School of Engineering

B.Tech. in Computer Science and Engineering is a 4-year undergraduate degree that provides students with a solid foundation in computer science principles and engineering methods. The course content includes programming languages, algorithms, data structures, software engineering, database management, computer networks, and artificial intelligence. Students receive practical experience through projects and internships. This degree prepares graduates for professions in software development, system analysis, cybersecurity, and other technical industries, as well as advanced computing studies.

B.Tech. in Electronics and Communication Engineering is a 4-year undergraduate degree that teaches electronics, telecommunications, and information technology principles. Students study circuit design, signal processing, wireless communications, and embedded systems. The curriculum includes both theoretical principles and practical applications, equipping graduates for positions in telecommunications, the semiconductor sector, and IoT. This adaptable degree provides students with abilities in both hardware and software development, making them important assets in today's fast changing technological scene.

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.

B.Tech. in Computer Science and Engineering (CSE) with a Specialization in Artificial Intelligence is an undergraduate degree program that combines regular computer science study with an emphasis on AI technology. This 4-year course provides students with a solid foundation in programming, data structures, algorithms, and software engineering, as well as deep dives into AI-specific topics including machine learning, deep learning, natural language processing, computer vision, and robotics. Program will help to learn how to use AI approaches to create intelligent systems, evaluate complex data, and solve real-world problems. Hands-on projects, internships, and research opportunities are frequently included in the curriculum to provide students with actual experience using AI ideas. 

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.

Bachelor of Technology (B.Tech.) in Data Science is a 4-year undergraduate program that equips students with skills in data analysis, machine learning, artificial intelligence, and big data management. This course combines technical and analytical training, including programming languages like Python and R, statistical methods, and data visualization techniques to prepare graduates for the growing demand in data-driven industries. Throughout the program, students learn to process, analyze, and interpret complex data sets, turning raw data into actionable insights. Graduates find career opportunities as data scientists, data engineers, and business analysts across various sectors, including technology, finance, and healthcare.