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The Bachelor of Computer Applications (BCA) programme with specialization in Artificial Intelligence and Machine Learning, offered in association with IBM, is designed to provide students with comprehensive knowledge in modern computing technologies and AI-driven applications. This programme equips students with practical skills in machine learning algorithms, deep learning frameworks, and AI methodologies essential for the rapidly evolving technology landscape. The curriculum integrates theoretical foundations with hands-on experience through industry-focused projects and IBM's cutting-edge tools and technologies. Students will develop expertise in data analysis, predictive modeling, natural language processing, and computer vision applications. By the end of this programme, graduates will be well-prepared for careers in AI development, machine learning engineering, and data science roles across diverse industries including healthcare, finance, e-commerce, and technology sectors.
Minimum 50% marks in Class XII (Science Stream) with Mathematics/Computer Science/Information Technology/Informatics Practices as a subject.
Students with a CUET / SAT (DI Code - 71057 ) score will be given preference in the merit list.
01
The graduates of BCA in Artificial Intelligence and Machine Learning shall be equipped with comprehensive knowledge in AI technologies and machine learning frameworks, enabling them to develop intelligent applications across diverse industry domains.
02
The graduates shall demonstrate the ability to apply theoretical concepts through hands-on project work with IBM's tools and technologies, preparing them for professional roles in AI development, machine learning engineering, and data science.
03
The graduates shall pursue advanced education, research, and innovation in artificial intelligence, contributing to technological advancement and societal challenges through their expertise in machine learning and AI applications.
The students shall have the ability to design, develop, and implement machine learning models and AI solutions using industry-standard tools, frameworks, and programming languages in real-world applications.
The students shall demonstrate proficiency in data preprocessing, feature engineering, model evaluation, and deployment of machine learning systems, coupled with understanding of ethical considerations in AI development.