B.Tech – Artificial Intelligence and Data Science (AIDS)
Intelligent Systems for a Data-Driven World
The Department of Artificial Intelligence and Data Science at MRK Institute of Technology equips students with cutting-edge knowledge and hands-on skills in intelligent computing, data analytics, and emerging technologies. This interdisciplinary programme blends computer science, mathematics, machine learning, and statistical methods to prepare students for the rapidly evolving AI-driven world.
The curriculum focuses on machine learning, deep learning, natural language processing, big data technologies, data visualization, cloud computing, and AI-based application development. Through practical sessions, industry projects, internships, and research exposure, students gain expertise in solving real-world problems using intelligent algorithms and data-driven strategies. The department encourages innovation and entrepreneurship by providing access to high-performance computing facilities, AI tools, and collaborative learning environments. Graduates are well-prepared for careers in data science, AI development, data engineering, research, and advanced analytics across multiple industries.
To provide strong foundational knowledge in mathematics, computer science, AI concepts, and data science methodologies.
To enable students to design, develop, and implement intelligent systems using machine learning and deep learning techniques.
To impart skills in handling, analyzing, and visualizing large datasets using modern tools and technologies.
To encourage innovation, critical thinking, and research in AI-driven solutions.
To develop communication, teamwork, leadership, and ethical responsibility required for careers in advanced technology domains.
PEO 1: Professional Excellence
Graduates will excel in professional careers related to Artificial Intelligence, Data Science, and allied computing fields.
PEO 2: Continuous Learning
Graduates will pursue lifelong learning, research, and higher education to adapt to evolving AI technologies.
PEO 3: Professional Skills
Graduates will demonstrate ethical values, effective communication, teamwork, and leadership in professional environments.
PEO 4: Societal Contribution
Graduates will contribute to society through innovative and intelligent solutions that enhance productivity, efficiency, and sustainability.
Mrs. T. Kalaiyarasi
M.E., (Ph.D)
Head / Department of CSE - Artificial Intelligence and Data Science
Mrs. T. Kalaiyarasi is the Head of the Department of Artificial Intelligence and Data Science. She is responsible for overseeing the academic activities, maintaining discipline, and driving the overall achievements of the department.
She obtained her Bachelor's degree in Computer Science and Engineering from Anna University, Trichy, and completed her Master's degree in Computer Science and Engineering from PRIST University, Thanjavur.
Mrs. T. Kalaiyarasi has more than Ten years of teaching experience in professional education. Her areas of interest include Programming in C, Theory of Computation, Object-Oriented Programming, Object-Oriented Software Engineering, Design and Analysis of Algorithms, Computer Networks, Data Structure, Compiler Design and Python.
She is a Life Member of the Indian Society for Technical Education (ISTE) and is actively involved in academic development and student mentoring.
Teaching Faculty
| Sl.No. | Name of Faculty | Designation | Qualification |
|---|---|---|---|
| 1 | Mr. AKILAN A | Assistant Professor | M.E., MISTE |
| 2 | Mr. GUNASEKARAN R | Assistant Professor | M.E. |
| 3 | Mr. VINOTH M | Assistant Professor | M.E. |
| 4 | Mrs. PRIYA R | Assistant Professor | M.E. |
| 5 | Mr. SENTHIL MURUGAN S | Assistant Professor | M.E. |
Non Teaching Staff
| Sl.No | Name of Faculty | Designation | Qualification |
|---|---|---|---|
| 1 | Mr. THINAGAR S | LAB INCHARGE | M.B.A |
The Department of Artificial Intelligence and Data Science at MRK Institute of Technology equips students with cutting-edge knowledge and hands-on skills in intelligent computing, data analytics, and emerging technologies. This interdisciplinary programme blends computer science, mathematics, machine learning, and statistical methods to prepare students for the rapidly evolving AI-driven world.
The curriculum focuses on machine learning, deep learning, natural language processing, big data technologies, data visualization, cloud computing, and AI-based application development. Through practical sessions, industry projects, internships, and research exposure, students gain expertise in solving real-world problems using intelligent algorithms and data-driven strategies. The department encourages innovation and entrepreneurship by providing access to high-performance computing facilities, AI tools, and collaborative learning environments. Graduates are well-prepared for careers in data science, AI development, data engineering, research, and advanced analytics across multiple industries.
To provide strong foundational knowledge in mathematics, computer science, AI concepts, and data science methodologies.
To enable students to design, develop, and implement intelligent systems using machine learning and deep learning techniques.
To impart skills in handling, analyzing, and visualizing large datasets using modern tools and technologies.
To encourage innovation, critical thinking, and research in AI-driven solutions.
To develop communication, teamwork, leadership, and ethical responsibility required for careers in advanced technology domains.
PEO 1: Professional Excellence
Graduates will excel in professional careers related to Artificial Intelligence, Data Science, and allied computing fields.
PEO 2: Continuous Learning
Graduates will pursue lifelong learning, research, and higher education to adapt to evolving AI technologies.
PEO 3: Professional Skills
Graduates will demonstrate ethical values, effective communication, teamwork, and leadership in professional environments.
PEO 4: Societal Contribution
Graduates will contribute to society through innovative and intelligent solutions that enhance productivity, efficiency, and sustainability.
Mrs. T. Kalaiyarasi
M.E., (Ph.D)
Head / Department of CSE - Artificial Intelligence and Data Science
Mrs. T. Kalaiyarasi is the Head of the Department of Artificial Intelligence and Data Science. She is responsible for overseeing the academic activities, maintaining discipline, and driving the overall achievements of the department.
She obtained her Bachelor's degree in Computer Science and Engineering from Anna University, Trichy, and completed her Master's degree in Computer Science and Engineering from PRIST University, Thanjavur.
Mrs. T. Kalaiyarasi has more than Ten years of teaching experience in professional education. Her areas of interest include Programming in C, Theory of Computation, Object-Oriented Programming, Object-Oriented Software Engineering, Design and Analysis of Algorithms, Computer Networks, Data Structure, Compiler Design and Python.
She is a Life Member of the Indian Society for Technical Education (ISTE) and is actively involved in academic development and student mentoring.
Teaching Faculty
| Sl.No. | Name | Designation | Qualification |
|---|---|---|---|
| 1 | Mr. AKILAN A | Assistant Professor | M.E., MISTE |
| 2 | Mr. GUNASEKARAN R | Assistant Professor | M.E. |
| 3 | Mr. VINOTH M | Assistant Professor | M.E. |
| 4 | Mrs. PRIYA R | Assistant Professor | M.E. |
| 5 | Mr. SENTHIL MURUGAN S | Assistant Professor | M.E. |
Non Teaching Staff
| Sl.No | Name of Faculty | Designation | Qualification |
|---|---|---|---|
| 1 | Mr. THINAGAR S | LAB INCHARGE | M.B.A |