B.Tech. Artificial Intelligence & Data Science
B.Tech. Artificial Intelligence & Data Science
Affiliation:
Anna University, Chennai
Duration:
4 Years
About the Department
The Department of Artificial Intelligence & Data Science at Sri Ramakrishna College of Engineering is dedicated to preparing students for the rapidly growing fields of intelligent computing, data-driven decision-making, and advanced automation technologies. Established to address the rising global demand for AI and data science professionals, the department focuses on blending theoretical foundations with practical applications.
Students gain expertise in machine learning, deep learning, data mining, big data analytics, cloud technologies, natural language processing, and predictive analytics. With cutting-edge laboratories, industry-driven curriculum, expert faculty, and strong research opportunities, the department nurtures innovators equipped to design intelligent systems and solve complex real-world problems in healthcare, finance, e-commerce, cybersecurity, and many other emerging domains.
Vision
- To promote ethical guidelines and standards within the AI community and advocates for the integration of ethical considerations into AI research and practice.
- To harness the power of AI to address some of the most pressing societal challenges, such as healthcare, education, environmental sustainability, poverty alleviation, and social justice.
- To foster collaboration and knowledge exchange, the department seeks to leverage diverse perspectives and expertise to advance AI research and applications effectively.
Mission
- Equip individuals with the skills and knowledge needed to work with AI effectively and responsibly.
- Seeks partnerships with academia, industry, government agencies, non-profit organizations, and other stakeholders to exchange knowledge, share resources, and tackle complex challenges collaboratively.
- Supports innovation, protect privacy and security, ensure fairness and transparency, and promote the responsible use of AI technology.
Programme Highlights
- Industry-aligned curriculum covering emerging AI and data science technologies.
- Hands-on training in machine learning, data analytics, neural networks, cloud platforms, and big data tools.
- Real-world project exposure using Python, R, TensorFlow, PyTorch, Hadoop, Spark, and other advanced technologies.
- Student access to advanced computing infrastructure and dedicated AI/ML labs.
- Workshops and seminars conducted by industry experts, data scientists, and researchers.
- Compulsory internships, mini-projects, and capstone projects every year.
- Strong emphasis on coding skills, data visualization, and algorithmic thinking.
- Opportunities for research papers, hackathons, product development, and startup incubation.
- Faculty with specialization in AI, ML, IoT, Data Analytics, Deep Learning, and Cloud Computing.
- Excellent placement pathways in IT, AI, Data Science, FinTech, and global tech companies.
About the Curriculum
The curriculum integrates core computational techniques with applied AI and data science practices.
Advanced / Elective Courses
- Reinforcement Learning
- AI for Healthcare
- Internet of Things (IoT)
- Cybersecurity & AI
- Blockchain Technology
- Business Analytics
- Robotic Process Automation (RPA)
- Computational Intelligence
Skill-Based Components
- Mini projects and lab-based experiments
- Certifications in AWS Cloud, Google Data Analytics, Azure AI, TensorFlow
- Case studies & data analysis competitions
- Internships at IT companies, startups, and research centers
- Final year major project focusing on AI/ML/Data Science applications
Core Subjects
- Python Programming for AI
- Data Structures & Algorithms
- Linear Algebra, Probability & Statistics
- Database Management & SQL
- Machine Learning
- Deep Learning
- Data Mining & Warehousing
- Big Data Analytics
- Cloud Computing
- Natural Language Processing
- Artificial Intelligence Techniques
- Neural Networks
- Pattern Recognition
- Data Visualization
The curriculum ensures a strong foundation in engineering along with practical understanding of medical environments.
Labs & Facilities
- Problem Solving & Python Programming Laboratory
- Programming in C Laboratory
- Data Structures Laboratory
- Object-Oriented Programming Laboratory
- Data Science Laboratory
- Machine Learning & Deep Learning Laboratory
- Big Data Analytics Laboratory
- Cloud Computing Lab
- AI & IoT Innovation Lab
- Project & Research Lab
All labs are equipped with high-performance systems, GPUs for deep learning, licensed software, cloud platforms, and real-time datasets.
Faculty List
Career Pathways
Graduates can build careers in:
- Artificial Intelligence Engineer
- Machine Learning Engineer
- Data Scientist / Data Analyst
- Big Data Engineer
- Cloud Data Engineer
- Business Intelligence Analyst
- Deep Learning Engineer
- NLP Engineer
- Computer Vision Engineer
- Data Consultant / Data Architect
- IoT & Embedded AI Engineer
- AI Product Developer
- Research Associate in AI/ML Labs
Top industries hiring include IT companies, MNCs, startups, banks, e-commerce platforms, healthcare firms, cybersecurity firms, and R&D organizations.
Higher Studies Opportunities
Graduates can pursue:
- M.Tech / M.E. in AI, Data Science, Machine Learning, Big Data, or Computer Science
- M.S. Abroad in Artificial Intelligence, Data Analytics, or Robotics
- MBA in Business Analytics, IT Management, or Operations
- Doctoral Research (Ph.D.) in advanced AI fields
- Competitive exams: GATE, GRE, TOEFL, IELTS, CAT
Students can also pursue international fellowships and funded research opportunities.