School of Computer Application

The Bachelor of Computer Applications (BCA) in Cyber Security is a 3-year undergraduate degree that offers a thorough education in information security, network defense, and cybercrime prevention. The program includes topics including cryptography, ethical hacking, digital forensics, security management, and new cyber threats. Lab sessions, industry projects, and internships provide students with hands-on experience to build practical skills in digital system security and sensitive data protection. The curriculum also trains graduates to earn industry-recognized cybersecurity certifications. Students who complete the program are offered a BCA degree, which qualifies them for a variety of professions such as cybersecurity analysts, penetration testers, security administrators, and information security professionals across a variety of businesses.

Master of Computer Applications (MCA) in Cyber Security is a 2-year postgraduate degree that teaches advanced information security, network defense, and cybercrime prevention. The program includes topics including cryptography, ethical hacking, digital forensics, security management, and new cyber threats. Lab sessions, industrial projects, and internships provide students with hands-on experience to build practical skills in digital system security, sensitive data protection, and security incident response. The curriculum also trains graduates to earn industry-recognized cybersecurity certifications. Students who successfully complete the program are offered an MCA degree, which qualifies them for a variety of professions such as cybersecurity analysts, penetration testers, security architects, and information security managers in various sectors.

BCA in Artificial Intelligence and Machine Learning is a 3-year undergraduate program designed to provide students with a strong foundation in computer science, AI, and machine learning technologies. The course covers topics such as programming languages, data structures, algorithms, data science, neural networks, natural language processing, and deep learning. Students acquire practical experience with AI tools and platforms, learning to build intelligent systems and models that can analyze data, predict outcomes, and solve real-world problems. The program combines theoretical knowledge with practical applications through projects, labs, and internships. Graduates are equipped to pursue careers in AI development, data science, software engineering, and machine learning, working in various sectors like technology, healthcare, finance, and automation.

Master of Computer Applications (MCA) in Artificial Intelligence and Machine Learning is a 2-3 year postgraduate program that equips students with advanced knowledge and skills in AI and ML. The course covers topics such as data science, machine learning algorithms, deep learning, neural networks, natural language processing, and AI ethics. Students gain expertise in designing intelligent systems, developing AI-driven applications, and applying machine learning techniques to solve real-world problems. The curriculum includes both theoretical learning and practical experience, often with project work and industry internships. Graduates can pursue careers as data scientists, AI researchers, machine learning engineers, or AI software developers in various sectors such as technology, healthcare, finance, and more.