
Department of Artificial Intelligence and Data Science
About the Department
The Department of Artificial Intelligence and Data Science (AI&DS), established in 2020, is dedicated to preparing students for the evolving landscape of intelligent systems and data-driven decision-making. The department emphasizes interdisciplinary learning, combining theoretical foundations with practical skills in AI, Machine Learning, Data Science, and related technologies.

Curriculum
The AI&DS curriculum is designed to blend computer science, data science, machine learning, mathematics, and domain-specific applications. Students receive training in key areas such as:
- Machine Learning and Deep Learning
- Natural Language Processing
- Computer Vision
- Big Data Analytics
- Cloud Computing
- Ethical AI Practices
The department fosters hands-on learning through industry projects, research opportunities, hackathons, workshops, and internships. This approach aims to produce competent AI professionals capable of addressing real-world challenges responsibly.
Placement Highlights
The department boasts a strong placement record, attributed to its future-ready curriculum and active industry engagement. Key placement statistics include:
- Placement Rate: Consistently over 90% in recent batches
- Top Salary Package: ₹12 LPA (offered by Content stack)
- Average Salary Package: ₹4.5 – ₹7 LPA
- Internship-to-Placement Conversion: Approximately 50% for pre-final year students
Career Opportunities
Graduates from the AI&DS department have secured roles such as:
- AI Engineer
- Software Engineer (AI/ML Specialization)
- Data Scientist
- Machine Learning Developer
- Data Analyst
- Business Intelligence Developer
- Cloud and DevOps Engineer
Training & Career Development
To ensure students are well-prepared for campus recruitment, the department collaborates with the Placement Cell to offer:
- Aptitude and coding practice sessions
- Mock interviews and group discussions
- Technical workshops and bootcamps
- Industry-specific webinars and guest talks
- Career counselling and mentorship
Department Vision and Mission

Vision
Applying Data Science abilities and analytical expertise to heterogeneous areas using AI.
Mission
- Understand Data Science: Combine programming, mathematics, and business knowledge to tackle real-world challenges.
- Applying Acquired Knowledge: Foster innovation and creativity in students to work across diverse domains.
- Capstone Project: Facilitate industry collaborations for capstone projects.
- Be Socially Beneficial and Ethical: Ensure ethical principles and societal benefits in application development.
- Continuous Learning: Promote ongoing AI and Data Science learning to encourage initiative and enterprise focus.
Programme Outcomes (POs)
PO1: Engineering Knowledge:
Apply math, science, and engineering fundamentals to solve complex problems.
PO2: Problem Analysis:
Identify and analyze complex engineering problems using foundational principles.
PO3: Design and Development of Solutions:
Design systems and processes considering health, safety, and environmental factors.
PO4:Instigations of Complex Problems:
Use research methods to provide valid conclusions.
PO5: Modern Tool Usage:
Apply modern tools and techniques to complex engineering tasks.
PO6: The Engineer and Society:
Assess societal, health, safety, legal, and cultural issues in engineering practice.
PO7: Environment and Sustainability:
Understand the impact of engineering solutions on society and the environment and promote sustainable development.
PO8: Ethics:
Commit to professional ethics and responsibilities.
PO9: Individual and Team Work:
Work effectively and in diverse, multidisciplinary teams.
PO10: Communication:
Communicate effectively with the engineering community and society.
PO11: Project Management and Finance:
Apply engineering and management principles to project management.
PO12: Life – long Learning:
Engage in independent, life-long learning in the context of technological change.
Programme Educational Objectives (PEOs)
PEO1: Acquiring the Data
Develop skills to extract data from diverse domains.
PEO2: Information Inferring and Knowledge Representation
Equip students with programming skills to apply inferred data in real-time scenarios.
PEO3: Design Method
Enable students to design Machine Learning algorithms and develop programming skills for data analysis.
PEO4: Systematic Enhancement
Provide knowledge of current trends and enhance existing applications for future scenarios.
Programme Specific Outcomes (PSOs)
PSO1: Mathematical Foundation and Data Procuring
Apply mathematical concepts to data from various sources.
.
PSO2: Intellect Applications and Research Technologies
Use technical concepts and emerging technologies in AI to solve real-time data analytics applications.
PSO3: Development of Real-Time Applications
Utilise acquired knowledge to collaborate with industries on capstone projects.
Welcome Message
As the Head of our creative AI & DS Department, I am excited to share our cutting-edge
Programmes and Research. We specialise in Machine Learning, Natural Language
Processing, Computer Vision, and Robotics, preparing students and professionals to flourish
in AI.
Sri Manakula Vinayagar Engineering College promotes collaboration, critical thinking, and
ethical ideals. Our skilled instructors help students through outstanding projects, which have
resulted in several accolades.
Our Undergraduate and Postgraduate programmes provide a solid foundation and advanced
specialisations, all supported by cutting-edge facilities and resource for success. We stand at
the forefront of innovation, research, and technology, preparing students to lead in a world
shaped by intelligent systems and data-driven decisions. Our department is dedicated to
nurturing talent, encouraging curiosity, and driving solutions that make a real-world impact.

Department of Artificial Intelligence and Data Science
Contact Details: 9003739274
Email ID: [email protected]
Programs
Department of Artificial Intelligence and Data Science
Our Department of Artificial Intelligence and Data Science at Sri Manakula Vinayagar Engineering College offers a B.Tech in Artificial Intelligence and Data Science and an M.Tech in Artificial Intelligence and Data Science, focusing on advanced AI and machine learning applications.
Placements

Achievements
We are pleased to highlight the excellent achievements of our Department of Artificial Intelligence and Data Science. Our students and staff have excelled in academics, research, and industry relationships, receiving prizes, grants, and accolades. These successes demonstrate our commitment to quality and innovation in AI and data sciences.
Faculty
Introducing our excellent faculty members from the Department of Artificial Intelligence and Data Science. Our team of professionals is committed to offering outstanding education and pioneering research in cutting-edge AI and data science technologies.
Infrastructure
At the Department of Artificial Intelligence and Data Science, we believe that world-class education requires world-class infrastructure. Our facilities are designed to foster creativity, innovation, and experiential learning. Our Research and Innovation Centre encourages students to collaborate on cutting-edge technologies, while our well-stocked digital library ensures seamless access to the latest knowledge and resources in the field.
We house advanced AI and Data Science laboratories equipped with high-performance computing resources, dedicated IoT and Robotics labs for real-world project development, and smart classrooms featuring modern digital learning tools.
Laboratories
- DATA SCIENCE LABORATORY
- COMPUTER PROGRAMMING LABORATORY
- MACHINE LEARNING LABORATORY
- ARTIFICIAL INTELLIGENCE LABORATORY
- ROBOTIC AND AUTOMATION LABORATORY
System Configuration
- Computer
- UPS
- Printer
- Scanner
- Switch
- Server
- Router
- Internet
- Network Topology
- Miscellaneous: DEL Kits, MIL Kits
Events
Exploring Innovation in Civil Engineering: Seminar on Instrumentation and Sensor Applications

If you have any inquiries regarding the department, please feel free to reach out to us. We are here to assist you with any questions or information you may need.
Dr.J. Madhusudanan, Professor & Head,
Department of Artificial Intelligence and Data Science