Christ University Bangalore

Ph D in Computer Science Engineering

Ph D in Computer Science Engineering

2 Years | Full Time | Post Graduation

/-


Per Year

Admission Dates

Admission 2020 Admission Start Date Admission End Date

Eligible Exams

Eligible Exam Application Process Exam Date
Admission 2019 Admission Start Date Admission End Date
Eligibility Criteria

A pass with 55% marks in Postgraduation degree in computer science from any recognized university and research proposal (Maximum 1500 words) has to be submitted along with the application.

Admission Guidelines

Admission procedure includes Entrance test and personal interview. Entrance test is a two hour written test in Research Methodology and subject specific with 50 Multiple Choice Questions each carry one mark and assessment of past performance in Degree and MPhil and the research proposal during the Personal Interview. The selected candidates must process admission at Office of Admissions, Central Block, Christ University Main Campus, of declaration of Selection results as per the stipulated d

Course Details

Doctor of Philosophy (Ph.D.) - Computer Science is being offered by Christ University and it is based on a coursework in research methodology and the particular domains publications in refered journals participation and presentation in national/international seminars a dissertation and its public defense. The minimum duration of the doctoral programme shall be two years and the maximum duration shall be four years. The Ph.D. course aims to develop a dynamic researcher which enables them to adapt according to the ever changing needs in the field of computer science in the years to come. The main objective of the program is to develop disciplined computer professionals to find out new areas for innovations and make them self-reliant. Research activity spans a broad spectrum of Computer Science and Engineering subjects, which include Algorithm Design, Artificial Intelligence, Big Data, Cloud Computing, Computer Architecture Computer Graphics, Vision & Game Sciences, Human and Machine Interaction, Machine Learning.

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Contact Information

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