Machine learning is pervading into a multitude of disciplines in engineering and technology. There is a growing need for the foundations of this discipline to be imbibed early on, at the undergraduate level in engineering itself, and to make it more affordable to students willing to be proficient in the domain.
With such an objective in mind, iHub-Data, the technology innovation hub established by IIIT Hyderabad, is embarking on a novel mission to assist technical institutions and universities (possessing academic autonomous status) for offering a BTech (minor) degree program in Modern Machine Learning from the academic year 2023 onwards.
Over the past decade, faculty at IIIT Hyderabad had started engaging themselves in shaping the syllabus, lecture contents and practical hands-on tutorials, and exploring ways for offering a skilled program covering the fundamentals of modern machine learning. These discussions culminated in a 50-week program on Foundations of Modern Machine Learning, currently offered via iHub-Data to Indian UG students pursuing a career in engineering. With learnings incorporated from its engagement with these students, there has been a growing realisation that this program be also offered as a regular academic program of any university/technical institution.
Access to all requisite learning resources including hands-on tutorials would be extended to institutions agreeing to offer this minor program - facilitating these institutions to offer it as a regular on-campus classroom program. An MoU with iHub-Data, IIIT Hyderabad would need to be signed by institutions willing to be part of this network, who would then be able to offer the course for a block period of four years, starting from 2023 onwards.
More details of the minor program and link to register, are available at
The International Institute of Information Technology Hyderabad (IIITH) is an autonomous research university founded in 1998 that focuses on the core areas of Information Technology, such as Computer Science, Electronics and Communications, and their applications in other domains through inter-disciplinary research that has a greater social impact. Some of its research domains include Visual Information Technologies, Human Language Technologies, Data Engineering, VLSI and Embedded Systems, Computer Architecture, Wireless Communications, Algorithms and Information Security, Robotics, Building Science, Earthquake Engineering, Cognitive Science, Computational Natural Sciences and Bioinformatics, Education Technologies, Power Systems, IT in Agriculture and e-Governance.
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( With inputs from ANI )
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