Computer Science & Engineering - AI&ML

The Department of Artificial Intelligence & Data Science at SVIT, is a testament to the institution's commitment to cutting-edge education. The department has solidified its position as a hub for advanced learning in these rapidly evolving fields.

Recognizing the transformative potential of AI and Data Science, the department boasts a team of highly qualified and experienced faculty members. These educators possess in-depth knowledge of AI algorithms, machine learning techniques, data mining, big data analytics, and deep learning methodologies. Their expertise extends beyond theoretical concepts, encompassing practical applications and industry best practices.

The department is well-equipped with state-of-the-art infrastructure to support rigorous academic pursuits. Modern laboratories provide students with access to high-performance computing systems, advanced software tools, and specialized hardware for AI/ML research. These resources empower students to engage in hands-on projects, conduct research, and develop practical skills that are highly sought after by industry.

The curriculum is meticulously designed to provide a comprehensive understanding of AI and Data Science principles. It covers a wide range of topics, including:

• Core AI/ML Concepts: Supervised and unsupervised learning, deep learning architectures (CNNs, RNNs, Transformers), reinforcement learning, natural language processing.
• Applications: AI/ML applications in various domains such as healthcare, finance, cybersecurity, and autonomous systems.

The department fosters a vibrant learning environment that encourages critical thinking, innovation, and collaboration. Students have opportunities to participate in workshops, seminars, and industry interactions, providing valuable exposure to real-world challenges and industry best practices.

The Department of AI&DS at SVIT aims to equip students with the knowledge, skills, and practical experience necessary to excel in this rapidly evolving field. By nurturing a strong foundation in AI and Data Science, the department empowers graduates to contribute significantly to technological advancements and become leaders in the digital age.

Vision

Developing AI & DS applications that addresses regional challenges and empowering innovation and challenges, to become a leading rural AI & DS hub.

Mission

• M1: Emphasizing responsible AI development that considers social and environmental factors specific to the region.
• M2: Educating the public about the potential benefits and responsible use of AI & DS technologies.
• M3: Facilitating internships and research projects with AI & DS companies to bridge the gap between theory and practice.

PEO’s

• PEO1 To equip graduates with a strong foundation in engineering sciences and ArtificialIntelligence and Data Science Engineering fundamentals to become effective collaborators, researchers and real-time problem solver with technical competencies.
• PEO2 Perceive the limitation and impact of engineering solutions in social, legal, environmental, economic and multidisciplinary contexts.
• PEO3 Excel in Industry/technical profession, higher studies, and entrepreneurship exhibiting global competitiveness