Grade Details
Course Overview
The Artificial Intelligence and Data Science programme integrates machine learning, analytics, and data-driven decision-making with a Design Thinking methodology. Students develop the ability to design intelligent systems, analyze complex datasets, and implement AI solutions for practical challenges in modern industries.
What You Will Learn
Students study machine learning, deep learning, predictive analytics, natural language processing, computer vision, and big data technologies, developing advanced skills to create innovative AI-driven solutions.
Subjects Offered
Core subjects include Artificial Intelligence, Machine Learning, Data Mining, Big Data Analytics, Deep Learning, Natural Language Processing, and Computer Vision, providing a strong foundation in intelligent computing and analytics.
Teaching Methodologies
Learning is project-based, including AI model development projects, industry-focused training, and collaborative problem-solving activities, ensuring practical exposure and innovation-driven skill development.
Curriculum Highlights
Key highlights include data science laboratories, advanced analytics projects, research-oriented learning initiatives, and internship opportunities with industry partners to apply theoretical knowledge to real-world scenarios.
Co-Curricular Activities
Students engage in AI workshops, hackathons, data science competitions, research paper presentations, and AI/innovation clubs to enhance creativity, technical proficiency, and industry readiness.
Career Opportunities
Graduates may work as Data Scientists, Machine Learning Engineers, AI Engineers, Business Intelligence Analysts, or NLP Engineers in IT, research, and analytics sectors.







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