110 Vishnu Institute of Technology
 Counselling Code : V I T B  
Accredited by NAAC 'A+'(3.51 CGPA) & NBA
 Counselling Code : VITB  

Artificial Intelligence and Data Science

At Vishnu Institute of Technology, Bhimavaram, the Department of Artificial Intelligence and Data Science began in 2020 with a B.Tech. intake of 60 students. Nowadays, B.Tech in Artificial Intelligence and Data Science is one of the main branches of science, engineering, and technology.

In B.Tech CSE (Artificial Intelligence and Machine Learning), Students Learn About Essential Concepts Such as Computational Thinking, Programming for Problem Solving using Python, Data Structures, Algorithms, Databases, Artificial Intelligence – Search Techniques and Knowledge Representation, Machine Learning, Deep Learning, and Natural Language Processing. Students will also obtain an In-Depth Knowledge of Artificial Intelligence and Machine Learning by Implementing Real-World Problems in a Wide Variety of Application Domains such as Cognitive Sciences, Computer Vision, Speech and Natural Language Processing, etc. Students will be experienced in Machine Learning, Computer Vision, Speech and Natural Language Processing, Data Analytics, and Generic AI Domain Verticals Under Which Various Professional Electives are Offered.

Why pursuing a degree in Artificial Intelligence and Data Science (AI&DS) is a valuable choice ?

  • High Demand & Career Opportunities: AI&DS graduates have vast career prospects in fields like AI engineering, data science, and machine learning due to the increasing reliance on AI technologies across industries.
  • Innovative & Cutting-Edge Field: AI is revolutionizing industries with technologies like self-driving cars and personalized healthcare, offering students the chance to work on advanced and impactful projects.
  • Versatility & Applicability: AI&DS skills are applicable in numerous industries, such as healthcare, finance, retail, and entertainment, providing flexibility in career paths.
  • Interdisciplinary Learning: AI&DS combines computer science, mathematics, and domain knowledge from various industries, fostering technical expertise and critical thinking.
  • Impact on Society: AI can solve societal challenges, including healthcare improvements and sustainable development through predictive analytics and environmental monitoring.
  • Continuous Learning & Growth: The rapidly evolving field offers opportunities for ongoing learning in areas like machine learning and neural networks.
  • Entrepreneurial Opportunities: AI&DS graduates can create innovative AI-driven solutions, offering scope for entrepreneurship.
  • Competitive Edge: AI&DS graduates are equipped with skills in AI algorithms, data analytics, and programming, making them competitive in the job market.
  • Attractive Salary Packages: AI professionals typically receive high salaries due to the specialized skills they bring to the tech industry.
  • Contribution to Future Technology: AI&DS is shaping future technologies like autonomous systems and smart cities, allowing graduates to be part of groundbreaking advancements.

Vision, Mission, PEO's & PSO's

Vision of the AI&DS Department

To be recognized universally for contributing professional, social and ethical engineers in the area of Artificial Intelligence and Data Science with a commitment to cultivate industry potential for innovation and research.

Mission of the AI&DS Department

  • To develop students with a sound understanding of the fundamentals of the theory and practice in the field of Artificial Intelligence and Data Science.
  • To equip students for gaining knowledge of statistical, mathematical and computational modeling methodologies to contribute in the field of innovation in Artificial Intelligence and Data Science.
  • To meet the skilled and professional engineers who are capable of solving societal challenges in the areas of Artificial Intelligence and Data Science.

Program Educational Objectives - PEO's

  • Strong Foundation in AI & Data Science Fundamentals

    To provide students with a robust foundation in the mathematical, computational, and scientific principles necessary to formulate, solve, and analyze problems in artificial intelligence, machine learning, and data science.
  • Success in Industry and Research

    Graduates will excel in entry-level positions in AI, data science, and IT-related industries, as well as in government agencies, by applying their skills in AI-driven technologies and data analytics.
  • Pursuit of Advanced Degrees and Lifelong Learning

    Graduates will pursue advanced degrees in artificial intelligence, data science, and related fields, and will cultivate the skills needed for continued independent learning to stay at the forefront of technological advancements and innovations.
  • Development of Teamwork, Leadership, and Ethical Values

    Empower students with effective teamwork, communication, leadership skills, and a strong sense of ethical responsibility to contribute positively to society and the nation, and to become leaders or entrepreneurs in the AI and data science industry.

Program Specific Outcomes - PSO's

  • AI and Data Science Problem-Solving Skills:

    Ability to apply foundational knowledge in artificial intelligence, machine learning, data science, programming, and algorithms to analyze, design, and develop innovative AI-driven solutions for real-world problems.
  • Data Management and Analytics Expertise:

    Proficiency in managing, processing, and analyzing large datasets using data science tools and techniques to extract meaningful insights and support decision-making processes.
  • AI System Design and Deployment:

    Capability to design, implement, and optimize intelligent systems and models for automation, prediction, and decision support, leveraging state-of-the-art technologies like deep learning, natural language processing, and computer vision.
  • Ethical and Responsible AI Practices:

    An understanding of the ethical implications of AI and data science, with the ability to apply best practices to ensure fairness, transparency, privacy, and security in AI system development and deployment.