IIIT Delhi invites Applications for PG Diploma in Data Science in Health and Climate Change for Social Impact

IIIT Delhi has activated application form for post-graduate Diploma Program in Data Science in Health and Climate Change for Social Impact. The last date to apply is August 31, 2025.

IIIT Delhi is now accepting applications for its PG Diploma in Data Science in Health and Climate Change for Social Impact, a program designed to equip professionals with the skills to leverage data science for addressing pressing health and climate challenges. The last date for application submission is August 31, 2025. This initiative is a collaboration with prominent organizations such as Artpark and J-PAL South Asia at IFMR, ensuring a comprehensive learning experience backed by academic excellence. The programme will commence in October 2025.

IIIT Delhi PG Diploma in Data Science in Health and Climate Change for Social Impact Application Form Direct Link

The program boasts several key highlights, including the opportunity to learn from global data science experts and distinguished IIIT-Delhi faculty. Participants will engage in hands-on training with real-world data and projects, gaining practical experience in data science applications. Additionally, the program offers internship and fellowship opportunities, providing valuable industry exposure and networking prospects. The curriculum is specifically designed for students and professionals aiming to create social impact through data-driven solutions.

The PG Diploma program is structured to be highly interactive and practical, with a focus on real-world problem-solving. The 37-week program will be delivered in a hybrid mode, offering flexibility and accessibility to participants. With a highly subsidized fee of Rs 25,000, this program is an attractive opportunity for those looking to upskill in data science and its applications in health and climate change.

The program's curriculum includes topics such as Overview of Data Science Approaches, Types of Data, Introductory Linear Algebra, Quantiles and Rank Statistics, and CLT and Normal Distribution. By combining theoretical foundations with practical applications, this program prepares participants to tackle complex challenges in health and climate change using data science.

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