transparency lets you evaluate whether you can trust our judgments.
How we choose what to cover
We cover universities and countries based on three criteria: number of Indian students who go there annually, search volume in India for related queries, and information gap (whether existing Indian-focused content adequately covers the topic). The third criterion is the strongest — we prioritize destinations and universities that are under-covered in honest, neutral English-language content for Indian audiences.
This is why DreamUnivs gives substantial coverage to MBBS in Russia, Georgia, and Kazakhstan; the Muslim country circuit (Turkey, Malaysia, Egypt, UAE); and Tier 2 destinations like Ireland, Netherlands, and Germany — places where Indian families have real demand but where existing content is dominated by either consultancy advertising or low-quality SEO content.
How we evaluate universities
When we write about specific universities, we cover seven dimensions in standardized depth:
| Dimension | What we cover |
|---|---|
| Programs | Specific programs offered, curriculum structure, length, credit requirements, language of instruction |
| Indian admit profile | Acceptance rates for Indian applicants where data exists, profile expectations (test scores, GPA equivalents, profile signals), volume of Indian admits annually |
| Costs | Tuition, mandatory fees, estimated living costs by city, hidden costs (insurance, materials, deposits), 4-year or program-length total |
| Application strategy | Required tests, essay/SOP requirements, LOR expectations, application deadlines, decision timelines |
| Scholarships and aid | Aid available to Indian students specifically, average aid packages, application strategy |
| Indian community | Approximate Indian student population, active student associations, cultural infrastructure (food, religious, community) |
| Career outcomes | Placement rates, common employers, average post-graduation salaries, post-study work and PR pathways |
We don’t compress these into a single “score” or “ranking.” Single-number rankings are usually misleading because the right university for any individual student depends heavily on personal context (budget, field, post-graduation goals, family circumstances). We present the dimensions and let the reader evaluate which matter most for their case.
How we evaluate countries
Country master guides cover ten dimensions in standardized depth:
- Academic system overview (degree structures, accreditation, recognition in India)
- Top universities for Indian students by field
- Visa process — required documents, financial proof requirements, processing times, common rejection reasons
- Total cost of education — tuition + living + visa + insurance + flights + miscellaneous, broken down by city
- Scholarship landscape for Indian students specifically
- Post-study work permit — duration, eligibility, conversion rates to permanent positions
- Permanent residency pathway — requirements, typical timeline, success rates
- Indian community size and infrastructure (food availability, religious facilities, regional clustering)
- Quality of life — climate, safety, healthcare access, cultural fit considerations
- Honest tradeoffs — what’s harder for Indian students in this country, what to be aware of
How we make comparisons
Comparison content (e.g. “MS in CS in US vs Canada vs Germany”) follows a specific structure:
- Quick verdict at the top — which option fits which type of student, with explicit caveats
- Detailed comparison across 8-12 dimensions
- “Who should pick A” section with specific personas
- “Who should pick B” section with specific personas
- Final recommendation framing (not a single answer — the answer depends on the reader)
We do not pick winners in comparisons unless one option is genuinely superior across all dimensions for almost all readers. In nearly all education decisions, the right answer depends on the reader’s context. We say so.
How we report on costs
Cost claims are among the most often-distorted information in study-abroad content, both by upward bias (consultancy “premium destination” framing) and downward bias (agent “₹15 lakh MBBS” framing). Our cost methodology:
- We use total cost of attendance, not just tuition
- We separately list mandatory fees, optional fees, and estimated living costs by city
- We use ranges, not point estimates, where reality varies (typical: 25th to 75th percentile)
- We disclose currency assumptions and last-update dates on cost calculations
- We update cost data annually (more frequently for major policy changes)
- We include hidden costs that consultancies rarely mention — visa, flights, insurance, deposits, books, regulatory fees
How we report on FMGE pass rates and medical education abroad
This deserves its own section because the information ecosystem here is the most distorted in the entire study-abroad industry. Our standards for MBBS-abroad content:
Critical disclosure: We do not have commercial relationships with any MBBS-abroad agent. We do not accept advertising, sponsorships, or referral fees from agents. The university partnerships we operate (only direct, no intermediaries) are disclosed inline.
We use FMGE pass-rate data from the National Medical Commission of India where available, and we cross-reference against year-on-year results published in medical education journals. Where pass-rate data for a specific university or year is not available from primary sources, we say so explicitly rather than estimating.
We report total cost of MBBS abroad to Indian families — including agent fees, hidden university charges, currency volatility risk, hostel and food costs, FMGE coaching costs in India, and the multi-year living and travel costs. We compare these total figures against domestic alternatives.
How we use AI in our content production
We use AI tools — including large language models — for research compilation, drafting, and content production. We do not use AI as a substitute for human editorial judgment. Specifically:
- AI assists with structured data collection from official sources
- AI drafts content from verified datasets
- Human editors review every published article before publication
- AI is not used to fabricate data, statistics, or quotes
- AI-only content with no human editorial review is not published
AI is a publishing tool the way word processors and spell-checkers are publishing tools. It does not change our standards; it lets us meet them at higher volume.
What we’d change if we were wrong
The methodology on this page is our current best understanding of how to publish honestly about international education for Indian families. If reader feedback, new data, or shifts in the industry suggest changes, we will change them — and we will document the change with a dated update on this page.
Methodology should be alive, not frozen. If you have suggestions for how we should evaluate universities, countries, or decisions differently, write to us.