IIIT Hyderabad Launches Online Minor Program in Modern Machine Learning

IIIT-H launches a fully online Minor in Modern Machine Learning for undergrads, offering flexible, credit-linked, hands-on learning with expert faculty and projects.

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CIOL Bureau
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IIIT Hyderabad
The International Institute of Information Technology, Hyderabad (IIITH), through its Division of Flexible Learning and Outreach Division, announces the launch of a fully online Minor Program in Modern Machine Learning, aimed at empowering undergraduate students with cutting-edge skills in one of the most transformative fields in technology. 
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The program is open to students in their third year of undergraduate studies or beyond, in fields related to Science, Mathematics, Engineering, or Technology. Designed to run alongside the regular academic calendar, this one-year program follows a flexible, modular format featuring live interactive sessions, hands-on labs, real-world projects, and expert mentorship from IIIT-H faculty. Colleges may choose to recognize the Minor Certificate as a Minor Degree, based on their academic policies and interest in offering it to their students. 

Machine Learning: Pervasive Impact Across Industries

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 Prof. Venkatesh Choppella, Associate Dean of the Division of Flexible Learning at IIIT Hyderabad, emphasized the growing impact of Machine Learning across industries, stating, “Machine Learning is rapidly transforming every sector, and our aim is to equip students with a strong foundation and hands-on experience in this high-demand field”
Highlighting the value of the program, Prof. Ramesh Loganathan, Head of the Outreach Division, added, “This Program offers students the opportunity to develop specialized expertise in Machine Learning while continuing their core degree programs”. 
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Welcoming the initiative, Prof. P. J. Narayanan, Director of IIIT Hyderabad, said, “As a research-led institution, we believe that foundational knowledge combined with practical application is key to nurturing future innovators. This Minor in Machine Learning reflects our commitment to broadening access to high-quality, research-driven learning.” 
 
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Prof. Kishore Kothapalli, Dean Academics at IIITH, remarked, “The Minor Program is structured to complement students’ ongoing studies while offering deep, application-oriented insights into machine learning. It aligns with our vision to integrate interdisciplinary learning, make advanced technical education accessible beyond traditional classrooms, and provide pathways for highly motivated students to suitable research programs at IIIT Hyderabad.” 
 
Prof. K. S. Rajan, Registrar, IIIT Hyderabad, expressed strong support for the program’s academic structure and long-term impact: “We see this program as a step toward creating more opportunities for students across the country to access IIITH’s academic excellence. The flexible and credit-linked format ensures quality and scalability, while maintaining academic rigor and integrity.” 
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