About Department
The Department of Artificial Intelligence and Data Science was started in 2020 with the goal of training students and conducting research in the fields of Artificial Intelligence & Data Science. Bachelor of Technology in Artificial Intelligence and Data Science is a 4-year undergraduate Engineering Degree programme. Artificial Intelligence and Data Science are one of the most rapidly growing technologies which has high lucrative prospects across the globe in all industries. This course aims to bring up budding engineers as connoisseurs in Data Science, Machine Learning, Deep Learning, and other underlying fields of Artificial Intelligence. A well-deployed teaching-learning process of K.S.Rangasamy College of Technology inculcates the young aspiring minds of the students by analyzing the learning needs of every student and provides a conducive environment for learning with parental care. The core Faculty team with well-experienced, dedicated, highly qualified and expertise in the domain area of Artificial Intelligence and Data Science augments the learning capabilities of the students and facilitate them to understand the fundamental concepts through innovative methods of teaching. The Department of Artificial Intelligence and Data Science has laboratories with high-end processing systems with seamless Wi-Fi connectivity, essential software and tools which helps the students to unleash their curiosity to practically implement the methods, algorithms learned in theory classes and analyze the results.
Vision
To achieve excellence in educational programming, industry collaboration, research and innovation in the field of data science and artificial intelligence.
Mission
- To empower the cognitive skills in the students by enhancing knowledge in the artificial intelligence domain.
- To facilitate data science technology and professionalism through value added courses and collaborative learning.
The PEOs of UG Programme
-
PEO1: Core Competence: Graduates will demonstrate their technical skills and
competency
in various applications through the use of Artificial Intelligence and Data Science
-
PEO2: Successful Career: Graduates will establish their knowledge by adopting
Artificial
Intelligence and Data Science technologies to solve the real world problems
-
PEO3: Ethics and life-long learning: Graduates will engage in lifelong learning to
excel
in their profession with social awareness and responsibility
The POs of UG Programme
-
PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering
fundamentals, and an engineering specialization to the solution of complex
engineering
problems.
-
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.
-
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.
-
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.
-
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
-
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.
-
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.
-
PO8: Ethics: Apply ethical principles and commit to professional ethics and
responsibilities and norms of the engineering practice.
-
PO9: Individual and team work: Function effectively as an individual, and as a
member or leader in diverse teams, and in multidisciplinary settings
-
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
-
PO11: 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.
The PSOs of UG Programme
Engineering Graduates will be able to:
-
PSO1: Develop IT infrastructure: Ability to design, implement and apply
computational
skills related to Artificial Intelligence and Data Science
-
PSO2: Design / Develop software products: Ability to apply tools and techniques to
provide successful solutions in the multidisciplinary field
- PSO3: Innovative Career: Ability to critique the role of information and analytics
for a
innovative career, research activities and consultancy.
Contact Details
From the HoD's Desk
Dr.S.Sarumathi
Professor & Head
AICTE Faculty ID: 1-461760305 | College ID: CTITF002
LinkedIn Profile | IRINS Profile | Profile
[email protected], [email protected]
Dr. S. Sarumathi is a Professor & Head in the Department of Artificial Intelligence and Data Science, K.S. Rangasamy College of Technology. She has received her M.E and Ph.D. degree from Anna University, Chennai. She has a teaching experience of 27 plus years in total. Her research interests include Data Mining, Data Science, IoT and Networking. She is currently mentoring MSME funded project focusing on healthcare systems and its challenges in the Internet of Medical Things. She has published more than 25 papers in International Refereed Journals and 10 papers in Conferences. She has authored 2 book chapters, 2 books and 4 patents. She is involved in many International Conferences as Technical Chair. She is an active member of ISTE.
Faculty List
Our Intellectuals
Dr.K.Sakthivel
Professor
Image Processing , Data Mining Techniques
Dr.M.Tamilarasi
Associate Professor
Full Stack, Data Science
Mr.N.Giridharan
Assistant Professor
Blockchain, Automation, IoT
Mr.S.Raja
Assistant Professor
Data Mining,Networking
Mrs.I.Kalaimani
Assistant Professor
Programming, Data Science
Mrs.P.Indhumathi
Assistant Professor
Networking,Python,IOT.
Mrs.T.Udhaya
Assistant Professor
Data Mining
Mr.J.Karthick
Assistant Professor
Programming, Data Structures, Web Development.
