Robotics

Typically, a Bachelor of Science (B.Sc. ) degree in Artificial Intelligence (AI) and Machine Learning (ML) is designed for students with a background in computer Science, mathematics, or related fields. While it may be possible for students from a Physics, Chemistry, and Biology (PCB) background to pursue such a degree, it might require additional coursework or prerequisites to bridge the knowledge gap in computer Science and programming. B.Sc. AI and ML programs often cover subjects such as programming, data structures, algorithms, mathematics, statistics, machine learning, neural networks, natural language processing, and computer vision. These courses are more aligned with the skill set and knowledge base of students from a computer Science or mathematics background. If you are a PCB student interested in pursuing a B.Sc. degree in AI and ML, it's recommended to thoroughly review the curriculum of the specific programme you are considering. Check if the programme offers foundational courses or prerequisites to help students from non-computer Science backgrounds build the necessary skills in programming, mathematics, and computer Science concepts. Additionally, some universities may offer specialised AI and ML programs that are more accessible to students from diverse backgrounds. These programs may have a more interdisciplinary approach and cover both technical and domain-specific aspects of AI and ML. It's advisable to research and reach out to the universities or institutions offering B.Sc. AI and ML programs to understand their specific admission requirements, prerequisites, and any additional support they offer for students transitioning from different academic backgrounds. They will provide you with the most accurate and detailed information regarding the suitability of the programme for PCB students and any necessary steps to ensure a smooth transition into the AI and ML curriculum.

IIT Madras offers a Bachelor of Technology (B.Tech) programme in Computer Science and Engineering (CSE), which is one of the most sought-after undergraduate programs in India. As of my knowledge cutoff in September 2021, IIT Madras does not offer a specific specialisation in Artificial Intelligence (AI) and Machine Learning (ML) at the undergraduate level. However, students pursuing the B.Tech CSE programme at IIT Madras have the opportunity to explore various subjects related to AI and ML as part of their curriculum. The CSE programme at IIT Madras covers a wide range of topics, including computer programming, algorithms, data structures, computer architecture, operating systems, databases, computer networks, software engineering, and more. These foundational courses provide students with a strong base in computer Science, which is crucial for understanding and working in the field of AI and ML. Additionally, IIT Madras offers elective courses and research opportunities that allow students to delve deeper into AI and ML. Students can choose relevant elective courses in areas such as artificial intelligence, machine learning, deep learning, natural language processing, data mining, and pattern recognition. Moreover, IIT Madras has research centers and laboratories that focus on AI and ML, providing opportunities for students to engage in cutting-edge research in these fields. Students can also participate in projects and internships to gain practical experience in AI and ML applications. It's important to note that programme offerings and specializations may change over time, so I recommend checking the official IIT Madras website or contacting the institute directly for the most up-to-date and accurate information regarding their B.Tech CSE programme specializations.