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The four-year B.Tech. programme in Electronics and Communication Engineering (ECE) is designed to produce high-quality graduates equipped to address real-world challenges in the field. The programme prepares students with the knowledge and skills necessary for careers in research, innovation, and industry, emphasizing entrepreneurship, knowledge creation, and engineering excellence. The B.Tech. (ECE) curriculum is flexible and well-rounded, offering a strong foundation in circuits and communication systems alongside hands-on technical skills. It gradually advances to specialized courses in areas such as VLSI, embedded systems, and wireless communication. These advanced courses are carefully structured to align with current industry needs and practices. From the fifth semester onward, students can choose from a range of elective courses under the Choice Based Credit System (CBCS), in accordance with AICTE and other regulatory bodies. Each student is required to complete at least eight branch-specific electives, including four project- or reading-based courses under the supervision of ECE faculty. In the eighth semester, students may opt to complete a thesis or undertake an internship with a reputed organization, providing valuable practical or research experience. The students will be taught and supervised by the faculty members with PhD from highly reputed universities and involved in R&D in niche areas of ECE.
 
Students interested in the core of ECE domain are encouraged to specialize in one of the following listed domains by earning an additional 20 credits in that specific domain. Students completing ECE specialization (non-minor) with CGPA above or equal to 3.5/4.0 will be graduating with a B.Tech. (Honours) in ECE.
 
Specializations:
 
   1. VLSI (VLSI Systems)
   2. NC (Networking and Communication)
 
Alternatively, the students can earn a minor in a non-ECE area by successfully completing an additional 20 credits in the area chosen. The minor could be in one of the following listed areas:
 
   1. AIML (Artificial Intelligence & Machine Learning).
   2. TCS (Theoretical Computer Science).
   3. SY (Software Systems). 
   4. DT (Digital Society).
 
Note: The above lists of areas are subject to change and get refined from time to time.