OVERVIEW
The Department of Computer Science and Engineering(AI), with a specialized focus on Artificial Intelligence, is committed to cultivating innovative computational thinkers and expert system developers.
Our core mission is to equip students with the advanced skills to design, implement, and deploy intelligent systems capable of solving complex, real-world problems.
Established to meet the accelerating global demand for expertise in AI and intelligent automation, the department seamlessly integrates the foundational principles of computer science, mathematics, and statistics with cutting-edge Artificial Intelligence and Machine Learning methodologies. This comprehensive approach prepares students for dynamic careers in technology-driven decision-making and system development.
The curriculum is meticulously designed to provide a balanced blend of rigorous theoretical foundations and intensive practical applications, ensuring a holistic and engineering-focused learning experience. Students gain deep proficiency in emerging and core technologies, including:
- Machine Learning (ML)
- Deep Learning
- Natural Language Processing (NLP)
- Computer Vision
- Algorithm Design and Analysis
- Big Data Analytics
- Cloud Computing for AI
Through hands-on system development, cutting-edge research projects, and robust industry collaborations, the department prepares graduates to be leaders in the next wave of technological innovation, capable of effectively engineering and deploying intelligent solutions across diverse domains.
PROGRAMMES OFFERED
Where Curiosity Meets Academic Excellence
The Department of Computer Science and Engineering(AI) offers comprehensive, skill-driven programmes designed to prepare students for diverse career paths in engineering, manufacturing, research, and innovation.
OUR FACULTY
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FAQ's
It is a specialized engineering programme focused on AI, machine learning, deep learning, and intelligent systems.
Industry-aligned curriculum, advanced labs, hands-on projects, and strong focus on emerging AI technologies.
Artificial intelligence, machine learning, deep learning, data analytics, neural networks, and computer vision.
Yes, through coding labs, AI projects, real-world datasets, and capstone projects.
Python, Java, C/C++, and AI-focused frameworks and tools.
AI Engineer, Machine Learning Engineer, Data Scientist, Software Developer, and Research Engineer.
Yes, AI skills are widely used in healthcare, finance, manufacturing, robotics, and smart systems.
Yes, through industry internships, projects, and dedicated placement assistance.
Yes, graduates can pursue M.Tech, MS, MBA, or PhD in AI and related domains.
Apply through a transparent, merit-based admission process with academic counselling support.