BTech in Electronics and Computer Engineering brings out the best of electronics and computer science engineering to meet the current industry demand. As Industry 5.0 focuses on intelligent machines with human-centric solutions, this course has an effective balance of hardware and software technologies to prepare an individual to face the industry's advancements. This cross-discipline course gives students an added advantage of becoming multi-skilled professionals.

The knowledge gained from this course can help an individual excel in Analog/Digital Electronics, Signal Processing, VLSI, IoT and utilize the concepts of Algorithms, Machine Learning in an application-oriented manner. This course emphasizes the concepts of data structures, data analytics, operating and database systems, and machine learning in line with the topics of embedded systems, digital system design, signal processing, and VLSI. The broad spectrum of electives will enable the students to enrich their knowledge in the area of their choice.

The perfect blend of theory and lab sessions will enhance the students' skill set and prepare them for work and research. Department also gives equal importance to extra-curricular and co-curricular activities for the overall development of the student by conducting seminars, workshops and conferences. The strong mentorship of the faculty will help students to actively participate in research projects and open doors for master programs at ease.


Career Opportunities

• Graduates can choose from industries like automation, software solutions, & consulting to product development, aerospace, automotive electronics, medical electronics, research, etc.

• Graduates may pursue their Masters in varied fields but not limited to VLSI, Nano Technology, Embedded Systems, Signal Processing, Operating Systems, Machine Learning, Communication Networks, Artificial intelligence, Data Analytics, etc.

• Some of the major companies where the students can get placed but not limited to are Cisco, Oracle, Toshiba, Schneider Electric, Intel, Deloitte, MU Sigma, Cybage, Saankhya Labs, Microsoft, Unisys Global, Philips, IBM, S&P Capital IQ, Ericsson Global, TATA ELXSI, Samsung R&D, Freescale, L&T IES, Philips Electronics, etc.

Key Dates & Deadlines


Apr 22 24

Apr ' 24

Last date to Apply


Tentative Course Commencement Date


4 Years (8 semesters).