Our Non-Teaching staffs
Curriculum & Syllabi
Teaching and Learning
Industry Supported Courses
| S.No. | Date | Name Of Course | Industry Associated |
|---|---|---|---|
| 1. | 21-09- 2024 | Machine Learning | Guvi Geek Network Pvt., Ltd., Chennai |
Value Added Courses
| S.No. | Date | Name Of Course | Industry Associated |
|---|---|---|---|
| 1. | 21-08-2025 | Cloud and Web Hosting with AWS | Green Technologies, Chennai |
| 3. | 25-04-2025 | Infosys Springboard (Data Warehousing) | KSRCT, Tiruchengode |
| 2. | 18-04-2025 | MATLAB (AI and Statistics) | KSRCT, Tiruchengode |
Internship
| S.No. | Batch | Duration | No.of Students |
|---|---|---|---|
| 1. | 2022-26 | 06 week | 07 |
| 2. | 04 week | 15 | |
| 3. | 08 week | 08 | |
| 4. | 2021-25 | 04 week | 38 |
| 5. | 06 week | 15 | |
| 6. | 12 week | 16 | |
| 7. | 2020-24 | 08 week | 26 |
| 8. | 10 week | 15 | |
| 9. | 12 week | 12 |
| S.No. | Batch | No.of Students Placed | Percentage | Highest CTC | |
|---|---|---|---|---|---|
| 1. | 2021 - 25 | 35 | 80% | 12,00,000 | View PDF |
| 2. | 2020 - 24 | 48 | 95% | 8,00,000 | View PDF |
| S.No. | Batch | No. of Students |
|---|---|---|
| 1. | 2020 - 24 | 02 |
| S.No. | Acedamic Year | No. of Students | Examination Attended |
|---|---|---|---|
| 1. | 2021-25 | 03 | GATE |
| 2. | 2020-24 | 01 | GATE |
Academic Laboratory
MailId:[email protected]
Class Rooms
| S.No. | Particulars | Count |
|---|---|---|
| 1. | Ph.D. Doctorates | 3 |
| 2. | Ph.D. Supervisor | 1 |
| 3. | Ph.D. Pursuing | 6 |
| S.No. | Academic Year | Name of the Funding Agency | Title of the proposal/ Project | Investigator(s) | Amount Sanctioned (Rs.) | Duration | Sanction Order No. | Status |
|---|---|---|---|---|---|---|---|---|
| 1. | 2023-24 | MSME | An automated chronic disease management system for cardiac detection and prevention on emergency using Internet of Medical Things | Dr.S.Sarumathi | 9,18,000 | 2 Years | 23-24/001/MD | Ongoing |
| 2. | 2022-23 | AU-CFD | Problem Solving and Python Programming | Dr.S.Sarumathi | 30,000 | 1 Year | 22-23/001/MD | Completed |
| S.No. | Academic Year | Agency | Title of Project | Amount |
|---|---|---|---|---|
| 1. | 2023-24 | Naan Mudhalvan | AI Healthcare Recommender | 10,000 |
| 2. | 2023-24 | IITM Research Park | Interactive Tactile Book | 25,000 |
| S.No. | Academic Year | Book Chapters | Journals | Conference |
|---|---|---|---|---|
| International | International | |||
| 1. | 2024-25 | 06 | 07 | 07 |
| 2. | 2023-24 | 02 | 03 | 13 |
| 3. | 2022-23 | 02 | 03 | 06 |
| S.No. | Academic Year | Patents | Copyrights | |||
|---|---|---|---|---|---|---|
| Filed | Published | Granted | Filed | Granted | ||
| 1. | 2024-25 | 06 | 06 | - | - | - |
| 2. | 2023-24 | 05 | 05 | - | - | - |
| S.NO. | Date of Signing | Organization | Validity |
|---|---|---|---|
| 2025-26 | |||
| 1. | 14.07.2025 | Certainity AI | 3 Years |
| 2. | 16.07.2025 | iGradAI Labs | 3 Years |
| 2024-25 | |||
| 1. | 07.08.2024 | Guvi Geek Network Pvt. Ltd. Chennai | 3 Years |
| Academic Year | No of Participation | No of Students Won prizes |
|---|---|---|
| 2025-26 | 66 | 7 |
| 2024-25 | 35 | 4 |
| 2023-24 | 15 | 2 |
| Academic Year | No of Participation | No of Students Won prizes |
|---|---|---|
| 2025-26 | 22 | 9 |
| 2023-24 | 5 | 3 |
| 2022-23 | 7 | 2 |
Events Happened
| S.No. | Date | Event | Title of the Event |
|---|---|---|---|
| 1. | 14.02.2024 & 15.02.2024 | Workshop | Snap AR Bootcamp |
| 2. | 28.03.2025 | Workshop | RPA |
| 3. | 09.08.2025 | Guest Lecture | Innovation in Agile |
ARTIFICIX Association
About Association
The Department of Artificial Intelligence and Data Science at K.S. Rangasamy College of Technology proudly inaugurated its vibrant student association, ARTIFICIX (Artificial Intelligence and Data Science Association). This momentous occasion was honored by the presence of the respected Head of the Department Dr. S. Sarumathi, whose inspiring words highlighted the vision of nurturing innovation, creativity, and excellence among students. ARTIFICIX is the student association of the Department of Artificial Intelligence and Data Science. The association aims to enhance the technical skills and knowledge of students through various activities such as workshops, seminars, hackathons, and coding competitions. It also provides a platform for students to showcase their talents and network with industry professionals. The association is committed to fostering a culture of innovation and creativity among students and preparing them for successful careers in the field of Artificial Intelligence and Data Science.
- Office Bearers:
- Faculty President: Mr.S.Raja, AP/AI&DS
- Orientation Program For First Year:
| S.No. | Date | Event | Title of the Event |
|---|---|---|---|
| 1. | 08.02.2025 | Hands-on Training | C and PYTHON Programming, Quiz based on C, Quiz based on Python, Exploring AI tools, Introduction to UI/UX Design, Fun games and Feedback session |
| 2. | 15.02.2025 | Hands-on Training | PYTHON Programming, Online Quiz, Group Discussion, Debug the error, Ice Breaker, Non-Technical events and Feedback |
| 3. | 22.02.2025 | Hackthon | Introduction to web development, Online Quiz |
ACHIEVEMENTS
| S.No. | Academic Year | Date | Industry Visited |
|---|---|---|---|
| 1. | 2024-25 | 04.04.2025 | Softzane Solutions, Kerala |
| 2. | 2024-25 | 18.10.2024 | Mysuru - Silver Spirit Tech Park |
| 3. | 2024-25 | 06.10.2024 | Iroid Technology ,Kochi |
| 4. | 2023-24 | 06.10.2023 | Kayyath,Erunakulam, Kerala |
| 5. | 2023-24 | 05.09.2023 | Kaynes Technologies India Limited,Badanaguppe, Karnataka |
| 6. | 2022-23 | 26.11.2022 | Codingmart Technologies,Coimbatore |
