Overview

Admissions open for B.TECH. COMPUTER ENGINEERING     |     B.TECH. ARTIFICIAL INTELLIGENCE AND DATA SCIENCE     |     KARUNYA ENTRANCE EXAMINATION (KEE 2025)
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Division of Data Science and Cyber Security

About Us

At the forefront of digital defence and innovation, the Division of Data Science and Cyber Security at Karunya Institute of Technology and Sciences is dedicated to shaping the next generation of AI Engineers, Data Science enthusiasts, Cyber Security leaders, researchers, and practitioners. Rooted in academic excellence and fuelled by a passion for protecting cyberspace, our division offers a comprehensive suite of programs, resources, and opportunities designed to meet the evolving needs of the digital age. Combining the power of AI and Data Science with the critical defence strategies of Cyber Security, our division stands at the forefront of innovation, education, and research. We are dedicated to preparing the next generation of professionals equipped with the interdisciplinary skills and expertise needed to tackle the complex challenges of the digital age.

Our Vision

To nurture and raise leaders, excelling in academia, industry, interdisciplinary research, innovation in the domains of Artificial Intelligence, Data Science and Cyber Security, with a passionate commitment to provide solutions to critical societal problems.

Our Mission

To train students with strong foundational concepts, adept programming skills and efficient problem-solving abilities with exposure to emerging technologies, enabling them to tackle the digital security challenges.

To advance research in cutting-edge technologies, with a focus on delivering analytical solutions, especially in the domains of healthcare, water, energy and food.

To build qualities of entrepreneurial leadership imbued with ethical values and a commitment to serve and uplift society.

B.TECH. COMPUTER ENGINEERING

Program Educational Objectives (PEOs)

  • PEO I: Demonstrate the knowledge attained, to analyse the technical requirements, and develop secure innovative solutions. solutions.
  • PEO II: Provide solutions for real world problems through the assimilated expertise as technical professionals, academicians and entrepreneurs.
  • PEO III: Contribute to the humanity by exercising the code of ethics and professional practice.

    Program Outcomes (POs)

    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.

    Program Specific Outcomes (PSOs)

    • PSO 1: Understand, analyse, design and develop intelligent systems of varying complexity using statistical and computational principles in the areas of algorithms, artificial intelligence, data science, robotics, multimedia and distributed Systems.
    • PSO 2: Apply contemporary tools and techniques of Artificial Intelligence and Data Science in exhibiting skills for employability, entrepreneurship and research.

    B.TECH. ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

    Program Educational Objectives (PEOs)

    • PEO I: Demonstrate the knowledge acquired in Artificial Intelligence and Data Science, to analyse and identify the requirements, formulate and develop innovative intelligent solutions.
    • PEO II: pply Artificial Intelligence and Data Science proficiency as professionals, academicians and entrepreneurs to solve human problems.
    • PEO III: Execute professional practice to serve the society with ethics.

      Program Outcomes (POs)

      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.

      Program Specific Outcomes (PSOs)

      • PSO 1: Understand, analyse, design and develop intelligent systems of varying complexity using statistical and computational principles in the areas of algorithms, artificial intelligence,data science, robotics, multimedia and distributed Systems. .
      • PSO 2: Apply contemporary tools and techniques of Artificial Intelligence and Data Science in exhibiting skills for employability, entrepreneurship and research



      Our Top Recruiters


      Testimonies by our Alumni


      MR.RICHIE SURESH KOSHY [AI&DS 2020-24]

      The pivotal factor that significantly shaped my journey, from Karunya University to my current internship at Cisco Systems with a monthly stipend of Rs. 98,000 and a placement offer boasting a package of 24 LPA, has undeniably been the opportunities provided by the Division through Industry certification and training. At Karunya University, I was blessed with the opportunity to associate myself with amazing friends who have made an instrumental impact in helping me achieve my dreams. Commencing my journey with a commitment to learning and diligence, and along with the support from friends and faculties, I finally achieved the goal I set for myself back when I joined this Institution. I'm extremely grateful to everyone who helped me throughout this 4-year journey.
      JESSICA JANE ROBINSON [AI&DS 2020-24]
      I am currently pursing my internship at Datahouse, Switzerland through IAESTE Karunya with a stipend of Rs. 2.37 lakh per month. This opportunity has not only enriched my academic journey but has also laid a foundation for a future career in a global perspective. I am extremely grateful to Karunya and my division for facilitating the logistics of my coursework and offering guidance and encouragement for this internship.
      PERCIVAL JACOB HENDERSON [COMP. ENGG 2020-24]
      My walk through this phase of studying Computer Engineering in Karunya has been a delightful experience, as undoubtedly the educational curriculum has brought the appetency to learn and explore various domains in the world of technology. The college strives relentlessly towards providing students with a placement, which gave me an opportunity to get placed in "Intellipat". Across the Board, education in Karunya has certainly been a major factor in my life, adding a lot of values to my personal as well as professional being.
      Mr. WINSTON JAMES DANIEL B [AI&DS 2021-25]

      My journey through the Artificial Intelligence and Data Science program at Karunya has been an enriching experience, shaping my passion for learning and innovation in the ever-evolving field of technology. The well-structured curriculum not only deepened my technical knowledge but also encouraged me to explore diverse domains. Karunya’s strong commitment to student success, particularly in placements, played a crucial role in my professional growth, leading to an exciting opportunity with Sabre with an impressive offer of 13.5 LPA. My time here has been instrumental in shaping both my personal and professional identity, equipping me with the skills and confidence to navigate the tech industry. I'm extremely grateful to everyone who helped me throughout this 4-year journey.
      Mr.ANVIN SHAIJU[AI&DS 2021-25]

      My transformative journey at Karunya University shaped my career and achievements. The university provided me with the knowledge, skills, and confidence to thrive and seize incredible opportunities. From completing a consultancy project for Pittappillil Agencies during my college days to winning the Intel OneAPI Hackathon and securing placements in top companies like Cognizant, Capgemini, and H&R Block, every milestone was a testament to the unwavering support of my faculty and peers. Karunya's industry-focused training and guidance truly turned my dreams into reality.
      Ms. PRAISY PETRA[Computer Engineering 2021-25]

      My time at Karunya was truly transformative, guided by God's hands. I began as a participant in the Gen AI Hackathon, and over time, I became a technical content writer for the Google Developer Students Club, interned at the National Informatics Centre, contributed to publications, and secured a software engineer role at HRBlock. None of this would have been possible without the support of my division faculties and friends, who guided me with advice and encouragement. I am forever grateful to Karunya for shaping me and helping me discover my true potential. All glory to God for this incredible journey.

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      Contact Us

      Data Science and Cyber Security,
      Karunya Institute of Technology and Sciences,
      Coimbatore, India- 641114.

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