IEEE academic projects are getting immense recognition among final year graduates. Since many years, our organization is becoming one of the ultimate targets for Final Year IEEE Academic MSc Projects attracting students from many locations like Bangalore, Mysore, Belgaum, Hubli, Dharwad, Mangalore, Tumkur, Hassan, Shimoga, Gulbarga. We target to provide quality projects in electroniCSE, computer science and engineering, Information science, information technology and other streams of engineering, particularly for M Sc graduates. We have expertise to provide hands-on experience through real-time projects in different project domains like IEEE On Image Processing, BiometriCSE, RFID, Fabrication, Bluetooth, Near-Field Communication, and more.
M Sc graduates pursuing Computer Science, Information Technology, and also other related streams are increasingly showing interest towards IEEE academic projects. As a part of their curriculum, final year M Sc students with their basic theoretical as well as laboratory knowledge come to us and by the end of their training with us they get proportionately great hands-on experience on projects. For the past decade of time, we have been successfully rendering Final Year IEEE Academic M Sc Projects. We strategically divide all the students into discrete teams and simulate the whole project to resemble as a corporate environment. By doing this, we can make the students to cultivate the habit of team culture. Previously, we provide real-time project training on domains like Java, J2EE, Network Security, Web Development, Embedded and other domains.
Our team managers and leads continuously updating to be on par with the industry and they impart the skills to our enrolees. With our commitment and mission, we strive to suite the requirements of the graduates who are coming to us. Live project training with us is one of the best target organizations among M Sc graduates to pursue IEEE projects while they are in their final year. We design the Final Year IEEE Academic MSc Projects in such a way that all the students should understand the domain and they should get complete hands-on experience to feel confident when they land in a job.
|Sl. No||Project Code||Project Name||Domain|
|1||FYIEEEDN2356||Efficient Filtering Algorithms for Location-Aware Publish/Subscribe||Data Mining, April 2015|
|2||FYIEEEDN2076||Efficient Filtering Algorithms for Location-Aware Publish/Subscribe||Data Mining, April 2016|
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