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  #1  
September 3rd, 2015, 11:45 AM
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Iitd mca

I have done my BCA and planning to do MCA from IIT Delhi (IITD). Can you tell me eligibility criteria and condition to take admission in IIT Delhi for MCA degree course and also provide me complete fee structure along with placement broacher of IIT Delhi?
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  #2  
October 12th, 2019, 08:28 AM
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Re: Iitd mca

Hi, I am a MCA degree holder; can you tell me if I can apply for admissions to the Part Time PhD program in IITD (Indian Institute of Technology Delhi)?
  #3  
October 12th, 2019, 08:28 AM
Super Moderator
 
Join Date: Mar 2012
Re: Iitd mca

Yes, you can apply for admissions to the Part Time PhD program in IITD (Indian Institute of Technology Delhi).

For Part-Time:

Qualifying Degree
B.Tech./B.E./M.Sc./MCA

GATE/ NET/ entrance exam needed?
No

Shortlisting Criteria for the interview
Marks secured in qualifying examination. 2 years of experience is mandatory.


Interviews
Following the application submission, one will be shortlisted for an interview.

Shortlisting criteria for interview calls will be published on the Department web site.

The interview will test ones familiarity with basic concepts in Computer Science and Engineering and ability to analyze and formulate a solution to a problem.

Institute will test on fundamentals of computer science, including (but not limited to) programming, data structures and algorithms, computer architecture, operating systems, programming languages, computer networks, theory of computation, etc.

Institute will first have a written screening test on basic aptitude and CS fundamentals, followed by interviews for the shortlisted candidates.


Documents required at the time of interview

One is expected to bring the interview call letter, a copy of resume, qualification documents, work experience documents (if any) and other documents which one may deem relevant for putting up ones credentials.


PhD Research Areas

Algorithms and Complexity Theory
Artificial Intelligence and Machine Learning
Databases and Data Analytics
Architecture and Embedded Systems
Graphic and Vision
Computer Networks and Distributed Systems
Programming Languages, Semantics and Verification
Operating Systems, High Performance Computing and Systems
Information and Communication Technologies for Development


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