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    MSC (IT)

    Syllabus for Approval

    1)Title of course  => M.sc(Information Technology)

    2) Eligibility for admission => Admissions will be on merit (percentage of aggregate marks/grade secured at the qualifying examination). Reservation criteria shall be followed as prescribed by the Government at the time of admissions.

    A learner for being eligible to apply for admission for a M.Sc.(Information Technology) must have Passed standard twelfth (after the 10+2 schooling) or equivalent examination with minimum 50% marks for students belonging to the general category and 45% marks for students belonging to the Reserved category .

    A learner for being eligible to apply for admission to the M.Sc. Information Technology) must have Passed:-

    The B.Sc. degree examination of this University or Degree of any other University recognized as equivalent thereto with Minimum 46 credits or its equivalent(i.e, the minimum credits for optional courses) of the subject which he wants to offer for the M.Sc. degree course by papers.

    3) No.of Years/Semesters => 2 Years /4 Semesters.

    4) To be Implemented from Academic Year =>2018-2019.

    Part -1  MSc(IT)

    Sr. No:

    Semester I

    Credits

    Semester II

    Credits

    1

    Research in computing

    4

    Big Data Analytics

    4

         2

    Data Science

    4

    Modern Networking

    4

         3

    Cloud Computing

    4

    Micro services Architecture

    4

         4

    Soft Computing Technique

    4

    Image Processing

    4

         5

    Research in computing Practical

    2

    Big Data Analytics Practical

    2

         6

    Data Science Practical

    2

    Modern Networking Practical

    2

        7

    Cloud Computing Practical

    2

    Micro services Architecture Practical

    2

         8

    Soft Computing Technique Practical

    2

    Image Processing Practical

    2

     

    Total Credits in the semester

    24

    Total Credits in the semester

    24

    Part -II  MSc(IT)

    Sr. No:

    Semester III

    Credits

    Semester IV

    Credits

    1

    Technical Writing and Entrepreneurship Development

    4

    Block chain

    4

         2

    Applied Artificial Intelligence

    4

    Natural Language Processing

    4

         3

    Machine Learning

    4

    Deep Learning

    4

         4

    Robotic Process Automation

    4

    Human Computer Interaction

    4

         5

    Project Documentation and Viva

    2

    Block Chain Practical

    2

         6

    Applied Artificial Intelligence Practical

    2

     Natural Language Processing Practical

    2

        7

     Machine Learning Practical

    2

    Deep Learning Practical

    2

         8

    Robotic Process Automation Practical

    2

     Project Implementation and Viva

    2

     

    Total Credits in the semester

    24

    Total Credits in the semester

    24

     

     

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