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.
Teaching Faculty
| Sl.No. | Name of Faculty | Designation | Qualification |
|---|---|---|---|
| 1. | AKILAN. A | ASSISTANT PROFESSOR | M.E., MISTE. |
| 2. | GUNASEKARAN. R | ASSISTANT PROFESSOR | M.E. |
| 3. | VINOTH. M | ASSISTANT PROFESSOR | M.E. |
| 4. | PRIYA. R | ASSISTANT PROFESSOR | M.E. |
| 5. | SENTHIL MURUGAN. S | ASSISTANT PROFESSOR | M.E. |
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.
Teaching Faculty
| Sl.No. | Name | Designation | Qualification |
|---|---|---|---|
| 1. | AKILAN. A | ASSISTANT PROFESSOR | M.E., MISTE. |
| 2. | GUNASEKARAN. R | ASSISTANT PROFESSOR | M.E. |
| 3. | VINOTH. M | ASSISTANT PROFESSOR | M.E. |
| 4. | PRIYA. R | ASSISTANT PROFESSOR | M.E. |
| 5. | SENTHIL MURUGAN. S | ASSISTANT PROFESSOR | M.E. |