B.Tech- AI & DS

About us

B.Tech-Artificial Intelligence and Data Science

The Department of Artificial Intelligence & Data Science (AI & DS) was established in the Academic Year 2023-24 with an intake of 60 students. This specialised department is designed to meet the evolving needs of the technology industry by providing a solid academic foundation in artificial intelligence, data science, machine learning, and data analytics. AI & DS is a dynamic and interdisciplinary field that brings together principles from computer science, statistics, and mathematics, enabling students to build intelligent systems and derive insights from complex data.

The curriculum emphasises hands-on learning, real-world problem solving, and project-based activities that prepare students to develop data-driven solutions, advanced machine learning models, and visualisation tools. With a blend of theory, practical labs, industry-relevant courses, and experiential learning, students are equipped to thrive in diverse roles across sectors such as technology, finance, healthcare, retail, and research.

The department is supported by well-qualified faculty with expertise in AI, machine learning, data science, and related areas. It fosters a culture of innovation, collaboration, and continuous learning, encouraging students to engage in seminars, workshops, internships, hackathons, and research projects that enhance their technical competence and professional growth
Intake:60

Vision & Mission

VISION

• Evolve as a premier centre of excellence in Artificial Intelligence and Data Science education, research, and innovation, empowering graduates to lead with cutting-edge technical competence, ethical values, and societal impacts

MISSION

• M1: Provide high‑quality education in Artificial Intelligence & Data Science through innovative and engaging teaching‑learning methods, leveraging state‑of‑the‑art infrastructure, cutting‑edge tools, and well‑equipped laboratories.

  M2: Develop competent professionals in AI & DS by instilling employability, leadership, and communication skills, while emphasizing social responsibility, ethical values, and the ability to solve complex real‑world problems.

  M3: Create a holistic and collaborative learning environment that fosters scientific thinking, nurtures ethical values, and strengthens teamwork to empower students to meet the challenges of the AI & DS domain.

  M4: Conduct impactful research in AI, Data Science, and Machine Learning to address technological and engineering challenges, contributing to the advancement of both industry and society.

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Programme Outcomes

PO-1:Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO-2.Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO-3: Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO-4: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO-5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO-6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO-7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO-8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO-9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO-10: Communication: Communicate effectively on complex engineering activities with the engineering Community and with society at large, such as, being able to comprehend and write effective reports and design documentation,make effective presentations, and give and receive clear instructions.

PO-11: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one�s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO-12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Programme Educational Objectives

The B.Tech in Artificial Intelligence & Data Science (AI & DS) programme aims to prepare graduates who, after a few years of graduation, will be able to:

PEO1: Technical Excellence
Apply foundational knowledge of AI, Data Science, and engineering to develop innovative solutions for real‑world problems, demonstrating competency in modern technologies and tools.
Aligned with M1, M3

PEO2: Research and Problem Solving
Pursue advanced research and contribute to technological innovations in AI and Data Science, equipped with critical thinking and problem‑solving skills to address both industry and societal needs.
Aligned with M4

PEO3: Ethical Leadership and Professional Growth
Exhibit leadership skills, ethical values, and a commitment to lifelong learning, demonstrating effective communication, teamwork, and professionalism in the rapidly evolving field of AI & DS.
Aligned with M2, M3

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