Department of Artificial Intelligence and Data Science

About the Department

Sri Manakula Vinayagar Engineering College will launch a new undergraduate programme in artificial intelligence and data science. This programme will prepare students for careers in these rapidly expanding industries by teaching the most recent AI and data science techniques and their real-world applications. Students will learn how to design intelligent machines, software, and applications and leverage data to predict and solve problems.

The programme also emphasises essential job skills, including teamwork, effective communication, and creative problem-solving. The National Board of Accreditation (NBA) has accredited the programme, available in Tamil and English. It equips students with cutting-edge AI, data analytics, and visualisation technologies, preparing them for dynamic careers in the era of Industry 4.0, where automation is critical.

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 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 AI foundation and advanced specialisations, all supported by cutting-edge facilities and resources for success.

Dr.J. Madhusudanan

Professor & Head,
Department of Artificial Intelligence and Data Science

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

Our notable students have secured positions in leading corporations, demonstrating their talent and the excellence of our programmes. Our extensive industry relationships and devoted placement help ensure our graduates have outstanding employment options.

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

Our cutting-edge laboratories are outfitted with modern systems and configurations to facilitate cutting-edge research and education in Artificial Intelligence and Data Science.