Artificial Intelligence and Data Science
Shaping the future with intelligent systems and data-driven insights for tomorrow's digital world
Department of Artificial Intelligence and Data Science
The Department of Artificial Intelligence and Data Science at SVHEC is at the forefront of emerging technologies, preparing students for careers in AI, machine learning, data analytics, and intelligent systems. Our program combines theoretical foundations with practical applications in deep learning, natural language processing, computer vision, and big data analytics.
About the Department
The Department of Artificial Intelligence and Data Science was established in 2020 as one of the newest and most innovative departments, responding to the growing demand for AI and data science professionals. Our program provides comprehensive education in machine learning, deep learning, data analytics, natural language processing, computer vision, and intelligent systems development.
Vision
"To be a leading department in AI and data science education, producing innovative professionals who can develop intelligent solutions and drive digital transformation across industries."
Mission
- Provide cutting-edge education in artificial intelligence and data science with emphasis on practical applications
- Foster research and innovation in AI, machine learning, and big data analytics
- Develop industry-ready professionals with strong problem-solving and analytical skills
- Contribute to society through intelligent solutions and data-driven decision making
4 Years
Program Duration
120
Annual Intake
98%+
Placement Rate
AICTE
Approved
Academic Curriculum
Our curriculum is designed to provide comprehensive knowledge in AI and data science fundamentals while incorporating the latest advancements in machine learning, deep learning, and intelligent systems.
Year-wise Course Structure
First Year - Foundation
- Engineering Mathematics - I & II
- Engineering Physics
- Engineering Chemistry
- Programming for Problem Solving
- Data Structures and Algorithms
- Engineering Graphics
- English Communication
- Environmental Science
Second Year - Programming & Statistics
- Python Programming
- Statistics for Data Science
- Database Management Systems
- Discrete Mathematics
- Object Oriented Programming
- Linear Algebra
- Data Visualization
- Web Technologies
Third Year - Core AI & ML
- Machine Learning
- Deep Learning
- Natural Language Processing
- Computer Vision
- Big Data Analytics
- Data Mining
- Artificial Intelligence
- Cloud Computing
Fourth Year - Advanced & Specialization
- Reinforcement Learning
- Generative AI
- MLOps and Model Deployment
- Ethics in AI
- AI in Healthcare/Finance/Retail
- Capstone Project
- Industry Internship
- Professional Electives
Our Faculty Team
Our department features a dynamic team of faculty members with expertise in AI, machine learning, data science, and emerging technologies.
Dr. Arvind Kumar
Head of Department & Professor
Qualification: Ph.D. in Machine Learning, IISc Bangalore
Experience: 15+ years in teaching and research
Specialization: Machine Learning, Deep Learning
Publications: 40+ research papers in top-tier AI conferences
Prof. Sneha Sharma
Professor
Qualification: Ph.D. in Data Science, IIT Bombay
Experience: 12+ years in academia and industry
Specialization: Big Data Analytics, Data Mining
Publications: 35+ research papers
Dr. Rajesh Patel
Associate Professor
Qualification: Ph.D. in Computer Vision, NIT Warangal
Experience: 11+ years
Specialization: Computer Vision, Image Processing
Publications: 28+ research papers
Prof. Kavya Nair
Associate Professor
Qualification: M.Tech in AI, Ph.D. pursuing
Experience: 8+ years
Specialization: Natural Language Processing, Chatbots
Publications: 18+ research papers
Faculty Achievements
- Best Paper Awards at top AI conferences like NIPS, ICML, and AAAI
- Research grants from Google, Microsoft, and government funding agencies
- Industry collaborations with leading tech companies
- Editorial board members of AI and data science journals
Department Facilities
AI Research Laboratory
High-performance computing cluster with GPUs, specialized for training deep learning models and running AI algorithms.
Data Science Laboratory
Advanced lab with big data tools, cloud computing access, and data visualization platforms for comprehensive data analysis.
Machine Learning Laboratory
Equipped with latest ML frameworks, AutoML tools, and model deployment platforms for hands-on learning.
