MSc Electronic & Telecommunication Engineering

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Engineering

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Level: Masters Degree

Duration : 2years

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Entry Requirement

Applicants satisfying ONE of the following requirements are eligible for admission: a. Degree of Bachelor of Science in Engineering of four-year duration of General Sir John Kotelawala Defense University (KDU) in a relevant field, OR b. Degree of Bachelor of Science (Defense Studies) in a relevant field with a minimum of three years of appropriate experience as an Engineer as approved by the Dean, Faculty of Engineering, KDU, OR c. A Bachelor of Science Degree (SLQF 6) in a relevant field from a recognized University; OR d. Associate Membership or above of Institution of Engineers Sri Lanka (IESL) AND a minimum of one year of appropriate experience after obtaining such membership as approved by the Dean, Faculty of Engineering, KDU, OR e. Associate Membership or above of a professional Engineering Institute recognized by Institution of Engineers Sri Lanka (IESL) AND a minimum of one year of appropriate experience after obtaining such membership as approved by the Dean, Faculty of Engineering, KDU. f. Any other Engineering Degree (SLQF 5) from a recognized university AND a minimum of one year of appropriate experience in relevant field after obtaining such a degree, as may be approved by the Senate. g. A Higher Diploma (SLQF 4) in a relevant field with a minimum of three years of appropriate experience in a relevant field after obtaining such a higher diploma, as may be approved by the Senate.

Course Content

  • Statistical & Numerical Methods
  • Research Methodology I
  • Project Management
  • Communication Technology
  • Modern Wireless Networks
  • VLSI Design and Nanotechnology
  • Advanced Digital System Design
  • Artificial Intelligence Techniques
  • Communication Networks and Stochastic Simulation
  • Microwave, Optical & Radar Engineering
  • Operation Research
  • Research Methodology II
  • Power Electronic Designs
  • Network Management & Planning
  • Information Security and Cryptography
  • Medical Electronic and Biomedical Instrumentation
  • Deep Learning

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