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DIVISION OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

B.TECH. COMPUTER SCIENCE AND ENGINEERING (ARTIFICIAL INTELLIGENCE)

  • PEO I: Innovate software solutions to address complex real-world challenges in industry and society.
  • PEO II: Improvise the performance of enterprise software solutions through integrating emerging technologies.
  • PEO III: Start enterprises that deliver impactful software services and technology development.

    Graduates will have ability to:

    1. Engineering Knowledge: Apply the knowledge of mathematics, natural sciences, engineering fundamentals specialization to the solution of complex engineering problems.
    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.
    3. Design / Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet specific needs with appropriate consideration for the public health and safety and the cultural, societal and environmental considerations.
    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.
    5. Modern Tool Usage: Create, Select and Apply appropriate techniques, resources and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
    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.
    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.
    8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
    9. Individual and Team Work: Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings.
    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.
    11. Project Management and Finance: Demonstrate knowledge and understanding of the engineering and management principles and apply this to one’s own work, as a member and leader in a team, to manage projects and in multi-disciplinary environments.
    12. Life – Long Learning: Recognize the need for and have the preparation and ability to engage in independent and lifelong leaning in the broadest context of technological change.
    • PSO 1: Build efficient front end and back-end software applications tailored to industry needs.
    • PSO 2: Evaluate the performance of intelligent web-based and mobile application.
    • PSO 3: Analyze the performance of computing infrastructures and information management.

    B.TECH. COMPUTER SCIENCE AND ENGINEERING (Artificial Intelligence and Machine Learning)

    • PEO I: Innovate cutting-edge software solutions to drive efficiency and performance improvements in industrial and societal contexts.
    • PEO II: 2. Improvise the performance of enterprise software systems to ensure scalability, robustness and, alignment with emerging technologies.
    • PEO III: Start technology-driven enterprises, delivering impactful and sustainable software services.

      Graduates will have ability to:

      1. Engineering Knowledge: Apply the knowledge of mathematics, natural sciences, engineering fundamentals specialization to the solution of complex engineering problems.
      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.
      3. Design / Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet specific needs with appropriate consideration for the public health and safety and the cultural, societal and environmental considerations.
      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.
      5. Modern Tool Usage: Create, Select and Apply appropriate techniques, resources and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
      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.
      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.
      8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
      9. Individual and Team Work: Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings.
      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.
      11. Project Management and Finance: Demonstrate knowledge and understanding of the engineering and management principles and apply this to one’s own work, as a member and leader in a team, to manage projects and in multi-disciplinary environments.
      12. Life – Long Learning: Recognize the need for and have the preparation and ability to engage in independent and lifelong leaning in the broadest context of technological change.
      • PSO 1: Build intelligent web-based and mobile applications that address specific industry requirements.
      • PSO 2: Evaluate the computing infrastructures and information management systems for improved operational efficiency.
      • PSO 3: Optimize the front end and back-end software solutions to ensure user satisfaction.



      Testimonies by our Alumni


      Mr.Jobez

      Karunya Institute of Technology and Sciences has played a significant role in shaping my career, especially through the AIML department’s practical approach and industry-focused projects. The knowledgeable faculty and constant mentorship helped me build a strong technical foundation in AI and ML. The department’s placement training was thorough, covering everything from technical prep to soft skills and mock interviews, which gave me the confidence to land a fantastic job. With its innovative resources and supportive environment, my time at Karunya was truly rewarding. I strongly recommend the AIML department to anyone passionate about this field.

      Ms. Chris

      Karunya was an unforgettable journey for me. From the division of AIML,I had a lot of opportunities to take part in various conferences, hackathons, and national and international events conducted frequently. In my second year, I got an opportunity to take part in a STEM mentorship program offered by a renowned German multinational open-source software company named SUSE. Later, I was allowed to contribute to the National Examination Council of Tanzania (NECTA) through IAESTE. Division of AIML helped me groom myself into a student leader through the role of Association Secretary in my third year. In the first week of my final year, I was able to get placed in a globally recognized product-based company named SABRE, with a good package. Throughout my academic journey, the faculty members were loving and supportive. My department was an instrument in my life to mould me into a wholesome person.

      Aarsha Ajith
      URK21CS7016
      "Being a bio student, stepping into computer science was naturally intimidating, but everything turned out easier than I anticipated because I had the best people to support me. One of the biggest lessons I’ve learned from the Division of AIML at Karunya is that opportunities are everywhere—you just need the drive to find what you want. My biggest takeaway will always be the people I’ve met through the Division of AIML and the doors it opened for me. So, thank you to Karunya University and the Division of AIML for making my world bigger."

      Gaayatri Pradeep
      URK21CS7027
      Studying in the AIML department at Karunya has been one of the most defining chapters of my life. Over these four years, I’ve not only built a solid technical foundation but also discovered my strengths, passions, and values. What made this journey special were the people: the supportive faculty who encouraged curiosity, friends who became like family, and an environment that pushed me to grow beyond the classroom. Karunya didn’t just prepare me for a tech career—it shaped me into someone ready to face the world with confidence and compassion.