Programs Details
Upon completing the B.Tech in Information Science and Engineering students will
Develop a strong understanding of core AI principles, including problem-solving, reasoning, and machine learning techniques.
Design and implement models using decision trees, neural networks, and clustering techniques for applications in healthcare, finance, and automation.
Gain practical experience with Python and leading AI/ML libraries such as TensorFlow, Keras, Scikit-learn, and PyTorch.
Analyze bias, fairness, and the societal impact of AI, ensuring responsible and transparent AI/ML implementations.
- Software Engineer
- Machine Learning Engineer
- Data Analyst
- Computer Vision Engineer
- AI Research Scientist
- AI Software Developer
- Natural Language Processing (NLP) Engineer
- AI Product Manager
- Cybersecurity Analyst
- Entrepreneur