How We Ranked the T-Schools

The method­ol­ogy of the Dataquest-CMR “Best Tech School Sur­vey 2018”

Dataquest - - T- SCHOOL | IN DEPTH - Cour­tesy: CMR

BACK­GROUND Dataquest com­piled the Thir­teenth Dataquest-CMR sur­vey scorecard on the best T-Schools in the coun­try on the ba­sis of a method­ol­ogy and cal­cu­la­tions vet­ted by re­search firm CMR. RE­SEARCH OB­JEC­TIVE The aim of this sur­vey was to de­ter­mine the top Tech­nol­ogy Schools (B.E, B. Tech or sim­i­lar level grad­u­ate tech­ni­cal course) in the coun­try and rank them on a list of im­por­tant pa­ram­e­ters. RE­SEARCH METHOD­OL­OGY he Dataquest-CMR sur­vey was done in two phases. PHASE I – DESK RE­SEARCH In this phase, the CMR team did an ex­haus­tive desk re­search so as to iden­tify the list of all Tech Schools in the coun­try, who were in­vited to be a part of the sur­vey. Lists of Govt. in­sti­tutes and pri­vate in­sti­tutes were pre­pared sep­a­rately. The col­leges es­tab­lished post 2011 or not of­fer­ing a B.E, B. Tech or sim­i­lar level grad­u­ate tech­ni­cal cour­ses were re­moved from the list. PHASE II – PRI­MARY RE­SEARCH The Tech Schools short-listed in Phase 1 were ap­proached by CMR team. For the Tech Schools both email re­sponses and face-to-face in­ter­views with the col­lege rep­re­sen­ta­tive (prefer­ably the place­ment

co­or­di­na­tor) were con­sid­ered. The in­for­ma­tion col­lected was on four broad heads: place­ment, aca­demic en­vi­ron­ment, in­fra­struc­ture and in­dus­try in­ter­face. These broad pa­ram­e­ters con­sti­tuted var­i­ous sub-pa­ram­e­ters as men­tioned below.

PLACE­MENT

% of stu­dents got placed Num­ber of com­pa­nies vis­it­ing Max­i­mum Salary Av­er­age Salary – All Com­pa­nies

ACA­DEMIC EN­VI­RON­MENT

Num­ber of stu­dents in B.E/B.Tech adding all years Num­ber of spe­cial­iza­tions of­fered To­tal num­ber of stu­dents in M.Tech / M. S / M. Phil in en­gi­neer­ing To­tal num­ber of PhD. Stu­dents / Doc­tor­ates To­tal num­ber of fac­ulty % of Per­ma­nent fac­ulty Fac­ulty Qual­i­fi­ca­tion In­dex Fac­ulty Ex­pe­ri­ence In­dex Num­ber of books pub­lished Num­ber of re­search pub­li­ca­tions Num­ber of patents / copy­rights NBA Ac­cred­i­ta­tion NAAC Ac­cred­i­ta­tion

IN­FRA­STRUC­TURE

Cam­pus area in acres Num­ber of books in li­brary Num­ber of books added in last 3 years Num­ber of na­tional / in­ter­na­tional jour­nals in li­brary Num­ber of jour­nals added in last 3 years Num­ber of class­room Is the cam­pus Wi-Fi En­abled % of stu­dents ac­com­mo­dated in hos­tel Num­ber of fac­ulty cabin Num­ber of au­di­to­ri­ums Num­ber of sys­tems pro­vided

IN­DUS­TRY IN­TER­FACE

Num­ber of MoU with in­dus­try e.g. CISCO / Mi­crosoft / IBM In­cu­ba­tion cen­ter Num­ber of star­tups that orig­i­nated from the in­cu­ba­tion cen­tre Have a lab which is spon­sored by in­dus­try

THE RANK­ING

The rank­ing of the in­sti­tutes were done sep­a­rately for Govt. and Pri­vate. The weights were pre-deter­mined by CMR based on the ex­pe­ri­ence of con­duct­ing such study for last 13 years.

ANAL­Y­SIS METHOD­OL­OGY

All the ab­so­lute data col­lected un­der each mod­ule were nor­mal­ized and con­verted to rel­a­tive data to eval­u­ate the rel­a­tive dis­tance among the in­sti­tutes across dif­fer­ent pa­ram­e­ters. Af­ter nor­mal­iza­tion, the data had been mul­ti­plied with re­spec­tive weights of each pa­ram­e­ter and then the to­tal ob­jec­tive score was cal­cu­lated for each mod­ule. The whole data was then ar­ranged in de­scend­ing or­der in Govt. and Pri­vate cat­e­gory. And fi­nally we got the top in­sti­tutes across In­dia in both Govt. and Pri­vate cat­e­gory.

VAL­I­DA­TION PROCESS

CMR re­search team did all the data val­i­da­tion ex­er­cise. We had asked for few doc­u­ments from the in­sti­tutes like list of com­pa­nies vis­ited in the cam­pus, num­ber of stu­dents re­cruited by each one of them and the salary of­fered to the stu­dents, place­ment brochure, in­sti­tute prospec­tus, com­pa­nies for whom con­sult­ing / in­dus­trial as­sign­ment has been done, name of jour­nal where re­search pa­per has been pub­lished and of­fi­cial copy of se­mes­ter re­sults. Apart from these we had also val­i­dated the data from se­condary sources like In­sti­tute’s web­site.

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