The M. Tech. in Computer Science & Engineering (Machine Learning) curriculum covers advanced topics in machine learning, including algorithms, statistical modeling, deep learning, and reinforcement learning. Advanced coursework delves into practical applications in various domains.

Employment Opportunities:

The rapid advancement and integration of ML across industries are creating unprecedented opportunities for professionals. The demand for ML talent is expected to continue growing due to ongoing technological innovation and increasing applications in various sectors, making it a highly promising area for current and future job seekers.
M. Tech. graduates can pursue roles such as Machine Learning Engineer, Data Scientist, AI Researcher, Software Developer in AI, and Algorithm Developer in various industries or pursue further academic research or teaching roles.