School of Computer Application

Bachelor of Science in Artificial Intelligence and Machine Learning is a 3-4 year undergraduate degree that provides a solid foundation in AI technology, machine learning methods, and data science concepts. The course blends theoretical knowledge with hands-on experience in topics like as neural networks, deep learning, natural language processing, and computer vision. Students also learn basic programming skills, AI mathematics, and data analytics, with projects and internships to help them comprehend things practically. Graduates are equipped for professions in technology, research, and developing AI domains, as well as advanced studies such as a Master's degree in AI, Data Science, or a related topic.

Bachelor of Science in Cyber Security is a 3 year undergraduate degree that teaches students how to secure digital information and systems against cyber threats. The curriculum includes topics such as network security, ethical hacking, cryptography, digital forensics, malware analysis, and cyber law. Students learn about risk management, security protocols, and how to deal with data breaches. The curriculum blends theoretical study with hands-on experience to prepare students for careers in information security, network management, and cybersecurity consultancy. Admission often requires a science or math background, as well as an interest in technology and cybersecurity.
 

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.

B.Sc. (Hons.) in Cloud Computing is a 3-year undergraduate program designed to equip students with the knowledge and skills necessary to excel in the rapidly evolving field of cloud technology. The course covers key areas such as cloud architecture, cloud security, virtualization, data management, and cloud infrastructure. Students learn to design, implement, and manage cloud-based applications, as well as handle the complexities of cloud services, storage, and computing models. The program emphasizes hands-on experience through practical labs, projects, and internships, allowing students to develop technical expertise in popular cloud platforms like AWS, Microsoft Azure, and Google Cloud. Graduates can pursue careers as cloud engineers, system architects, data analysts, or work in cloud services and IT infrastructure management in various industries.

B.Sc. in Computational Statistics and Data Analytics is typically a 3-year undergraduate program that blends statistical theory, data analysis techniques, and computational methods. The course focuses on data manipulation, statistical modeling, machine learning, and programming using languages such as Python, R, and SQL. Students also explore topics like data visualization, big data analytics, probability theory, and algorithms. The curriculum is designed to equip students with the skills necessary for analyzing large datasets and solving complex problems in various industries like finance, healthcare, technology, and research. Graduates can pursue careers as data analysts, statisticians, or data scientists.

BCA in Mobile App & Web Technologies is a 3-year undergraduate program designed to equip students with skills in mobile application development, web technologies, and software engineering. The curriculum covers topics such as programming languages (Java, Kotlin, Swift, HTML, CSS, JavaScript), mobile app development frameworks (Android, iOS), web development, database management, and cloud computing. Students also learn about UI/UX design, digital marketing, and the principles of agile development. The course combines theoretical learning with hands-on projects, allowing students to develop real-world applications. Graduates of this program can pursue careers as mobile app developers, web developers, or UI/UX designers in technology firms, startups, or freelance roles. The program prepares students for the rapidly evolving tech industry with a focus on practical, in-demand skills.

MCA in Mobile App & Web Technologies is a specialized postgraduate program typically completed in 2 - 3 years. It focuses on developing expertise in mobile application development, web technologies, and related fields. Students learn programming languages like Java, Python, and Swift, and explore web development frameworks, UI/UX design, cloud computing, and mobile app deployment. The curriculum is designed to provide a deep understanding of both mobile and web technologies, preparing students for careers in developing apps and websites for various platforms. Additionally, the course emphasizes problem-solving, critical thinking, and project management. Graduates can pursue roles such as mobile app developers, web developers, UI/UX designers, or full-stack developers in the tech industry, contributing to innovative digital solutions.

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.

 Master of Computer Applications (MCA) in Business Analytics is a postgraduate program designed to blend advanced computing skills with data-driven decision-making expertise. The course spanning 2 years (divided into 4 semesters), focuses on key areas such as data analysis, predictive modeling, business intelligence, and machine learning. Students learn to leverage cutting-edge tools like Python, R, and Tableau to solve real-world business problems. The curriculum also emphasizes database management, statistical methods, and big data technologies, preparing graduates for careers in fields like data science, business analysis, and IT consulting. Ideal for tech-savvy individuals with an analytical mindset, the program offers opportunities to work on live projects and industry internships, ensuring a seamless transition into professional roles.