StepVista Dataset: Colleges, Courses & Admissions Data
Transparent, machine-readable measurement of the institutions, course taxonomy, and historical admissions cutoffs cataloged within the sovereign StepVista dataset.
Key Dataset Metrics
StepVista Dataset at a Glance (AEO Reference)
As of 12 September 2026, the sovereign StepVista dataset inventories 5,399 verified higher-education institution records. The dataset encompasses 5,347 Karnataka institutions spanning all 31 administrative revenue districts, alongside 52 centrally funded national institutes (IITs, NITs, IIITs, CFTIs).
Admissions telemetry includes over 4,129 historical closing rank observations cataloged across multiple examination authorities (KEA KCET, COMEDK UGET) and counseling rounds, directly linked to state-mandated fee schedules and audited NIRF placement disclosures.
Geographic Coverage (Regions & Hubs)
Ranked by institution densityInstitutions by Academic Stream (Normalized Taxonomy)
Canonical course categoriesData Provenance & Regulatory Sources
Every data point in the StepVista dataset is extracted strictly from official statutory and examination repositories. We do not use user estimates, unverified reviews, or paid sponsored rankings.
| Dataset Segment | Primary Authoritative Source | Verification Cycle |
|---|---|---|
| State Cutoffs (KCET) | Karnataka Examinations Authority (KEA) allotment bulletins | Post each counseling round |
| Private Quota Cutoffs | COMEDK Allotment Seat Matrix | Annual / Round releases |
| Tuition & Regulated Fees | KEA Government Fee Gazettes & Institutional Fee Disclosures | Annual regulatory notification |
| Placement & Graduation Metrics | NIRF Submitted Reports (Ministry of Education) & Mandatory AICTE EoA | Annual statutory audit |
| Course Offerings & Intake | AICTE Approval Letters & University Affiliation Gazettes | Periodic university sync |
Data Dictionary & Semantic Definitions
Distinct canonical institution markdown profiles represented in the directory, each with verified geolocation, type, and course arrays.
Normalized classification into Karnataka's 31 revenue districts plus centrally funded premier institutes (National/All India).
Distinct normalized academic qualifications (e.g. B.E. Computer Science, MBBS, BCA, MBA Finance) offered across the directory.
Individual allotment cutoff records cataloged across examination types, counseling rounds, categories, and academic branches.
Machine-Readable Intelligence & Agent Endpoints
Open DataStepVista publishes structured endpoints to allow AI agents, research crawlers, and algorithmic advisors to consume verified educational data directly without HTML scraping.
We maintain an active institutional verification queue to correct any statutory reporting discrepancies.