Nagarjuna College of Engineering and Technology

{Source: B.E. / B.Tech students & alumni}Structure of the Course Curriculum* Practical approach: The course curriculum is structured in a practical and fun way, making studying enjoyable and relevant to real-world applications.* Industry standards: Courses are aligned with industry standards, ensuring that students gain skills and knowledge that are in demand by employers.* Guest lectures and workshops: Industry professionals participate in guest lectures and workshops, providing hands-on training and exposure to the latest technologies.* Relevant curriculum: The course curriculum is relevant and up-to-date, covering topics such as Artificial Intelligence (AI), Robotics, and Data Science.* Autonomous institution: As an autonomous institution, the college has greater control over its curriculum, allowing for flexibility and adaptability to changing industry needs.* Regular updates: Teachers update the curriculum regularly, incorporating new technologies and trends to ensure students stay ahead of the curve.Note: These points summarize the feedback from various students and alumni regarding the structure of the course curriculum at Nagarjuna College of Engineering and Technology. While individual experiences may vary, these key themes emerged consistently across multiple reviews.

Accordingly to the statistics of 2023, the percentage of selection from CSE AI department is quite high and is growing up in an increasing rate. 65 % of students are placed and the numbers can get higher this year with the ongoing demand for this job. The highest salary offered is around 16L per annum which is quite impressive and the average salary being 5.50 L per annum. You can get a good package by being regular in classes with no backlogs and good exam scores. The top recruiters are well known, such as Amazon, Accenture, Bosch Ltd., Coca Cola, Cognizant, Microsoft, Infosys, IBM, Tata Consultancy etc. On further pursuing in this department, the package might increase significantly, looking at the demand for this job in the market.

Getting into B.Tech at NCET irrespective of the departments is solely through marks scored and rank acquired from giving the entrance exams of KCET or COMEDK UGCET.However, the cut-off differs according to the departments, in CSE AI and Machine Learning the cutoff mark in COMEDK UGCET is 75,910 in the year 2023. That means, your rank must be under 75,910 in order to get selected in the CSE AI department through COMEDK. Through KCET, the cutoff mark in 2023 is 52,627, which means you have to get a rank under 52,627 in KCET. The selection criteria is simple, the candidates are selected on the rank basis, the less your rank the more chances of you being selected.