Department of Artificial Intelligence & Data Science

The Department of Artificial Intelligence and Data Science was started in the year 2022 with an intake of 60 students. The faculty members of the Department understand the importance of programming and how they make the students think and act differently. 

The Department has well-maintained computer systems as per the norms of AICTE and Anna University. All systems are connected to the Internet that has high bandwidth connectivity all round the clock, enriching the educational experience of students and faculty members.

The Lab is fully air-conditioned with about 500 systems and 5 nos of IBM Rack servers. All computer systems have original software installed in them pertaining to the curriculum. Students and faculty members can access the Internet whenever needed as we believe that the Internet is a positive step towards education.

Each classroom in the college is well-furnished with a LCD projector and computer system as part of our e-Learning process. The classrooms are Wi-Fi-enabled to encourage students in their learning process.

Faculty members and students are trained in emerging areas like RPA, AWS, Salesforce and IoT. Students are much more oriented towards latest technologies and faculty members are well-equipped to provide consultancy to industries.

The Department is continuously organizing seminars, symposiums, workshops and guest lectures on emerging technologies to enhance the knowledge of students and faculty members. The teaching and learning emphasizes on both theoretical as well as practical knowledge catering to the industrial needs.


Foster inventive teaching practices to advance technical proficiency in AI and data science


  1. Facilitate the students with expertise in scientific advancements through Invest in Yourself (IIY) techniques.
  2. Creating a dynamic environment conducive to ethical innovation, propelling societal progress.

Quality Policy

To develop a system of excellence through outcome-based education and interdisciplinary research to move towards quality enhancement and to inculcate professional behaviour and commitment.


Graduates can

  1. Utilize their proficiencies in the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volumes of data.
  2. Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.
  3. Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.
  4. Design and model AI based solutions to critical problem domains in the real world.
  5. Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.


  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, review research literature, and analyse 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, 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 multidisciplinary 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 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.


Graduates should be able to:

  • Evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
  • Arrive at actionable Foresight, Insight, hindsight from data for solving business and engineering problems
  • Create, select and apply the theoretical knowledge of AI and Data Analytics along with practical industrial tools and techniques to manage and solve wicked societal problems
  • Develop data analytics and data visualization skills, skills pertaining to knowledge acquisition, knowledge representation and knowledge engineering, and hence be capable of coordinating complex projects.
  • Able to carry out fundamental research to cater the critical needs of the society through cutting edge technologies of AI.

The Computer Science student's Association, “SparCK” provides opportunities to sharpen the skills of students by organizing guest lectures, seminars and student meets. The Alumni of the department deliver lectures on latest topic in the IT industry for updating the technical skill of the students by coordinating with the association.


SL.NO Programme Date Description/ Activity/Topic Speaker



02.08.2018 Student Magazine & Department Newsletter were released by Chief Guest

Mr. Balasubramaniyam D,

DC HR Head & Global Unit HR, Infosys, Chennai

2 Industrial Guest Lectures 02.08.2018 How to Succeed in IT Industry

Mr. Balasubramaniyam D,

DC HR Head & Global Unit HR, Infosys, Chennai

3 Alumni Guest Lectures 29.09.2018 Awareness on Recent Trends in IT Industries

Mr. Sivanantham, Senior Program Developer,

CTS Chennai.

4 International Conference 09.03.2019 International Conference on Recent Trends in Science, Engineering and Technology



Annamalai University, Chidambaram

5 Guest Lecture 12.01.2019 One Day Hands On Training On Internet Of Things


Asst Professor,

Kongu Engineering College, Perundurai

6 Industrial Guest Lecture 12.02.2019 Emerging Technologies in IoT

Mr.K.Siva ,

Project Developer ,

JP Infotech,


7 Alumni Guest Lectures 09.02.2019 Digital Technologies


Associate Lead ,

RoadMap IT Solutions, Pondicherry

8 Value Added Course




Two Days Hands-On- Training in “IOT Using Arduino and Raspberry”


Developer & Trainer in Cubix Technologies,


Sl. No. Name of the Faculty Educational Qualification Designation
1 Mr. Ashiq Irphan K B.E., M.Tech., (Ph.D) Associate Professor
2 Mr. Thiyagarajan V B.E.,M.B.A., M.E. Assistant Professor
3 Ms. Dharshini B S B.E., M.E.  Assistant Professor
4 Mr. Rajkamal K B.E., M.E.  Assistant Professor
5 Ms. Tamizkuzhali R B.E., M.E.  Assistant Professor
6 Mr. Kalaiyarasan K B.Tech., M.E. Assistant Professor
7 Mr. Karthick K B.Tech., M.Tech. Assistant Professor


The Department is equipped with the following laboratories:

  • Internet of Things (IoT) Lab
  • Robotic Process Automation (RPA) Lab
  • Networks Lab
  • Graphics and Multimedia Lab
  • E-learning and Internet Lab
  • Free & Open Source Software (FOSS) Lab
  • Project Lab

Department Library

The Department Library has more than 300 books covering a wide range of subjects and several Journals including Database Systems, Software Engineering and Methodology, Operating Systems and Programming Languages, ACM Computing Surveys, International Journal for Neural Systems and Computational Intelligence and Applications, Software Engineering Notes, Operating System Review, Computer Communication Review and Computer Architecture News.