School of Computer Application

Bachelor of Computer Applications (BCA) in Data Analytics is a 3-year undergraduate program that provides a comprehensive education in data collection, processing, analysis, and visualization. The curriculum covers topics such as programming, database management, statistical modeling, machine learning, and business intelligence. Students gain hands-on experience through projects, case studies, and industry internships to develop practical skills in extracting insights from complex data sets and supporting data-driven decision-making. The program also prepares graduates for industry-recognized certifications in data analytics. Upon successful completion, students are awarded a BCA degree that equips them for diverse roles as data analysts, business intelligence specialists, data engineers, and decision support professionals across various industries.

 Master of Computer Applications (MCA) in Data Analytics is a 2-year postgraduate program that provides advanced training in data collection, processing, analysis, and visualization. The curriculum covers topics such as statistical modeling, machine learning, big data technologies, business intelligence, and data-driven decision-making. Students gain hands-on experience through projects, case studies, and industry internships to develop practical skills in extracting insights from complex data sets and supporting data-driven strategies across various industries. The program also prepares graduates for industry-recognized certifications in data analytics. Upon successful completion, students are awarded an MCA degree that equips them for diverse roles as data scientists, business intelligence analysts, data engineers, and decision support professionals in high-demand sectors like finance, healthcare, e-commerce, and smart manufacturing.

MCA in Machine Learning is a 2-3 year postgraduate program designed for students interested in the intersection of computer science and artificial intelligence. The course focuses on advanced topics such as machine learning algorithms, data mining, deep learning, natural language processing, neural networks, and pattern recognition. Students gain expertise in coding, data analysis, and the development of intelligent systems through a combination of theoretical knowledge and practical hands-on experience. The program also covers subjects like statistics, mathematics for machine learning, and big data technologies. Students are encouraged to work on projects and internships, enabling them to apply machine-learning techniques in real-world scenarios. Graduates can pursue careers in data science, AI development, research, software engineering, and other technology-driven industries.