Artificial Intelligence & Data Science Engineering
Unleashing the Power of Data through Intelligent Algorithms.
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Artificial Intelligence & Data Science
To emerge as a hub of innovation in Artificial Intelligence and Data Science by fostering multidisciplinary education, research, and industry collaboration, integrating emerging technologies to address real-world challenges
- PEO 1: Impart multidisciplinary education in Artificial Intelligence and Data Science, equipping students with strong theoretical foundations, practical competencies, and an innovative mindset.
- PEO 2: Encourage research and create applications of emerging technologies for developing effective solutions to real-world challenges
- PEO 3: Foster industry collaboration and entrepreneurship, and preparing students to become competent professionals, leaders in a technology-driven society.
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: 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.
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.
| PSO1 | Graduates will leverage Artificial Intelligence and Data Science techniques, including Machine Learning, Deep Learning, Data Analytics and Visualization, to create adaptive, innovative, and value-driven solutions across |
| PSO2 | Graduates will employ modern AI frameworks, data-driven platforms, and computational tools responsibly, with a focus on sustainability, entrepreneurship, and societal commitment |
Lab Facilities
Data Structures Design Laboratory
Artificial Intelligence Laboratory
Database Design and Management Laboratory
Data Science and Analytics Laboratory
Machine Learning Laboratory
Deep Learning Laboratory
VERTICALS OFFERED
Vertical I : Verticals for AIDS I
Vertical II : Full Stack Development for IT
Vertical III : Cloud Computing and Data Center Technologies
Vertical IV : Cyber Security and Data Privacy
Vertical V : Creative Media
Vertical VI : Emerging Technologies
Vertical VII : Verticals for AIDS II
Faculty Details
| S. No | Faculty ID | Title | Faculty Name | Designation | Course Type | Course Name |
|---|---|---|---|---|---|---|
| 1 | 274698 | Ms | AJINA.H | Assistant Professor | B.Tech. | Artificial Intelligence and Data Science |
| 2 | 286085 | Mrs | AKILESHWARI.R | Assistant Professor | B.Tech. | Artificial Intelligence and Data Science |
| 3 | 285077 | Dr | ANANTHI.J | Associate Professor | B.Tech. | Artificial Intelligence and Data Science |
| 4 | 280041 | Dr | ANNAPOORANI.B | Associate Professor | B.Tech. | Artificial Intelligence and Data Science |
| 5 | 292936 | Ms | ARCHANA.S | Assistant Professor | B.Tech. | Artificial Intelligence and Data Science |
| 6 | 274589 | Dr | ARULMOZHI.V | Associate Professor | B.Tech. | Artificial Intelligence and Data Science |
| 7 | 269374 | Ms | G.RADHA | Assistant Professor | B.Tech. | Artificial Intelligence and Data Science |
| 8 | 311254 | Ms | GOWTHAMI.B | Assistant Professor | B.Tech. | Artificial Intelligence and Data Science |
| 9 | 312613 | Mrs | KAMATCHI.G | Assistant Professor | B.Tech. | Artificial Intelligence and Data Science |
| 10 | 282869 | Ms | MYTHILY.S | Assistant Professor | B.Tech. | Artificial Intelligence and Data Science |
| 11 | 322653 | Mr | PARTHIBAN.M | Assistant Professor | B.Tech. | Artificial Intelligence and Data Science |
| 12 | 269219 | Mrs | RAJATHI.S | Assistant Professor | B.Tech. | Artificial Intelligence and Data Science |
| 13 | 281948 | Mrs | RESHMA NIZAR.AHAMED | Assistant Professor | B.Tech. | Artificial Intelligence and Data Science |
| 14 | 317126 | Ms | ROSALIN NANCY.R | Assistant Professor | B.Tech. | Artificial Intelligence and Data Science |
| 15 | 323391 | Ms | SNEGA PRIYANKA.J S | Assistant Professor | B.Tech. | Artificial Intelligence and Data Science |
| 16 | 322437 | Ms | SUGANYA.N | Assistant Professor | B.Tech. | Artificial Intelligence and Data Science |
| 17 | 266108 | Dr | THAMIL SELVI.C P | Professor | B.Tech. | Artificial Intelligence and Data Science |
| 18 | 323956 | Ms | VANITHA.A | Assistant Professor | B.Tech. | Artificial Intelligence and Data Science |








