B. Tech. (Hons) Computer Science and Engineering Intelligent Systems

The B.Tech in Computer Science & Engineering with a Specialization in Intelligent Systems offers a comprehensive curriculum designed to equip students with expertise in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), and Robotics. This program emphasizes a multidisciplinary approach, integrating concepts from computer science, mathematics, and cognitive science to provide a holistic understanding of intelligent technologies. Through a blend of theoretical foundations, hands-on training, and project-based learning, students develop the practical skills and innovative mindset required to tackle real-world challenges. With a strong focus on cutting-edge research and industry-relevant applications, this program prepares graduates to excel as leaders in the rapidly evolving field of intelligent systems, driving advancements across industries such as healthcare, autonomous vehicles, smart cities, and more.

USPs;

• International-Level Faculty: Be guided by international faculty with academic excellence/industry expertise in A rand intelligent systems.

• Global Exposure: International student exchange programs and educational visits to institutions and organizations driving advancements in Al and intelligent systems.

• Prestigious Internships: Internships in top 500 IT companies such as Google, Microsoft, and Amazon, offering hands-on experience in Al, robotics, and machine learning.

• Research Excellence: Mandatory two patents and one research paper in reputed journals during the program.

• Global Certifications: Achieve ten globally recognized certifications in artificial intelligence, machine learning, robotics, and natural language processing.

• → Intensive Programming Practice: Engage in 240 hours of practical coding, applying Al/ML frameworks like TensorFlow, PyTorch, and Keras.

• Candidates must have completed their higher secondary education (Class 12) with Physics, Chemistry, and Mathematics (PCM) or equivalent subjects. A minimum aggregate score of 50% is required for eligibility. Candidates may also need to qualify for an entrance examination as specified by the university.

• AI/ML Engineers
• Data Scientists
• Robotics Engineers
• Research Scientists