GulbargaSharnbasva universityCourses & FeesMaster of Technology [M.Tech] (Computer Network Engineering)

Master of Technology [M.Tech] (Computer Network Engineering) From Sharnbasva university, Gulbarga

Gulbarga, KarnatakaState UniversityEstd 2017
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Sharnbasva university Upcoming Application Dates 2024

Important Events

EventsDates
Karnataka PGCET Registration Timeline
Tentative
Aug 07, 2024 - Sep 01, 2024
Karnataka PGCET Admit Card
Tentative
Sep 13, 2024
Karnataka PGCET Exam (ME, M.Tech & M.Arch)
Tentative
Sep 23, 2024
Karnataka PGCET Result
Tentative
Oct 22, 2024

Expired Events

EventsDates
Publication of Second Round of Seat Allotment Result (Karnataka PGCET) [ME/M.Tech]Feb 13, 2024
Provision to Modify/Delete/Re-order options if any, by eligible candidates (Karnataka PGCET Round 2) [ME/M.Tech]Feb 09, 2024 - Feb 13, 2024
Payment of Fees & Downloading of Admission Orders (Karnataka PGCET Round 2) [ME/M.Tech]Feb 14, 2024 - Feb 16, 2024

Important Events

EventsDates
Karnataka PGCET Registration Timeline
Tentative
Aug 07, 2024 - Sep 01, 2024
Karnataka PGCET Admit Card
Tentative
Sep 13, 2024
Karnataka PGCET Exam (ME, M.Tech & M.Arch)
Tentative
Sep 23, 2024
Karnataka PGCET Result
Tentative
Oct 22, 2024

Eligibility Criteria

  • For Full Time M.E. / M. Tech / M. Arch courses: A candidate who has passed prescribed qualifying examination or equivalent examination and obtained an aggregate minimum of 50% marks taken together in all the subjects in all the years is eligible for admission to M.E. / M. Tech / M. Arch courses. 45% of marks in case of SC, ST and Category-I candidates.

  • For Part Time M.E. / M. Tech / M. Arch courses: A candidate who has passed prescribed qualifying examination or equivalent examination and obtained an aggregate minimum of 50% marks taken together in all the subjects in all the years is eligible for admission to M.E. / M. Tech / M. Arch / courses. 45% of marks in case of SC, ST and Category-I candidates.

Course Details

  • Basic Understandig of Computer Networking
  • Foundational Mathematical Skills
  • Algorithmic principles
  • Analytical Solving Skills
  • Network support lessons
  • Along with this, theories applied in the modelling and design of computer-based systems are also being taught.

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