Artificial Intelligence & Data Science Department
Where Intelligent Computing Meets Data-Driven Decision Making
The Artificial Intelligence & Machine Learning Department at Amrita Sai Institute of Science and Technology is designed to develop strong foundations in intelligent computing, data-driven systems, and modern AI technologies. The department combines core computing principles with emerging advancements in automation, predictive systems, and machine intelligence.
With a structured academic approach and practical learning environment, students are trained to understand how intelligent systems analyse information, identify patterns, and support decision-making across industries. The curriculum balances conceptual clarity with hands-on implementation, preparing students for rapidly evolving technology ecosystems.
Academic Pathways in Artificial Intelligence & Data Science
B.Tech in Artificial Intelligence & Data Science
This programme builds strong foundations in artificial intelligence, machine learning, statistical analysis, data engineering, and intelligent computing systems. Students gain exposure to programming frameworks, analytical tools, and data-driven applications through structured labs, projects, and practical implementation approaches.
This programme builds strong foundations in artificial intelligence, machine learning, statistical analysis, data engineering, and intelligent computing systems. Students gain exposure to programming frameworks, analytical tools, and data-driven applications through structured labs, projects, and practical implementation approaches.
Graduates are prepared to work across AI-driven development, analytics, intelligent automation, and advanced data-centric technology environments.
How Learning Is Structured
Technology environments designed for intelligent analytics and experimentation.
Related branches:
- Strong grounding in programming, statistics, and analytical reasoning
- Progressive exposure to AI models, machine learning, and data processing systems
- Continuous project-based and practical learning environments
- Curriculum aligned with evolving AI and analytics technologies
- Exposure to modern tools, datasets, and intelligent computing frameworks
Learning Infrastructure
Advanced labs for Artificial Intelligence, Data Science, and Machine Learning
Dedicated coding and project development environments
High-performance systems for model training, analytics, and simulations
Access to digital resources, datasets, journals, and technical platforms
Campus-wide connectivity supporting collaborative learning and research
Department Strengths
- Industry-aligned curriculum focused on emerging AI anf data driven technologies
- NAAC ‘A’ Grade accredited academic environment
- ISO 9001:2015 certified academic processes
- Advanced computing infrastructure and modern analytical environments
- Structured placement preparation and technical skill development support
Beyond the Classroom
Learning extends through experimentation, collaboration, and innovation.
Students actively engage in:
- Data-driven project development and AI applications
- Hackathons, coding challenges, and technical competitions
- Research activities and analytical presentations
- Workshops, seminars, and certification programmes
- Collaborative learning and interdisciplinary technical activities
Head of Department
Mr. B. Koteswara Rao
Assistant Professor & Head – Civil Engineering
- Life Member – ASCE
- +91-6303402618
- Guided UG & PG Projects
- [email protected]
- 10+ Publications
Where This Leads
Prepared for intelligent systems. Ready for data driven industries.
