School of Engineering

A thorough foundation in computer systems, software development, and information technology is offered by the 4-year undergraduate Bachelor of Engineering (B.E.) in Computer Science and Engineering curriculum. Data structures, algorithms, operating systems, database administration, and computer networks are among the fundamental topics covered in this demanding course. Additionally, students study more complex subjects including cloud computing, machine learning, and artificial intelligence. In order to build practical skills, the curriculum frequently integrates industry internships, laboratory work, and hands-on programming projects. Graduates are prepared for jobs in data science, cybersecurity, system architecture, and software development. With the option to further specialize through postgraduate coursework or professional certifications, they can work as software engineers, full-stack developers, or IT consultants.

The innovative 4-year undergraduate Bachelor of Engineering (B.E.) in Artificial Intelligence & Machine Learning curriculum focuses on quickly developing fields of AI and ML. In addition to covering basic computer science concepts, this extensive course covers more specialized areas including computer vision, deep learning, neural networks, and natural language processing. To obtain real-world experience, students work on practical projects, create algorithms, handle real-world datasets. Courses on ethics in data science, robotics, artificial intelligence are frequently included in curriculum. Graduates are ready for jobs in software development, data analytics, machine learning engineering, and artificial intelligence research. With plenty of opportunity for additional specialization through postgraduate courses or industry certifications, they can pursue positions with tech giants, startups, or research organizations.

B.E. in Data Science is a 4-year undergraduate program designed to equip students with the skills needed to analyze and interpret complex data sets. The course covers foundational topics such as statistics, machine learning, data mining, data visualization, programming languages (Python, R), and big data technologies. Students also learn about artificial intelligence, cloud computing, and database management systems. The curriculum combines theoretical knowledge with practical experience, including hands-on projects, internships, and research. This interdisciplinary program prepares students for careers in various industries such as finance, healthcare, marketing, and technology, where data-driven decision-making is crucial. Graduates can work as data scientists, analysts, machine learning engineers, or pursue further studies in advanced data analytics or related fields.

Bachelor of Engineering (B.E.) in Environmental Engineering is a comprehensive undergraduate program that focuses on the application of engineering principles to environmental issues. The course duration typically spans 4 years and equips students with the knowledge and skills required to design, develop, and implement solutions for environmental challenges. Students learn about water and wastewater treatment, air pollution control, environmental impact assessments, waste management, and sustainable development. The program also emphasizes the importance of renewable energy sources and the reduction of environmental footprints. Graduates can pursue careers in government agencies, environmental consulting firms, and industries focusing on sustainability. This degree prepares students to tackle pressing environmental concerns, such as climate change, resource depletion, and pollution control, while fostering innovation in green technologies.

Bachelor of Engineering (B.E.) in Robotics is a comprehensive undergraduate program that focuses on the design, development, and operation of robots and automated systems. Spanning typically 4 years, this course combines principles from mechanical engineering, electrical engineering, computer science, and artificial intelligence. Students gain hands-on experience in areas like robotics design, programming, control systems, machine learning, and sensor integration. The curriculum also includes projects, internships, and practical labs to enhance problem-solving skills. Graduates can pursue careers in industries such as manufacturing, healthcare, automotive, aerospace, and research. This program prepares students to become proficient in the development of innovative robotics systems for various real-world applications.