Advanced expertise for the engineers of tomorrow.
Our B.Tech in Computer Science and Engineering program is designed for students passionate about technology, programming, and innovation. As the tech industry rapidly evolves, this program combines theoretical insights with hands-on experience to meet industry demands. The curriculum establishes a strong foundation in computer science, covering subjects such as programming, data structures, operating systems, networking, and database management. Students also explore areas like artificial intelligence, cloud computing, cybersecurity, and machine learning, equipping them with the knowledge required for real-world computing challenges. With a focus on experiential learning, the program integrates industry projects, coding competitions, software development training, and internships to ensure students can apply concepts in practical settings. Graduates are well-prepared for careers in software development, IT consulting, AI research, and cloud computing. In addition to technical expertise, the program fosters problem-solving, analytical thinking, and teamwork skills. Guided by experienced faculty and industry professionals, students gain the knowledge and confidence to thrive in the fast-paced technology sector.
CApplicants must have a Bachelor's degree (B.Tech./B.E.) in Computer Science and Engineering or a related discipline from a recognized university with a minimum required percentage as per university norms.
Engineering graduates will possess strong fundamental concepts in Computer Science, Engineering, and Technology to evaluate complex engineering challenges.
Acquire latest knowledge and programming skills in Computer Science & Engineering to analyze and develop solutions in networking and software domains.
Develop a positive attitude towards research, internships, and higher studies in Computer Science & Engineering.
Commit to professional ethics, social responsibility, and lifelong learning through community engagement and technical practices.
Demonstrate strong communication, teamwork, and leadership skills to become responsible and trusted professionals.
Use mathematical methodologies to solve problems using suitable mathematical analysis, data structures, and appropriate algorithms.
Interpret fundamental concepts and methodologies of computer systems, including understanding hardware and software functionalities.
Understand software development lifecycle and methodologies, with strong skills in software design, programming concepts, and innovation in research.
Apply the knowledge of mathematics, science, engineering fundamentals, and specialization to solve complex engineering problems.
Identify, formulate, research literature, and analyze complex engineering problems using first principles of mathematics and engineering sciences.
Design solutions for complex problems considering public health, safety, and environmental and societal factors.
Use research-based knowledge and methods including experiments, data analysis, and interpretation to derive valid conclusions.
Apply modern engineering and IT tools, including modelling and prediction, with understanding of limitations.
Apply reasoning to assess societal, legal, cultural, health, and safety responsibilities in engineering practice.
Understand the impact of engineering solutions in environmental and societal contexts and promote sustainable development.
Apply ethical principles and commit to professional responsibilities and norms of engineering practice.
Function effectively as an individual and as a member or leader in diverse and multidisciplinary teams.
Communicate effectively through reports, presentations, and documentation with engineering community and society.
Apply engineering and management principles to manage projects effectively in multidisciplinary environments.
Recognize the need for and engage in independent, lifelong learning in the context of technological advancements.