Counselling Code: 2719
The Department of Artificial Intelligence and Data Science, established in 2020, is committed to nurturing future-ready professionals through a strong blend of academic excellence, advanced infrastructure, and deep industry integration. At its inception, the department was supported by Robert Bosch Pvt. Ltd. as a Knowledge Partner, laying a strong foundation aligned with industry needs.The department houses a Centre of Excellence in Artificial Intelligence and Robotics, sponsored by Craftsman Automation, which is equipped with state-of-the-art NVIDIA GPU infrastructure and Jetson Orin kits to support cutting-edge research and hands-on learning in AI, deep learning, and robotics.A key highlight of the department is its association with Cognizant Technology Solutions through the Digital Nurture Partner Network (NPN) program, which equips students with industry-relevant digital skills and enhances their employability. The department has also signed an MoU with GUVI HCL, through which selected core courses across semesters are designed and delivered in collaboration with industry experts. Programming courses are offered through the NeoColab platform, enabling experiential and practice-oriented learning.To further strengthen its academic–industry ecosystem, the department has established MoUs with Resilience Business Grids LLP (RBG.AI), ConnectIndia Pty Ltd, Melbourne (Australia), and Selsoft. These collaborations support curriculum development, internships, live projects, faculty development, and specialized domains such as Intelligent Systems.Faculty members actively engage in consultancy projects with reputed organizations such as L&T Technology Services Ltd. and UI Bridge Solutions Pvt. Ltd., while students gain valuable industry exposure through internships at leading companies including Bosch Global Software Technologies Pvt. Ltd., L&T Technology Services Ltd., Edsols Innovations Pvt. Ltd., Code Magen, and Soliton. Students have consistently excelled in corporate-level hackathons, earning prestigious awards and cash prizes, and also excel in co-curricular and extra-curricular activities. The department is further enriched by global expertise through Dr. Suresh Rajappa, Executive Director, KPMG LLP, USA, who serves as Adjunct Faculty. Overall, the department offers a vibrant ecosystem that fosters innovation, industry relevance, and academic excellence in Artificial Intelligence and Data Science.
The Department of Artificial Intelligence and Data Science, established in 2020, is committed to nurturing future-ready professionals through a strong blend of academic excellence, advanced infrastructure, and deep industry integration. At its inception, the department was supported by Robert Bosch Pvt. Ltd. as a Knowledge Partner, laying a strong foundation aligned with industry needs.The department houses a Centre of Excellence in Artificial Intelligence and Robotics, sponsored by Craftsman Automation, which…
Dr. V. Karpagam is a Professor and Head of the Department of Artificial Intelligence and Data Science at Sri Ramakrishna Engineering College, Coimbatore, with over 27 years of academic experience. She holds a Ph.D. in Information and Communication Engineering from Anna University, Chennai, along with a Master’s degree in Software Engineering and a Bachelor’s degree in Computer Science and Engineering. She is a recognized Anna University Research Supervisor and is…Readmore
Let SREC be a stepping stone of your success.
VISION
To achieve excellence
in the domain of Artificial Intelligence and Data Science and produce globally
competent professionals providing
multidisciplinary, sustainable solutions for societal challenges and industrial
needs.
MISSION
M1:To deliver quality education to develop ethical and sustainable intelligent solutions for
interdisciplinary domains.
M2:To promote research, innovation, and entrepreneurship through collaboration with
industry and academia.
M3:To foster leadership and lifelong learning for professional and societal advancement.
PEO 1: Demonstrate professional and research competence using combined
knowledge in Mathematics, Computing, Artificial Intelligence and Data Science
PEO 2: Apply knowledge and skills in Artificial Intelligence and Data Science to
develop innovative, sustainable and ethically responsible solutions to complex,
multidisciplinary problems
PEO 3: Engage in constructive research, professional growth and lifelong
learning by effectively applying emerging technological expertise
Program Outcomes as stated by NBA: Engineering Graduates will be able to
PO1: Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).
PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
PO6: The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).
PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences
PO10: Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
PO11: Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)
PSO1: Develop sustainable intelligent solutions to address complex challenges posed by industry and society.
PSO2: Demonstrate data analysis skills to achieve effective insights and decision making to solve real-life problems.
PSO3: Apply mathematical and statistical techniques to model real-world problems using appropriate AI algorithms.
25-Nov-23
21-Mar-25
07-Jun-24
15-Jul-24
20-Sep-24
14-Feb-25