Computer Vision Laboratory
Specialized lab with high-resolution cameras, image processing hardware, and computer vision development tools.
NLP and Chatbot Laboratory
Dedicated lab for natural language processing research with language models and conversational AI development tools.
Cloud AI Platform
Access to AWS, Google Cloud, and Azure AI services for scalable machine learning and model deployment.
Software and Tools
- Python (TensorFlow, PyTorch, Scikit-learn)
- R Programming
- Jupyter Notebooks
- Apache Spark
- Hadoop
- Tableau, Power BI
- Kubernetes, Docker
- MLflow, Kubeflow
- OpenCV
- NLTK, spaCy
Research Activities
Research Areas
Machine Learning & Deep Learning
Advanced algorithms, neural networks, reinforcement learning, generative models
Big Data Analytics
Data mining, predictive analytics, real-time analytics, distributed computing
Computer Vision
Image recognition, object detection, medical imaging, autonomous systems
Natural Language Processing
Language models, sentiment analysis, machine translation, conversational AI
Ongoing Research Projects
- AI-powered Healthcare Diagnosis System: DST funded - ₹20 Lakhs
- Smart Agriculture using ML and IoT: AICTE funded - ₹15 Lakhs
- Autonomous Vehicle Navigation System: Industry collaboration - ₹18 Lakhs
- Multilingual Chatbot for Education: Government of Tamil Nadu - ₹12 Lakhs
Recent Publications
- "Deep Learning for Medical Image Analysis: A Comprehensive Survey" - Nature Machine Intelligence
- "Federated Learning for Privacy-Preserving AI" - ICML 2024
- "Transformer Models for Indian Language Processing" - ACL 2024
- "Explainable AI in Financial Risk Assessment" - IEEE Transactions on AI
Student Research Opportunities
- Undergraduate research projects with cutting-edge AI topics
- Participation in AI competitions like Kaggle and hackathons
- Industry internships with AI/ML teams at top companies
- Conference paper publications and patent filings
Placement Statistics
Top Recruiting Companies
- Microsoft
- Amazon
- Netflix
- Nvidia
- Meta (Facebook)
- IBM
- Accenture
- Deloitte
- Fractal Analytics
- Mu Sigma
- Flipkart
Job Roles
- Data Scientist
- Machine Learning Engineer
- AI Research Engineer
- Deep Learning Specialist
- Computer Vision Engineer
- NLP Engineer
- MLOps Engineer
- Data Analyst
- AI Product Manager
- Research Scientist
Placement Preparation
- Coding practice in Python, R, and SQL
- Machine learning algorithm implementation training
- Data science case study solving sessions
- Portfolio development with real-world projects
- Mock interviews with industry data scientists
- Kaggle competition participation and mentoring
Department Activities
Student Clubs and Societies
AI Research Society
Student-led research group focusing on cutting-edge AI projects, paper reading, and collaborative research.
Data Science Club
Hands-on data analysis projects, Kaggle competitions, and data visualization challenges.
ML Innovation Lab
Student lab for machine learning experimentation, model development, and AI solution prototyping.
AI Ethics Forum
Discussion forum on AI ethics, bias in algorithms, and responsible AI development practices.
Technical Events
- AITECH: Annual AI and data science technical symposium
- DataThon: 48-hour data science competition and hackathon
- ML Challenge: Machine learning model building competition
- AI Expo: Student project exhibition and demo day
- TechTalks: Industry expert sessions on latest AI trends
Industry Interactions
- Guest lectures by AI/ML leaders from top tech companies
- Industrial visits to AI research labs and data centers
- Internship programs with leading AI companies
- Industry-sponsored capstone projects
- Alumni mentorship from data scientists and AI engineers
Workshops and Training
- Deep learning frameworks (TensorFlow, PyTorch) workshops
- Cloud AI platforms (AWS, GCP, Azure) training
- MLOps and model deployment bootcamps
- Computer vision and NLP specialized training
- Data visualization and storytelling workshops
- AI research methodology and paper writing sessions
Ready to Join AI and Data Science?
Shape the future with intelligent systems and data-driven solutions. Contact our department for more information about the program and admission process.