About Avance Insights Pvt Ltd (Avance Insights)

Avance is a new age strategic research and consulting firm founded by Industry experts from diverse academic and Industry background. Avance leverages advanced technologies to provide actionable insights to power client’s businesses in real-time.
The company has a 360-degree approach which includes qualitative and quantitative parameters to derive all the knowledge which is needed for effective business decision-making. Avance revels in delivering insights that brings clarity to the decision-making process.
Avance strongly believes in building value and relationships with clients and its associates to create a workplace where everyone is respected and honoured for their contribution.
Avance has PAN INDIA Network and covered entire part of country successfully.


Market Research, Social & Development Research, Consulting
  • Brand Studies – Track, Perception, Health Monitor, Brand Equity Index
  • Communication Testing- Advertisement Evaluation, Campaign Efficacy- Pre & Post
  • Monitoring and Evaluation Surveys
  • New Product Development and Evaluation, Concept Development and Testing
  • Shopper Insights, U & A, Understanding buying Behaviour, Consumer Profiling Study
  • Mystery Shopping & Retail Census
  • Psychographic & Segmentation Studies
  • Opinion Polls
  • Ranking Surveys and Many more…

Avance Insights is a corporate member of MRSI and follows the MRSI code of conduct while conducting all its research projects. For more information about the company please visit

www.avanceinsights.in and contact us on manoj@avanceinsights.in

RESEARCH METHODOLOGY

The primary objective of this research was to identify and rank the top engineering colleges in India. The ranking was determined through a multi-phase methodology comprising three key modules: Desk Research, Perceptual Survey, and Factual Survey (Participatory Survey).


Research Modules

1. Desk Research (Secondary Analysis)

This module involved a comprehensive review of publicly available information to compile an extensive list of engineering colleges. Sources included:
  • Previous survey data and rankings
  • Industry expert recommendations for additions or exclusions to ensure comprehensive coverage
  • Online databases, magazines, and other academic and industry publications Recognizing that a fully exhaustive list may not be feasible, the methodology incorporated an open-ended survey option allowing respondents to nominate colleges not initially included. This ensured inclusivity and fairness in representation.

2. Perceptual Survey (Opinion-Based Ratings)

A structured questionnaire was administered to selected respondents including HR professionals, faculty, alumni, current students, and aspiring students to arrive a ranking and rating of engineering colleges.
The sample selection followed convenience, referral, and snowball sampling methods, with a broad geographic distribution to enhance representation. More than 1500 responses were collected across key cities.
Key Parameters Assessed in Perceptual Ratings:
  • Infrastructure
  • Faculty quality
  • Course curriculum
  • Industry interaction
  • Pedagogy
  • Research orientation & focus
  • Global exposure
  • Placement opportunities
  • Overall brand value

3. Factual Survey (Institutional Data Collection)

In this phase, factual data questionnaires were sent to over 1,500 engineering colleges, with rigorous follow-ups conducted via telephone, email, and in-person visits where required. The data focused on quantifiable aspects such as:
  • General institutional details (establishment year, affiliation, type)
  • Courses offered & seat availability
  • Infrastructure and facilities
  • Faculty qualifications and expertise
  • Intellectual capital and research output
  • Industry collaborations
  • Placement statistics
  • Networking potential
  • Global exposure through exchange programs
  • Research initiatives
  • Alumni engagement

Ranking Process and Analysis

A multi-step approach was employed to arrive at the final rankings:

1. Factual Score Computation

  • Data points were aligned with perceptual survey parameters.
  • A detailed scoring system was developed for each criterion.
  • Raw scores were weighted based on their importance to generate final weighted scores.

2. Perceptual Score Computation

  • Colleges were rated across key parameters by respondents.
  • A regression model was used to determine weightages for each parameter.
  • Raw and weighted scores were calculated.
  • Final composite scores were generated for each college.

Final Ranking Criteria

  • Only colleges that participated in the Factual Survey were included in the full rankings.
  • Top 30 colleges that scored highly in the Perceptual Survey but did not submit factual data were listed separately in alphabetical order.

SOME CAVEATS

  • Only those colleges who participated in the Factual Survey were ranked.
  • Institutions classified as government-funded or receiving grants were categorized under Government Institutes.
  • If the ranking gap between institutions was found to be marginal, they were awarded the same rank.
  • Colleges with fewer than five graduating batches were featured under the Emerging Engineering Colleges category.

Note: Note: Present survey has been conducted by an independent Research Agency named Avance Insights Pvt Ltd, a full-service market research agency providing Research and Support Services to companies ranging from boutique research agencies to large consulting firms.

 
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