New Course

IIT Madras launches online BSc in Programming and Data Science

Applicants can be from any discipline and based anywhere in India; 3 stages for learners to choose from: Certificate, Diploma or Degree.

IIT Madras launches  online BSc in Programming and Data Science

The Indian Institute of Technology Madras (IIT Madras), ranked No.1 in India Rankings 2020 by NIRF, today announced the launch of India’s first online BSc degree in Programming and Data Science.

The programme is open to anyone who has passed Class XII, with English and Maths at the Class X level, and enrolled in any on-campus UG course. Even the current batch of students who are completing their Class XII in 2020 are eligible to apply. Graduates and working professionals can also take up this programme.

This unique offering removes all barriers of age, discipline or geographic location and provides access to a world-class curriculum in data science which is in huge demand for skilled professionals.

The programme was launched today in the august presence of Ramesh Pokhriyal ‘Nishank', Union Minister of HRD and Sanjay Dhotre, Minister of State for HRD, Communications and Electronics and IT, Govt. of India along with Dr. Pawan Kumar Goenka, Chairman, Board of Governors, Director and the faculty of the Institute. Prof. Anil Sahasrabudhe, Chairman of AICTE was also part of this historic launch.

A happening field

Data Science is one of the fastest growing sectors that is predicted to create 11.5 million jobs by 2026. Online education is a trend being rapidly embraced for high quality education on a large scale. Faculty from IIT Madras are addressing the need of this sector using online education processes and present an inclusive and affordable education model that will extend IIT’s reach by orders of magnitude.

 

Students who are currently enrolled in a different on-campus programme anywhere in India can pursue this degree programme without needing to switch careers or courses.

Even employers who want to upskill their employees can consider this option without loss of productive time on the job.

The program brightens up job prospects for students in a lucrative field, provides opportunity for working professionals to switch careers and also provides learners an opportunity to get a degree from a recognised institution such as IIT Madras.

 The programme will be delivered on a state-of-the-art online portal and will attract learners from even remote parts of India where outreach of digital literacy is minimal and will help them stay ahead in their career journeys. To ensure that the online learning platform is closest to a classroom learning experience, the program will have videos from the faculty, weekly assignments and in-person invigilated exams just like any other regular course.

The programme will hone students’ skills in managing data, visualizing patterns to gain managerial insights, model uncertainties and build models that assist in producing forecasts to make effective business decisions.

 This unique online offering will be offered in three different stages — Foundational Programme, Diploma Programme and Degree Programme. At each stage, students will have the freedom to exit from the programme and receive a Certificate, Diploma or a Degree, respectively, from IIT Madras.

Based on the eligibility, interested candidates will have to fill a form and pay a nominal fee of Rs 3,000 for the qualifier exam. Learners will get access to the 4 weeks of course content of 4 subjects (Mathematics, English, Statistics and Computational Thinking).

These students will go through the course lectures online, submit online assignments and write an in-person qualifier exam at the end of 4 weeks. In contrast to the typical admission processes of IITs which are constrained due to the limited number of in-campus seats, in this programme all students who clear (with an overall score of 50%) the qualifier exam will be eligible to register for the foundational program.

 For more details about the programme, log on to www.onlinedegree.iitm.ac.in.

Tribune Shorts


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