CHENNAI : Renault Nissan Technology and Business Centre India Private Limited (RNTBCI) has launched a scholarship program at Indian Institute of Technology Madras on 15th December 2021. The program will benefit students studying BSc in Programming and Data Science from IIT Madras.
The inaugural ceremony for this scholarship was attended by Mr. Debashis Neogi, Managing Director, RNTBCI, Mr. Ramakrishnan Ramanathan, Vice President, Renault Quality and Head CSR, Prof. Prathap Haridoss, Dean (Academic Courses), IIT Madras and Prof. Andrew Thangaraj, Coordinator, IIT Madras BSc Program.
RNTBCI, through Corporate Social Responsibility (CSR), will be providing financial assistance to 100 learners who are from economically disadvantaged backgrounds to pursue the BSc in Programming and Data Science from IIT Madras.
Drawing attention to the importance of education, Mr. Debashis Neogi, Managing Director, RNTBCI, said, “The right education at the right time is crucial for any student. We are delighted to partner with IIT Madras to empower 100 students from economically disadvantaged backgrounds to pursue their dreams to build a career in Programming and Data Science. At RNTBCI, we encourage social commitment through our endeavours in various community development initiatives through CSR activities. The importance of data science is evident in almost every aspect of life and with absolute certainty, we could say that the boundless potential of the students will be harnessed at IIT Madras, developing them into a significant resource for the industry.”
The IIT Madras BSc in Programming and Data Science, introduced in 2020 as the first-ever online degree by an IIT, spearheads the democratization of high-quality education in India. The program has been designed to cater to candidates from all educational backgrounds and located anywhere in the world. The program is very attractive for learners who are interested in building a career in the highly sought-after disciplines of data science and programming.
The program is offered 3 times a year and attracts learners from around the world. For admissions to the January 2022 term, the applications portal is open until 21st December 2021. Further details about the BSc in Programming and Data Science from IIT Madras can be obtained from https://onlinedegree.iitm.ac.in
Appreciating the efforts behind this scholarship program, Prof. Andrew Thangaraj, Coordinator, IIT Madras BSc Program, said, “We have students from various backgrounds who are in need of financial assistance. The scholarships from RNTBCI will help them to achieve their goals, which would have been impossible otherwise. We are delighted to partner with RNTBCI to support the students studying BSc in Programming and Data Science.”
Through this program, students, irrespective of their age, academic or socio-economic background, learn the most in-demand skills of the 21st century from IIT Madras. With multiple entries and exit options, the program provides the desired flexibility for students as well as working professionals to earn a diploma/degree from IIT Madras.
Quoting the importance of the program, Prof. Prathap Haridoss, Dean (Academic Courses), IIT Madras, said, “We now see a growing demand for data science and analytics skills. In the BSc program, we have seen students learn the basics of data science, and working professionals, with years of experience, expand their knowledge. There is a drastic shift in every field from business operations to consumer behaviour which requires expertise in data science. Analytics, data science and programming skills are now essential tools across industries which, in turn, makes our students a valuable resource.”
RNTBCI scholarships bear the enormous potential to initiate changes in the lives of students. This unique virtual learning program is offered in three different stages – foundation level, diploma level and degree level. With 8,700+ students at the foundation level and 1,100+ students at the diploma level, this scholarship initiative will cater to the most eligible students of this program.
