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        The Computer Science department offers four-year B.Tech programme which was started in the year 2015. Currently, there are three batches (First year, Second year and Third year). The subjects that are taught are highly related to the current research trends and industrial needs. The faculty members are holding Ph.D. degrees from eminent institutes with vast teaching and research experience.


Currently, students are working on many mini & major projects which have a social impact as well industrial significance under the supervision of the institute faculties. Department of Computer Science is also providing internship facility to the internal as well as external candidates. The healthy interaction between students and faculty members helps the students to flourish and apply their technical knowledge in real-life applications. The faculties also support students continuously for improvement in their studies through e-learning, study materials, research journal papers, and reference books. Students are also encouraged by faculty members to participate at national and international level competitions and also they are encouraged to take up entrepreneurship by providing them necessary technical and entrepreneurship skills.

      The Department has state-of-the-art infrastructure and computing equipment supported by high-speed Ethernet and wireless networks. Various student organizations like IEEE student Chapter, CSI Chapter, Linux and Open Source Community are active throughout the year. The faculty members are working in various research domains as follows: Computer Network, Information Centric Networks, Cryptography & Network Security. Machine Learning, Data Mining, Pattern Recognition, and Recommended Systems, Fuzzy Systems, Neural Networks, Pattern Recognition, Artificial Intelligence, Hybrid & Cellular Automata design & Formal Verification, Brain Computer Interface, Bipedal walk, Humanoid Robotics, Optimization Technique for Nature inspired computing problem, Analysis of various NP Complete problem in graph theory, Soft Computing & pattern classification, Component based Software Engineering, Social Network Analysis using Hybrid Intelligence and Soft Computing Application of Computer Science in Medical Science, Data Analytics and Software Engineering.