School of Computer Application

A Bachelor of Science (B.Sc.) in Information Technology is normally a 3-4 year undergraduate curriculum that provides students with fundamental knowledge of computer systems, software development, networking, and data management. The curriculum includes programming languages, database administration, cybersecurity, and IT project management. Practical laboratories and projects provide students with hands-on experience that prepares them for employment in software development, network administration, IT consulting, and systems analysis. This degree offers a solid foundation for a variety of IT positions in today's technology-driven companies.

Bachelor of Computer Applications (BCA) is a 3 year undergraduate degree program in computer science and applications. It provides students with the necessary abilities in programming, software development, database management, and computer networks. C++, Java, web technologies, and data structures are common areas covered in the curriculum. BCA graduates are equipped for careers in information technology, software development, and system analysis, as well as advanced courses such as MCA. This program is suitable for students who are passionate about technology and want to work in the fast evolving IT business.

BCA in Data Science & Artificial Intelligence with IBM is a comprehensive undergraduate program designed to equip students with the skills required to excel in the fields of data science, machine learning, and AI. The course focuses on key topics such as data analytics, programming languages (Python, R), big data technologies, AI algorithms, deep learning, and data visualization. It integrates hands-on learning through projects and real-world applications, with collaboration from IBM to provide access to industry tools and technologies. The course duration typically spans 3 years, divided into six semesters, offering a blend of theoretical knowledge and practical experience. Graduates are well-prepared for roles in data science, AI development, and machine learning across various industries.