School of Engineering

B.Tech. in CSE (Cyber Security) is a 4-year undergraduate program that combines computer science and engineering with a concentration on cybersecurity. The curriculum includes core computer science ideas, programming languages, and network security, as well as more advanced topics such as cryptography, ethical hacking, and digital forensics.This course taught us about how to secure computer systems, networks, and data against cyber attacks. The program also offers hands-on training, projects, and internships to prepare students for careers in cybersecurity, information security, and related sectors.

Bachelor of Technology (B.Tech.) in Software Engineering is a 4-year undergraduate degree program that enables students to design, create, and maintain sophisticated software systems. The curriculum usually includes programming languages, data structures, algorithms, software design patterns, database administration, web development, and software testing. Students also learn about project management, software architecture, and upcoming technologies such as artificial intelligence and cloud computing. To give students hands-on experience, the program frequently incorporates practical projects, internships, and a final-year capstone project. Graduates are equipped with jobs as software developers, systems analysts, and project managers, as well as advanced studies in computer science and software engineering.

The M.Tech. in Computer Science & Engineering is a 2-year postgraduate degree that provides advanced specialization in artificial intelligence, machine learning, computer networks, cybersecurity, and software engineering. The program encompasses cutting-edge topics like as deep learning, cloud computing, the Internet of Things, and data mining. Through hands-on projects, industrial internships, and research, students acquire expertise in designing and implementing innovative computing solutions to complicated real-world issues. Graduates of this degree have the opportunity to work as software architects, data scientists, cybersecurity professionals, and research engineers in the fast-changing field of computer science and information technology.

B.Tech. in Computer Science & Engineering with Specialization in AI and DS is a 4-year undergraduate program that combines core computer science principles with cutting-edge artificial intelligence and data science techniques. This comprehensive curriculum covers fundamental topics like programming, algorithms, and software engineering while delving deep into machine learning, neural networks, big data analytics, and statistical modeling. Students acquire hands-on experience through projects, internships, and industry collaborations, preparing them for careers in AI research, data science, and software development. The program emphasizes problem-solving skills, ethical considerations in AI, and the practical application of advanced technologies, equipping graduates to tackle complex challenges in fields such as healthcare, finance, robotics, and autonomous systems.

B.Tech. in Biotechnology is a 4-year undergraduate program that combines biology, technology, and engineering principles. Students delve into subjects like genetics, biochemistry, microbiology, and bioprocess engineering. The curriculum often includes laboratory work, research projects, and industry internships. This degree equips graduates with skills in genetic engineering, bioinformatics, and biomedical technologies. Career opportunities span pharmaceutical companies, research institutions, and biotechnology firms. Graduates can work in areas such as drug development, environmental conservation, and food technology. The program also provides a foundation for further studies in biotechnology, bioengineering, or related fields. With the rapid advancements in biotechnology, this degree offers exciting prospects in innovation and scientific research.

B.Tech. in Machine Learning is a 4-year undergraduate program that teaches students fundamental computer science principles as well as specialized abilities in machine learning algorithms, data analysis, and artificial intelligence (AI). The curriculum usually incorporates programming, data structures, mathematics, and fundamental machine learning concepts like supervised and unsupervised learning, neural networks, and deep learning. Labs, projects, and internships provide students with practical knowledge as they prepare for careers in data science, AI development, robotics, and other fields. Graduates are well-prepared to work in industries such as banking, healthcare, and technology, or to pursue additional studies in AI and machine learning.

 

B.Tech in Computer Science and Engineering with specialization in Internet of Things and Blockchain (CSE-IOTBC) is a comprehensive 4-year undergraduate program designed to equip students with a solid foundation in computer science, coupled with cutting-edge technologies in IoT and blockchain. The course covers core subjects such as data structures, algorithms, computer networks, and programming, alongside specialized modules on IoT architecture, sensor networks, blockchain technology, smart systems, and data security. Students gain hands-on experience through projects, workshops, and internships, preparing them for roles in the rapidly evolving fields of IoT, blockchain, and software development. The program is ideal for individuals seeking careers in smart technologies, digital transformation, and innovative solutions across various industries.

 M.Tech. in Data Science is a 2-year postgraduate program designed to equip students with advanced knowledge and skills in data analytics, machine learning, and big data technologies. This course covers various aspects such as data mining, statistical analysis, data visualization, and artificial intelligence, preparing students for roles in industries like IT, finance, healthcare, and e-commerce. The curriculum includes a blend of theoretical knowledge and practical experience, with hands-on training on industry tools and techniques. Students also work on real-time projects and case studies to develop problem-solving abilities. Upon completion, graduates can pursue career opportunities as data scientists, analysts, engineers, or researchers, contributing to data-driven decision-making processes in organizations.