Jamia Millia Islamia launches  new self-financed programs for B.Tech, M.Tech; Admission based on JEE Mains

Today, Jamia Millia Islamia has launched a series of self-financed programs leading to B.Tech and M.Tech. Admission to all B.Tech programs will be based on the final ranking of the candidates in JEE Main.

The new courses include B.Tech in Electrical and Computer Engineering, B.Tech in Electronics (VLSI Design and Technology), B.Tech in Computer Science and Engineering (Data Science) and M.Tech in Data Science. The B.Tech program requires an annual fee of Rs 1.50 Lakh, while the M.Tech program has a fee of Rs 54,000.

Application forms are available on the official website of Jamia Millia Islamia, jmicoe.in.

For the courses for which the examination will be conducted by JEE, online admission forms will be made available by the concerned agencies 10 days after the declaration of results.

Programme details:

The main objective of B.Tech Electrical and Computer Engineering is to prepare qualified engineers who can improve the security and strength of computing systems primarily in communication networks, and cyber-physical systems like smart grids, autonomous mobile systems, industrial control systems, etc. Can increase the efficacy of.

Similarly, B.Tech in Electronics (VLSI Design and Technology) has been designed and developed to train students in this strategic area and prepare them to take up the challenge of designing and manufacturing new nanoelectronics devices and chips on Indian soil. Has gone. The curriculum will be based on the requirements of the IC and chip design industries and will be at par with reputed institutes in India and abroad.

B.Tech Computer Science and Engineering (Data Sciences) will provide students with a comprehensive curriculum covering key topics such as programming languages, algorithms, database systems, data mining, statistical analysis and machine learning.

MTech Data Sciences is a postgraduate program focused on advanced study in Data Sciences, which combines elements of Computer Science, Statistics and domain-specific knowledge to extract insights and knowledge from data.

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