Department of Artificial Intelligence & Data Science

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Department of Artificial Intelligence & Data Science (AI & DS)

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    Started
    2023-24
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    Intake
    60
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    DTE Choice Code
    654526310

Dr. Samina Y. Mulla

Head of Department

Welcome to the Department of Artificial Intelligence and Data Science.

In today’s fast-evolving digital landscape, Artificial Intelligence (AI) and Data Science have emerged as transformative forces reshaping industries, economies, and societies. AI & DS department is committed to equipping students with the knowledge, skills, and ethical grounding needed to excel in these dynamic fields.

Our curriculum is a blend of foundational theory and hands-on experience, designed to foster critical thinking, problem-solving, and innovation. With a strong emphasis on interdisciplinary learning, research, and industry collaboration, we prepare our students to tackle complex challenges and drive technological advancements.

Our faculty comprises skilled educators dedicated to mentoring students and advancing the frontiers of AI and Data Science. Through workshops, projects, internships, and partnerships with leading tech companies, we ensure that our students gain practical insights and stay ahead in the rapidly changing technological landscape.

As the Head of the Department, I take great pride in the achievements of our students and faculty, whose contributions continue to make a significant impact in academia, industry, and society. We are excited to nurture the next generation of data scientists, AI specialists, and innovators who will lead the way in shaping a smarter, more connected world.

We invite you to explore our programs, research initiatives, and events, and join us in this exciting journey of discovery and innovation.

Vision :

To emerge as a center of excellence in Artificial Intelligence and Data Science, by developing skilled and competent professionals committed to serve the needs of the industry and society.

Mission :

The department is committed to imbibe and empower its faculty and aspiring engineers with:

  • M1: To offer quality education in AI and Data Science through a well-designed curriculum, hands-on learning, and industry exposure.
  • M2: To build professional competencies by promoting interdisciplinary learning, adaptability to emerging technologies, and industry collaboration in a supportive academic environment.
  • M3: To install ethical values, environmental consciousness, and a strong sense of social responsibility among the students through value-based education.