IIT Delhi

IIT Delhi School of Artificial Intelligence to Offer New MTech in Machine Intelligence and Data Science

IIT Delhi will offer an MTech in machine intelligence and data science from July 2022 onwards through its School of Artificial Intelligence

IIT Delhi will offer to students a new MTech in machine intelligence and data science from July 2022 onwards. IIT Delhi’s Senate, the faculty body responsible for taking all major educational decisions, has approved the proposed program titled ‘MTech in Machine Intelligence and Data Science (MINDS)’. This will be the second degree offered by the School of Artificial Intelligence (ScAI) at IIT Delhi, which has already started a PhD in artificial intelligence.

Prof Mausam, the founding head of the school, said: “Our PhD program has gathered a lot of interest in its first year. We had a 90% success rate in PhD students joining ScAI last semester, which is exceptional for a young academic unit like ours, as students generally prefer more established academic programs. But they chose us, suggesting that we have put together a really strong faculty team in AI.”

ScAI currently lists around 40 faculty members on its list, including adjunct faculty members from industry research centers like Microsoft Research, Google AI and IBM Research. MTech in MINDS is planned as an industry-sponsored program. The students will be expected to work on industry-relevant AI problems, since they will be co-advised by an IIT Delhi professor and a researcher from the sponsoring company. All students with an undergraduate degree in science or engineering will be eligible for the MINDS program.

Prof V Ramgopal Rao, director, IIT Delhi, said: “Academic institutions today cannot remain in silos. They must work closely with all stakeholders, including industry, non-profit, and governmental organizations. MTech program in MINDS will energize academia-industry collaboration in AI.” The MINDS curriculum will include graduate-level courses in core AI technologies like deep learning and data mining, application-oriented courses like computer vision, natural language processing, and AI for healthcare, and also fundamental courses on mathematics underlying modern AI technologies.

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