Elizabeth Sloane Institute of Technology ESIT

Master in AI and Machine Learning



To build analytical reasoning and critical thinking foundations with a focus on Artificial Intelligence and Machine Learning To strengthen research and innovation in industry 4.0 space. To train professionals to design and develop solutions to address real-life problems and make global impacts.



The Artificial Intelligence (AI) and Machine Learning (ML) course outlines are designed for postgraduate students majoring in Science, Technology, Engineering, and Mathematics (STEM). Students from other fields are welcome to learn new ideas. This
outline is intended for a degree program focusing on developing skills and knowledge in AI and ML fields.

The program provides a solid foundation in computational intelligence and soft computing techniques, fundamental computer science subjects such as algorithms, networking, advanced Computer Networks, Computer Architecture, basic graph theory, algorithms, and web technologies. Students will also gain knowledge and expertise in diverse fields of AI and ML through this program.



Big Data and Data Analytics

Nature Inspired Computation

Computational Intelligence

Robotics and AI Systems

Foundations of Data Science Modelling and Simulation

Deep Learning

Cloud Computing


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