IIIT-Delhi Admission 2021 begins for MTech in Machine Learning & Cyber-Physical Systems

Candidates must note that the admission application window for the MTech (ECE) are now open and the last date to submit the online applications at https://iiitd.ac.in/admission/mtech/2021 is May 3. 

IIIT Delhi Admissions 2021: The Indraprastha Institute of Information Technology (IIIT) Delhi launched two new specialisations, i.e. Machine Learning and Cyber-Physical Systems for the students interested in IIIT Delhi admissions to MTech Electronics and Communication Engineering (ECE) programme. Candidates must note that the admission application window for the MTech (ECE) are now open and the last date to submit the online applications at https://iiitd.ac.in/admission/mtech/2021 is May 3, 2021. IIIT Delhi decided to launch these courses considering the evolving industry scenario that is witnessing the emergence of paradigm-shifting technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Internet of Things (IoT) among others.

" The global Machine Learning market is projected to grow from $7.3 billion in 2020 to $30.6 billion in 2024, at a robust CAGR of 43 per cent. Hence, there is an urgent need to provide specialisations within ECE in the MTech degree to produce market-ready professionals," reports suggest. 

"The newly launched MTech (ECE) Cyber-Physical Systems (CPS) programme aims to train and equip the students with industry-ready skillset on wireless networks and control systems. The programme presents a mix of rigorous theory, programming, and hands-on experiments on networked systems. Upon completion of the programme, the student will be able to join the industrial workforce and contribute to the wireless industry, " the institute said. 

Talking about the MTech (ECE) Machine Learning (ML) programme, IIIT Delhi informed that "the programme is based on foundational and cutting-edge methods in these areas and is taught by faculty conducting pioneering research in the field. Students can opt for hands-on experience with real-world datasets through a thesis/capstone project as well."  This programme is recommended for students from ECE (and allied branches) who wants a jump-start on a career in machine learning, with a strong focus on foundational math and theory, programming, and exposure to real-world applications.

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