About the Department
The Department of Artificial Intelligence & Data Science (AI&DS), a beacon of innovation and excellence since its inception in 2020. Accredited by the All India Council for Technical Education (AICTE), AI&DS four-year undergraduate program is meticulously designed to catapult you into the forefront of AI and Data Science. At SEC, the department of AI&DS is powered by SUPER COMPUTERS equipped with the WORLD’S MOST POWERFUL Nvidia H100 DGX Tensor Core Processors: Computer Vision, NLP: Natural Language Processing. It is a powerhouse of knowledge, equipped with state-of-the-art facilities and a curriculum that blends theory with practical, hands-on experience. Our faculty are not just educators; they are mentors and industry veterans committed to nurturing the next generation of AI & Data Science leaders. With air-conditioned, smart classrooms and laboratories outfitted with high-end systems and smartboards, we offer an unparalleled learning environment. Our labs are not just spaces; they are innovation hubs where you can experiment, learn, and grow.
Key Features
- Accredited Program: Our four-year undergraduate program is recognized by the All India Council for Technical Education (AICTE).
- Expert Faculty: Our team of faculty comprises experienced professionals and academicians with deep industry and research experience.
- State-of-the-Art Infrastructure: Two fully equipped labs Powered by SUPER COMPUTERS equipped with the WORLDS MOST POWERFUL Nvidia DGX H100 Tensor Core Processors: Computer Vision, NLP: Natural Language Processing systems.
- Hands-On Learning: Emphasis on practical, hands-on experience alongside theoretical knowledge.
- Activity-Based Learning (ABL): The curriculum is designed to encourage active, experiential learning.
- Cutting-Edge Curriculum: Our curriculum is constantly updated to include the latest trends and technologies in AI and Data Science.
- Research Opportunities: Students are encouraged to engage in research projects under the guidance of our faculty.
- Industry Collaboration: Strong ties with the industry to provide internships, workshops, and guest lectures.
Placement Data
Centre of Excellence
Eminent Alumni
News and Events
Sustainable Entrepreneurship and Social Innovation
The Department of Artificial Intelligence and Machine Learning and the Internal Quality Assurance Cell (IQAC)
Using AI for Fundraising & Investor Pitch Preparation
The Department of Artificial Intelligence and Data Science and the Internal Quality Assurance Cell (IQAC)
Reshaping the Future of Healthcare
The Department of Artificial Intelligence and Data Science and the Internal Quality Assurance Cell (IQAC)
VISION
To uniquely position the department and to establish synergistic relationships across the entire spectrum of disciplines involved with computing by our faculty contributing to Computer Science and devoting themselves to take the maximal advantage of modern Computer Science to solve a wide range of complex, scientific, technological, and social problems.
MISSION
- To pursue our vision by striving for excellence in creating, applying, and imparting knowledge in Computer Science and Engineering.
- To pursue a comprehensive educational system, research in collaboration with industry and Government and to disseminate knowledge through scholarly publications.
- To provide service through professional societies to the community, the state, and the nation.
PROGRAMME EDUCATIONAL OBJECTIVES (PEOs)
- Graduates, within four years of graduation, should demonstrate peer-recognized expertise together with the ability to articulate that expertise and use it for contemporary problem-solving in the analysis, design, implementation, and evaluation of artificial intelligence/data science systems.
- Graduates, within four years of graduation, should demonstrate engagement in the engineering profession, locally and globally, by contributing to the ethical, competent, and creative practice of engineering or other professional careers.
- Graduates, within four years of graduation, should demonstrate sustained learning and adapt to a constantly changing field through graduate work, professional development, and self-study.
- Graduates, within four years of graduation, should demonstrate leadership and initiative to ethically advance professional and organizational goals, facilitate the achievements of others, and obtain substantive results.
- Graduates, within four years of graduation, should demonstrate a commitment to teamwork while working with others of diverse cultural and interdisciplinary backgrounds.
PROGRAMME OUTCOMES (POs)
- Engineering Knowledge: Apply fundamentals of math, science, and engineering to complex problems.
- Problem Analysis: Identify and analyze complex engineering problems to reach substantiated conclusions.
- Design/Development of Solutions: Design solutions for complex problems while considering public health, safety, and environmental factors.
- Conduct Investigations of Complex Problems: Use research-based methods, experiments, and data analysis to provide valid conclusions.
- Engineering Tool Usage: Apply modern engineering and IT tools with an understanding of their limitations.
- The Engineer and the World: Evaluate societal, health, safety, legal, and cultural responsibilities and sustainable development (merged from former PO6 and PO7).
- Ethics: Commit to professional ethics, human values, diversity, and inclusion.
- Individual and Collaborative Team Work: Function effectively as an individual and in multidisciplinary teams.
- Communication: Communicate effectively through reports, documentation, and presentations.
- Project Management and Finance: Apply engineering management and economic principles to manage projects.
- Life-Long Learning: Engage in independent and continuous learning amid technological changes.
PROGRAMME SPECIFIC OUTCOMES (PSOs)
Apply mathematical, statistical, and computational models to analyze data and build intelligent AI and machine learning solutions.
Use AI and ML knowledge, along with big data expertise, to innovate, pursue advanced research, or explore entrepreneurial opportunities in AI-driven domains.
Deploy AI and data analytics solutions responsibly, ensuring ethical practices, transparency, and sustainable decision-making.