Overview
Artificial Intelligence & Data Science combine computational techniques and analytical methods to model, analyze, and derive insights from data while enabling intelligent decision-making systems. Rooted in mathematics, statistics, and computer science, this discipline emphasizes machine learning, deep learning, natural language processing, and data visualization to solve complex real-world problems. It involves creating predictive models, optimizing algorithms, and designing systems that learn and adapt, ensuring efficiency and scalability. AI & Data Science professionals bridge the gap between raw data and actionable insights, enabling businesses, research, and society to make informed decisions, automate processes, and enhance innovation in diverse fields.
Department Vision
To nurture an outcome-based and innovative ecosystem that shapes globally competent, ethical, skilled, and visionary professionals in AI and Data Science to serve society, drive innovation, and advance technology.
Department Mission
- Mission 1: Deliver Industry-Focused and Interdisciplinary Education
Provide practical, outcome-driven learning that blends AI, Data Science, and multidisciplinary knowledge to solve real-world challenges.
- Mission 2: Deliver Industry-Focused and Interdisciplinary Education
Promote a culture of research, creativity, and entrepreneurship to build impactful AI and data-driven solutions.
- Mission 3: Nurture Ethical and Global Professionals
Imbibe ethical values, social responsibility, and cultural awareness to prepare professionals for a diverse, global AI platforms.
- Mission 4: Support Lifelong Learning and Holistic Development
Encourage lifelong learning, leadership, teamwork, and communication for sustained holistic and professional growth.
