IIT Madras - Indian Institute of Technology Adyar Chennai Answered Questions

IITM - Indraprastha Institute of Technology and Management has below criteria for taking admissions to it's various courses: CoursesEligibilityBBACandidate must have passed class 10+2 from the recognized board/council.B.E. / B.TechCandidate must have passed 10+2 from any recognized board/council,BCACandidate must have passed 10+2 from a recognized board.

IITM - Indraprastha Institute of Technology and Management has placed its selected students in known and reputed companies such as Deloitte And Touche Assurancr Enterprise Risk And Services India Pvt Ltd, Terminal Contacts, Teerthanker Mahaveer University, Linpack Technologies Pvt Ltd, Green Ripples Pvt Ltd, Irrigation And Water Resources Department Haryana, Sbr & Company (Charted Accountant), Kenneth Counsultancy Sarvices, Dimple Advisory Pvt Ltd, Edvizo, Samsung R And D Institute India Noida, Astamed Healthcare, Thermax Engineering Construction Company Ltd., Modi Hitech India Ltd New Delhi, 3D Logic, Heg Mandideep, Christopher Matriculation Higher Secondary School, Lear Automotive India Pvt Ltd, Kenyt Technologies, Sau Shantidevi Polytechnic College Chalisgaon.

IITM - Indraprastha Institute of Technology and Management has been rated 4.1 on Infrastructure parameter.
Institute has a well supported campus with facilities such as A/C ClassroomsAuditorium, Cafeteria, Hospital / Medical Facilities, Labs, Library, Sports Complex, Wi-Fi Campus. IITM - Indraprastha Institute of Technology and Management has also been rated 4 for Campuslife.

IITM - Indraprastha Institute of Technology and Management is a reputed institute for BBA, B.Tech, BCA. Students can opt these programs to pursue their career in Business & Management Studies, Engineering, IT & Software. Institute has trained & experienced faculty who deliver these programs. IITM - Indraprastha Institute of Technology and Management has a review rating of 4.1 on the basis of reviews by students. In addition to this, it has been rated 4 on campuslife, 4.2 on placements, 4.3 on faculty and 4.1 on Infrastructure.

No, IIT Madras BTech admission is only based on candidates' performance in JEE Maine exam, followed by the counselling round. JEE Main is also an eligibility test for JEE Advanced, which is conducted for admission to IITs. Candidates who have qualified for JEE Main are only eligible to appear for JEE Advanced entrance test for admission to IIT Madras BTech courses. To seek admission to the BTech programme offered at IIT Madras, candidates need to visit the official website of the National Testing Agency (NTA) and fill out the application form in online mode for JEE Main. 

No, the examination conducting authority of IIT JAM 2024will not send the JAM 2024 scorecards by post to any candidate. The candidates are requested to download the scorecard online from the official website of IIT JAM 2024. Candidates must take multiple copies of printout and preserve those till the admission process is complete. It is one of the most crucial documents required for the counselling or the admission process. In case candidates lose the soft copy, they can download the JAM scorecard from the IIT JAM 2024 website archive section or the DigiLocker or Sandes portal of the Government of India.

IITM - Indraprastha Institute of Technology and Management offers Degree courses including 5 UG course. These programs are offerred in Full Time mode. Seats intake availability for these courses at IITM - Indraprastha Institute of Technology and Management goes up to 60.

Yes, the Indian Institute of Technology Madras offers a two-year full-time M.Tech course at the postgraduate level. The institute offers 30 MTech specialisations for BE/ BTech graduates across 12 departments. IIT Madras MTech admission will be conducted via the GATE 2025 exam. Candidates seeking admission must register for GATE to get admission to IIT Madras.

The 8 foundation level courses in the online Diploma in Data Science programme offered by IIT Madras are:Introduction to Data ScienceProgramming with PythonData Structures and AlgorithmsProbability and StatisticsMachine LearningDeep LearningNatural Language ProcessingData Visualization