AI LAB
State-of-the-art artificial intelligence laboratory
Programs Offered
About the Department
Established in 2022, the Department of Artificial Intelligence and Data Science Engineering offers a comprehensive 4-year B.Tech program designed to equip students with the tools and knowledge driving the future of technology.
Our experienced faculty, with rich industrial and academic backgrounds, bring a strong research and development culture to the department, enhanced by ICT-based teaching methods for a modern learning experience.
This program prepares students to harness the power of intelligent machines and data analytics, shaping breakthroughs across healthcare, finance, manufacturing, retail, and more. Students embark on a journey through cutting-edge AI technologies transforming industries, improving efficiencies, and augmenting human capabilities.
The curriculum builds strong foundations in basic sciences, humanities, and engineering, alongside core AI and Data Science subjects. Students gain hands-on training in advanced AI and data science tools widely adopted across companies.
AI & DS is an interdisciplinary field spanning science, engineering, and technology, impacting all sectors of industry, academia, and research. Key topics include:
- Machine Learning
- Deep Learning
- Fundamentals of AI
- Natural Language Processing (NLP)
- Optimization
- Big Data Engineering
- Data Visualization
- Responsible AI
- Reforcement Learning
- Time Series Analysis
Program Outcomes
Graduates of the program will be able to:
- Apply foundational knowledge in mathematics, science, and engineering to solve complex problems.
- Analyze and evaluate complex AI and data challenges using research-based methods.
- Design safe, efficient, and socially responsible AI and data-driven solutions.
- Conduct investigations and interpret data to provide valid conclusions.
- Use modern AI tools and IT techniques effectively with an understanding of their limits.
- Address societal, ethical, legal, and environmental impacts of engineering solutions.
- Commit to sustainable development and professional ethics.
- Collaborate in diverse, multidisciplinary teams.
- Communicate complex technical concepts clearly through reports and presentations.
- Manage projects involving AI and data science in team settings.
- Engage in lifelong learning to keep up with evolving technologies.
Program Educational Objectives
Core Knowledge Application
Leverage core knowledge in sciences, mathematics, AI, data science, and statistics to handle large-scale data management and analysis.
Advanced Research
Pursue advanced research, innovating sustainable AI and data-driven solutions that benefit ecosystems and society.
Collaboration & Ethics
Exhibit logical thinking, ethical collaboration, and lifelong learning within multidisciplinary teams.
Solution Design
Design and model AI-based solutions addressing critical real-world problems.
Innovation & Impact
Foster creativity and innovation for impactful contributions to economic and technological growth.
Program Specific Outcomes
AI-Driven Decision Making
Develop AI-driven, domain-specific processes to enhance decision-making in business, governance, and beyond.
Data Insights
Extract actionable insights from data to solve complex business and engineering problems.
Practical Application
Apply theoretical and practical AI and data analytics knowledge using industrial tools to address social challenges.
Expertise Building
Build expertise in data analytics, visualization, knowledge representation, and project coordination.
Research Contribution
Conduct fundamental research using advanced AI technologies to meet societal needs.
Laboratory Facilities
Our department is equipped with state-of-the-art labs to provide hands-on experience with cutting-edge technologies:
AI & Machine Learning Lab
Data Science Lab
Deep Learning Lab
Natural Language Processing Lab
Data Visualization Lab
Big Data Engineering Lab
Cloud Computing Lab
Neural Networks Lab
Programming Lab
IoT & Embedded Systems Lab
Vision & Mission
Vision
To emerge as a Centre of Excellence in Artificial Intelligence and Data Science, fostering a cognitive learning environment through strong collaboration with academia, research, and industry, while addressing global challenges with innovation and sustainability.
Mission
M1: Nurture the next generation of professionals equipped with expertise in intelligent data analysis and the ability to design systems that emulate human intelligence.
M2: Deliver practically trained professionals through innovative and effective teaching-learning methodologies, bridging theory with real-world applications.
M3: Cultivate highly skilled professionals with problem-solving abilities, capable of developing intelligent solutions to address real-time societal and industrial challenges.
Campus Gallery
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