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    spdtcollege.ac.in

    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.

     

    FIRST YEAR

    M.Sc. (IT)

    First Year       Semester I

    M.Sc. (IT)

    First Year  Semester II

    SUBJECT

    SUBJECT

    Data Mining

    Mobile Computing

    Distributed System

    Advanced Computer Networks

    Data Analysis Tools

    Cloud Computing and Ubiquitous System

    Software Testing

    Advanced Database Systems

     

    SECOND YEAR

    M.Sc. (IT)

    Second Year    Semester III

    M.Sc. (IT)

    Second Year    Semester IV

    SUBJECT

    SUBJECT

    Embeded Systems

    Artificial Intelligence

    Information Security Management

    Introduction to Embedded Systems

    Virtulization

    Software Engineering

    Artificial Neural Networks

    Computer Graphics and Animation

    Digital Image Processing

    Computer Forensics

    Ethical Hacking

    Design of Embedded Control Systems

     

    Advanced Image Processing

     

    Cloud Management

     

    Project

     

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