IIT Madras introduces Scholarship for BSc in Programming & Data Science students

IIT Madras introduced the scholarship to support meritorious students who are not economically sound and whose family income is below 1 lakh. 

IIT Madras Scholarship: Indian Institute of Technology (IIT) Madras and Verizon India launched a merit-cum-means scholarship for students from economically disadvantaged backgrounds to pursue BSc in Programming and Data Science. According to the official statement released by IIT Madras, preference in selection for the scholarship, called ‘V Provide Right Opportunity to Power Enabled Learning’, or ‘V PROPEL’, will be given to meritorious women and students with disabilities. The technology institute launched BSc in Programming and Data Science in 2020 as an online programme. The institute will host a webinar on March 25 for students and young aspirants who want to know about their scholarship program.

IIT Madras introduced the scholarship to support meritorious students who are not economically sound and whose family income is below 1 lakh. Selected students will receive financial assistance for four academic terms.

Talking about the important and salient features of the initiative, Professor Mahesh Panchagnula, Dean, Alumni and Corporate Relations, IIT Madras, said, “Verizon India has been a long-time supporter of our efforts in helping deserving students on their education journey. We are delighted to partner with them again to support financially distressed students in the BSc program in Programming and Data Science.”

Vijayaraman Subramanian, Managing Director, Verizon India, said, “We are thrilled to be associated with IIT Madras for our third project and are very happy to be able to make a difference in the lives of these young aspirants coming from the underserved communities through V PROPEL...with this initiative in collaboration with a premier institute like IIT Madras, we aim to provide a platform for students to build a career in Programming and Data Science which is a future-focussed domain and equip them with the knowledge and skills to become successful data scientists and data engineers of tomorrow.”

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