School of Engineering

B.Tech. in Computer Science and Engineering with a specialization in Cyber Forensics & Information Security is a four-year undergraduate program that focuses on securing digital systems and investigating cybercrimes. The course covers core subjects such as programming, computer networks, cryptography, ethical hacking, digital forensics, cyber law, and information security management. Students acquire practical skills in identifying, analyzing, and preventing cyberattacks, as well as securing sensitive data from unauthorized access. The program also includes hands-on training in network security, malware analysis, and forensic tools, preparing students for real-world challenges in cybersecurity. Graduates are equipped to work as cybersecurity analysts, ethical hackers, forensics experts, or security consultants in government agencies, private firms, or IT security companies.

B.Tech. in Computer Science Engineering with a specialization in AI & ML is a 4-year undergraduate program designed to equip students with a strong foundation in computer science and cutting-edge technologies like Artificial Intelligence and Machine Learning. The course covers topics such as algorithms, data structures, computer networks, programming languages, data science, deep learning, neural networks, natural language processing, and AI ethics. Students gain hands-on experience through projects, internships, and lab work, focusing on the practical application of AI & ML in fields such as robotics, automation, data analytics, and predictive modeling. The program is ideal for students seeking to pursue careers in AI research, software development, data engineering, or work in emerging technologies across industries like healthcare, finance, and tech.

 B.Tech. in Computer Science and Engineering (Health Informatics) is a 4-year undergraduate program that combines computer science with healthcare technologies to address medical and health-related challenges. The course covers topics like software development, data analytics, artificial intelligence, and cybersecurity, with a focus on applications in health informatics. Students learn to design and manage healthcare systems, process medical data, and develop innovative solutions for telemedicine, electronic health records, and clinical decision support systems. The program blends theoretical learning with practical training through projects, internships, and industry collaborations. Graduates can pursue careers as health informatics specialists, data analysts, software developers, or system architects in healthcare IT, research organizations, and hospitals, contributing to digital transformation in healthcare.

B.Tech. in Computer Science and Engineering with a specialization in Network Engineering is a 4-year undergraduate program designed to equip students with knowledge and skills in computer networks, data communication, and network infrastructure. The course covers topics like network design, wireless communication, network security, protocols, and cloud computing. Students also learn about software development, programming languages, and network management tools. The program combines theoretical concepts with practical training, including labs and internships. Graduates are prepared for careers in network design, cybersecurity, IT infrastructure management, and software development, working with organizations to build and maintain efficient network systems.

 B.Tech. in Computer Science and Engineering with a specialization in Embedded Systems is a 4-year undergraduate program focused on the design, development, and application of embedded systems. The course integrates computer science with electrical engineering, covering topics such as programming, microprocessors, digital electronics, embedded system design, and real-time operating systems. Students learn how to develop embedded solutions for various industries, including automotive, healthcare, and consumer electronics. The curriculum combines theoretical knowledge with practical applications, including hands-on projects and internships. Graduates can pursue careers as embedded system engineers, software developers, and hardware designers in technology-driven companies.

B.Tech. in Computer Science and Engineering with a specialization in Robotics and Cyber-Physical Systems is a 4-year undergraduate program designed to equip students with advanced knowledge in robotics, automation, and smart systems. The course covers topics like artificial intelligence, machine learning, robotics, embedded systems, control systems, and the integration of cyber-physical systems. Students engage in practical projects, laboratory work, and internships to gain hands-on experience. Graduates are prepared to work in industries such as robotics, automation, artificial intelligence, and smart manufacturing, taking on roles in research, development, and innovation in these rapidly growing fields.

B.Tech. in Computer Science and Engineering with a specialization in AI for Agriculture is a 4-year undergraduate program that combines advanced computer science concepts with applications in agriculture. The course covers core subjects like programming, data structures, machine learning, artificial intelligence, and computer vision, while also focusing on agricultural technologies. Students learn how AI can be applied to enhance agricultural practices, such as precision farming, crop monitoring, and automated irrigation systems. The program includes practical projects, internships, and industry collaborations to ensure real-world experience. Graduates are equipped to develop AI-based solutions for agricultural challenges, contributing to increased productivity and sustainable farming. Career opportunities include roles in agri-tech companies, research organizations, and government agencies focused on agricultural innovation.

B.Tech. in Computer Science and Engineering with a specialization in AI for Business is a 4-year undergraduate program designed to equip students with a strong foundation in computer science, artificial intelligence, and business applications. The course covers a wide range of topics, including data structures, algorithms, machine learning, deep learning, data analytics, and business intelligence. Students also learn about the integration of AI in business environments, focusing on areas such as automation, decision-making, and customer experience. The curriculum combines theoretical knowledge with practical skills through projects, internships, and industry collaborations. Graduates can pursue careers as AI specialists, data scientists, business analysts, and software engineers in various industries, such as technology, finance, and healthcare, where AI solutions drive business innovation and efficiency.