The objective of this research is to arrive at a list of top engineering colleges offering full time courses - including four-year courses in India. The research had 3 major modules i.e. Desk Research, Factual survey & Perceptual Rating survey. Post collection of data a methodical analysis was done to rate the various Engineering institutes that participated in the study and rank them accordingly.
The survey was executed during 2nd week of April to 2nd week of May 2019.
The ranking process in the current year, imbibed a holistic research module involving an objective study and a perceptual study. While the objective study is done to capture a true reflection of what exists, the perceptual study on the other hand is deemed important to comprehend how the different actors and the stakeholders perceive the institutes. Thus, these two modules in tandem help to make the ranking process more robust.
In order to get robust data the study was completed in the following phases –
The first module was secondary research. Using various sources like the internet, magazines and publications, a comprehensive list of Engineering colleges was generated. The following sources were used for the same –
- Secondary review of published information across various sources
- List of ranked institutions from previous surveys
- Inputs/ suggestions on names obtained while conducting the study
Diligent attempts were made to ensure that a comprehensive list of Engineering colleges was derived at. In order to achieve the same, we had the option of adding any new institute name in the survey form if any respondent, during the perceptual survey mentioned any institute name outside our list. Once in effect, this ensured that every Engineering institute had a chance of getting covered in the survey if their name was mentioned by the respondents.
In totality, a list of 950 Engineering institutes along with their contact details was generated. It was ensured that all colleges in the list are providing full time engineering courses.
The second module was factual data collection. This was done in order to garner the objective data on various parameters from the institutes and their views on the functioning of the institutes, their infrastructure and the facilities they provided. The following information areas were delved into –
- General Information
- Fee structure
- Selection Process
- Learning Experience
- Industry Interface - Interaction/ live projects/ corporate internship
- Potential to network/ alumni outreach
- Infrastructure and living experience
- Facilities provided
- Extracurricular activities
- Fee structure
A dedicated team under the direct supervision of a senior researcher was put on job. Their tasks entailed sending regular emails and rigorous follow ups in the form of telephonic calls for timely participation and achieving completeness of information.
The third module was a perceptual survey which was conducted amongst a selected set of respondents including HR professionals, faculty, young executives, students, aspiring students, parents of current students & parents of aspiring students through structured questionnaires. This was done to arrive at a ranking and rating of all the listed Engineering institutes as well as any others that they are aware of.
The sample selection was done using convenience sampling method. However the sample was spread out geographically to get better representation.
This sample survey of 900 was conducted across 8 cities viz Delhi-NCR, Bangalore, Hyderabad, Chennai, Bhubaneshwar, Kolkata, Mumbai and Pune.
The findings from the 3 modules were combined to get a ranking of the most prominent Engineering institutes functioning across the country. Equal weightage was given to factual and perceptual scores. The final ranking was given basis a combination of both theses scores.
The following steps were followed to reach to the same –
- Calculation of Perceptual Score
The perceptual scores were derived in stages by following the below mentioned methodology -
- Ratings on various parameters for each institute
- Calculating importance of various parameters to arrive at weights for each parameter – A regression model was used to arrive at the importance of various parameters
- Calculation of raw scores and weighted scores for each parameter
- Calculation of overall score for each institute using importance weightage
- Calculation of Factual Score
The factual scores were derived in stages by following the below mentioned methodology -
- Collecting information corresponding to similar parameters as in the perceptual survey
- Developing a detailed scoring system for each parameter
- Post assigning scores to each parameter, calculating the raw scores
- Measuring raw scores by their importance to arrive at weighted scores
The final score for an institute was weighted average of Perception Score and Factual Score - equal weightage given to both.
Post assigning ranks, a list of top 150 Engineering institutes was shared in the order of their ranking and the list of institutes who have not shared factual questionnaire, but are ranked high basis perceptual score was shared in alphabetical order.
- Best efforts were made to reach maximum Engineering institutes and their participation was called for
- A thorough review of the instruments and parameters was undertaken by Senior Researchers and the experts in their fields.
- 167 Engineering institutes participated and shared the desired information with us.
- While computing the objective scores it was ensured that data was normalized on the basis of students.
- The Engineering college that did not send complete “Fact-Sheet” within the allotted time were ranked separately based on perception scores
- The colleges which have not shared the factual questionnaire and have explicitly stated their unwillingness to participate in the ranking survey have been excluded from this survey.
- The institutes, who have shared their factual questionnaire, were asked to give self-attestation on genuinety and authentication of the information.
- The represented rankings are based on shared information. Market Xcel undertook reasonable measures to get complete and accurate information. However any lapse or concealment of information or any part thereof that would have impacted results in any way is beyond the control of Market Xcel. Hence we assume no responsibility towards the said.