Kathir Engineering College

NEWS

50 k
Finished Sessions
70 k+
Enrolled Learners
120 +
Online Instructors
100 %
Satisfaction Rate

ABOUT THE DEPARTMENT

AI has progressed rapidly over the last few years, but it is still nowhere near matching the vast dimensions of human intelligence. Data science is much more than just simple machine learning. Artificial Intelligence and Data Science Programme teaches with the skills to perform intelligent data analysis which is used in a variety of real-world applications. Data science is not just related to the statistical aspect of the process, but it feeds the process and derives benefits from it through data engineering. Data engineers and data scientists have a huge role to play in propelling AI forward. Latest technology is pleased to have made use of enhanced AI and data science algorithms that make sure to provide users with content deemed relevant for them.

AI and DS envisions to create  industry ready graduates with Strong fundamental learning, skills to practice in multiple programming language environments such as Python and Java, state-of-the-art Machine Learning (ML) and Deep Learning (DL) frameworks. The course helps students to investigate cutting-edge technologies such as Big Data, Neural Networks, and Deep Learning. Integration of Industry 4.0  in the curriculum ensures that the students explore and capitalise on the enormous potential of emerging technologies such as artificial intelligence, Data Science,  Robotics, Cloud computing, Machine Learning Algorithms, and Robotics process automation of business processes across industry.

Artificial Intelligence & Data Science covers the core principles of Data Science, the process of ethically acquiring, engineering, analyzing, visualizing data.This course aims to teach not only core technologies like artificial intelligence, data mining, and data modelling, but also advanced topics like machine learning and big data analytics. Students can learn cross-disciplinary skills as a result of this course. The main goal of this programme is to train students to become industry ready and knowledgeable, to pursue careers as data analysts, data scientists, capable of solving major problems in the fields of machine learning, statistics, information discovery, and visualisation skills.

VISION

To empower students as global leaders in innovative and transformative fields of Artificial Intelligence and Data Science, fostering groundbreaking discoveries that impact society and address real-world challenges.

MISSION

Department of Artificial Intelligence and Data Science

Programme Education Objectives (PEOs)

Graduates can

Program Specific Outcome (PSOs)

Graduates should be able to:

Programme Outcomes (POs)

Graduate Attribute

  1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  2. Problem analysis: Identify, formulate, 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 the specified 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, demonstrate the knowledge of, and need for sustainable development.
  8. Ethics: Apply ethical principles and commit to professional ethics, responsibilities, and norms of the engineering practice.
  9. Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  10. Communication: Communicate effectively on complex engineering activities with the 21 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 these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Placement Highlights

2025-2026

Shaping careers through strong industry
connections and placement excellence.

Speach

HOD’S Message

 Artificial and Data Science are two of the most exciting and promising fields of the future. According to a report by NASSCOM, India will need several million AI and Data Science professionals in 2030. AI and Data Science are not limited to any specific industry or domain. They offer immense opportunities for innovation, growth, and impact in various domains such as IT, healthcare, automobile, education, finance, entertainment, and more.
The department of AI&DS is approved by Anna University, Tamilnadu and AICTE, New Delhi. A B.Tech – AI&DS is typically a four-year undergraduate program that consists of eight semesters. The curriculum of a B.Tech in AI&DS course covers various AI and DS engineering subjects such as Programming languages, Algorithms, Discrete Mathematics, Probability and Statistics, DBMS, Operating systems, Networks, Machine learning, Deep learning, Natural language processing, Computer vision, Data mining, Data visualization, Cloud computing, IoT etc.,
The department faculty members are highly qualified and well experienced in the domain. The department labs are equipped with high configured computer systems and latest version licensed softwares. Our students are working in various MNCs like TCS, WIPRO, Infosys etc..,
I can promise our department will give you all opportunities and facilities for becoming a professional in the AI&DS domain.
Wishing you a successful career !!!

Dr.K.SARAVANAN,
Professor and Head,
Department of Artificial and Data Science.

Laboratory

Lab Details

Programming in C Laboratory

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Object Oriented Programming

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Artificial Intelligence Laboratory

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Machine Learning Laboratory

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Data Structures and Algorithms

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Data Science and Analytics Laboratory

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Professors

FACULTY

Dr. K. Saravanan

PROFESSOR

Specialization : Wireless Network and Mobile Technology

Dr. S. Usha

ASSOCIATE PROFESSOR

Specialization : Image Processing,Machine Learning, Deep Learning

Mrs. G. Vasanthi

ASSISTANT PROFESSOR

Specialization : Data Analytics

Mrs. M. Kavitha

ASSISTANT PROFESSOR

Specialization : Machine Learning, Deep Learning

Mrs. P. Sangeetha

ASSISTANT PROFESSOR

Specialization : Data Science, Machine Learning

Mrs. N. Kiruba

ASSISTANT PROFESSOR

Specialization : Artificial Intelligence

Mrs. S. Rajaambika

ASSISTANT PROFESSOR

Specialization : Machine Learning, Networks

Mr. G. Sureshkumar

ASSISTANT PROFESSOR

Specialization : Network and network security

Mrs. S. Nanthini

ASSISTANT PROFESSOR

Specialization :Network and network security

Mrs. J. Shivabhuvaneshwari

ASSISTANT PROFESSOR

Specialization : Data Analytics

Laboratory

Lab Details

2020 - 2024

Alumni Details

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Studying B.Tech Artificial Intelligence and Data Science (2020–2024) gave me a strong foundation in programming, machine learning, and analytics. The hands-on labs and supportive faculty helped me build real-world projects and gain confidence. Today, I am working as a Data Analyst, and the knowledge I gained in this department plays a major role in my career growth

K B Aakaash

Software Engineer, Cepheid
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The faculty members in the AI & DS department were always approachable and motivating. Their continuous support helped me succeed academically and professionally. The friendly learning environment and project-based teaching made my four-year journey memorable. I am proud to be an alumnus of this department

S.Renu Shree

AR Analyst, Wave Online Infoway Pvt Ltd, Chill Sez IT Park, Keeranatham, Saravanapatty
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My time at Kathir College of Engineering was a formative experience that shaped both my personal and professional growth. The college provided an environment where I could explore my interests, develop new skills, and build lasting friendships.Beyond academics, I learned valuable life lessons about independence, time management, and perseverance. Looking back, I’m grateful for the opportunities and memories I gained during those years. They laid the groundwork for who I am today.

Gowtham M

Software Engineer, Privado AI