Department of Artificial Intelligence & Data Science (AI & DS)
Department of Artificial Intelligence & Data Science (AI & DS) was established in the year 2021 with a goal of creating ethically responsible and self-reliant technocrats. The department offers a four year UG degree program in Artificial Intelligence & Data Science (AI & DS) with an annual intake of 60 students, AI&DS department has the significant infra structural facilities with well-equipped laboratories and hi-tech state of art networked computers with high speed internet facility. The department is gifted with a team of 8 qualified and experienced faculty members who are here to guide the students in all the aspects.
PROGRAM
UNDERGRADUATE DEGREEDURATION
4 YEARSLANGUAGE
ENGLISHVision
- To encourage the professionals in the field of Artificial Intelligence and Data Science contributing globally to the benefit of industry and society
Mission
- Offering well-balanced curriculum to engage the students in a smart learning ambiance for developing competent AI professionals.
- To enlighten students to experience in learning, research and industrial collaboration to update their knowledge in the field of Artificial Intelligence and Data Science.
- To equip the professionals with high ethical values and ability to solve real-life problems.
Programme Educational Objectives (PEOs)
- PEO 1: To enable graduates to pursue higher education and research and have asuccessful career in industries associated with Engineering.
- PEO 2: Graduates will be able to handle the challenges of rapidly changing technology in real-life problems.
- PEO 3: Embrace lifelong learning to meet ever changing developments in Artificial Intelligence and Data science.
- PEO 4: Graduates will attain entrepreneurial skills that allow them to contribute ethically to the need of society.
PROGRAMME OUTCOMES (PO’s)
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PO1 Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
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PO2 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.
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PO3 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.
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PO4 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.
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PO5 Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
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PO6 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.
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PO7 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.
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PO8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
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PO9 Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
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PO10 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.
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PO11 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.
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PO12 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..
A graduate of the Computer Science and Engineering Program will attain
PROGRAMME SPECIFIC OUTCOMES (PSO’s)
- PSO1: Apply mathematical and statistical models along with suitable AI algorithms toaddress and solve computational tasks.
- PSO2: Apply the Data Science techniques to achieve effective insights and decisionmaking to solve real-life problems.
- PSO3: Develop AI based software applications and solutions to meet the needs of industry and society.
Faculty Members
DEPARTMENT OF AIDS
| Faculty | Qualification | Designation | Unique ID | Profile | |
|---|---|---|---|---|---|
| Dr.C.Natatajan | M.E., Ph.D., | Associate Professor/HOD | natarajan@psr.edu.in | 1-443517163 | View |
| Dr. N. Saravana Selvam | M.E., Ph.D. | Professor | saravanaselvam@psr.edu.in | 1-44726505624 | View |
| S.jeyalakshmi | M.E., | Assistant Professor | jeyalakshmi@psr.edu.in | 1-43751056299 | View |
| J.Jeraldin Amala Priya | M.E., | Assistant Professor | jeraldinamalapriya@psr.edu.in | 1-44716351629 | View |
| R.Kirthika | M.E., | Assistant Professor | kirthika@psr.edu.in | 1-44716351561 | View |
| Ms.A.Ishwariya | M.E.,(Ph.D) | Assistant Professor | ishwariya@psr.edu.in | 1-7367177782 | View |
| Mrs Karthika K | M.E., | Assistant Professor | Karthika.k@psr.edu.in | 1-132246544760 | View |
| Mrs Devi nandhini V | M.E., | Assistant Professor | devinandhini@psr.edu.in | 1-45826428332 | View |
| Mrs.Rathika R | M.E., | Assistant Professor | rathika@psr.edu.in | 1-46975696175 | View |
| Mrs.Bhavani.S | M.E., | Assistant Professor | bhavani@psr.edu.in | 1-45291184291 | View |
| Mr.Vairavasamy M | M.E., | Assistant Professor | vairavasamy@psr.edu.in | View |
Events
The college organizes events with many purposes in intention. Some of the significant events were on support on employment workshops, entertainment, academic studios, international and socio-cultural activities, etc. The objective is to create a multicultural and international understanding among the students and staff.
2024-2025 Academic Year Events
Department of Artificial Intelligence and Data Science organized Workshop on Cloud Computing and Getting Started with Microsoft Azure. On 03.01.26. A total of 78 participants from the AI&DS department actively took part in the Workshop. The Second year students, Faculties and Non-teaching staff worked for this event to make this event a grand success.
Department of Artificial Intelligence and Data Science organized Seminar on AI Agents Platforms and Tools (AAPT) on 24.12.25. workshop was conducted for Final-year students A total of 66 participants from the AI&DS department actively took part in the Seminar.
Department of Artificial Intelligence and Data Science organized Workshop on The Exploration Matrix unlocking Data Secrets on 27.09.25 to 30.09.25. A total of 61 participants from the AI&DS department actively took part in the Seminar Dr.C.Natarajan, Head of the Department, AI&DS, who highlighted the importance and objectives of the workshop
Department of Artificial Intelligence and Data Science of P.S.R. Engineering College,Sivakasi organized Workshop on Augmented Reality on 22.09.2025.A total Of 62 participants from the AI&DS department actively took part in the Seminar.The Coordinator Ms.J.Jeraldin Amala Priya AP/AI&DS, Second and Final year students,Faculties and Non-teaching staff worked for this event to make this event a grand success.
Department of Artificial Intelligence and Data Science organized Seminar on Data to Prediction: Pipeline for ML projects on 29.08.25. The Seminar conducted by our Resource Person Dr. S.Thayammal , director of Deep Dive Technologies.
Department of Artificial Intelligence and Data Science organized Workshop on Canva and Power BI on 23.08.25 & 30.08.25. A total of 60 participants from the AI&DS department actively took part in the Seminar.The Coordinator Ms.J.Jeraldin Amala Priya AP/AI&DS, Second year students, Faculties worked for this event to make this event a grand success.
Department of Artificial Intelligence and Data Science (AI&DS), in collaboration with AURA, successfully conducted a five-day Faculty Development Program titled “Value Added Teacher” from August 5th to August 9th, 2025. A total of 14 participants were participated, The FDP featured sessions conducted by our Resource Person
Department of Artificial Intelligence and Data Science organized Seminar on Founder’s Voice on 25.07.25. A total of 76 participants from the AI&DS department actively took part in the Seminar, The Coordinator Ms. P.Esther, AP/AI&DS, Third year students, Faculties and Non-teaching staff worked for this event to make this event a grand success.
Department of Artificial Intelligence and Data Science organized DVR Dataverse Reloaded an orientation program on 14.07.25. A total of 60 participants actively took part in the workshop, Dr. C. Natarajan, Head of the Department who highlighted the importance and objectives of the orientation program
Department of Artificial Intelligence and Data Science organized a workshop on 30.06.25 to 04.07.25. A total of 57 participants from the AI&DS department attended the workshop, The workshop was conducted for third-year students while the technical sessions were handled by M. Santhosh Kumar, S. Pandiselvam, and M. Babujee from Skygen Mecha’s.
Syllabus
Academic study is a collaborative educational process where the students and staff are communicating to ensure speculative and career goals. Both the parties are making their part to a greater extent to reach success.
ACADEMIC REGULATIONS & SYLLABUS
| REGULATIONS |
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| REGULATIONS 2023 |
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