Indian Institute of Technology Mandi launched a full-fledged Bachelor’s Programme in Data Science and Engineering. It is the first IIT to train students in Computer Science, Applied Statistics, Applied Mathematics and Machine Learning, fields that are required in the context of Data Science and its applications. The programme is being jointly offered by the School of Basic Sciences (SBS) and the School of Computing and Electrical Engineering (SCEE) from the coming academic year (2019-2020).
Speaking about the programme, Dr Timothy A Gonsalves, Director, IIT Mandi, said, “Our BTech in Data Science and Engineering will train students to collect, process and study these large data sets, discerning underlying patterns and deriving actionable insights. Graduates of this programme will have future-proof expertise that will enable them to thrive in the rapidly changing world of the next few decades. This degree will equip students with advanced skills to thrive in a rapidly changing world. The study of Data Science as a BTech discipline is becoming essential to cater to the growing need for professionals and researchers to deal with the future challenges of India.”
Dr Manoj Thakur, Course Coordinator and Associate Professor, School of Basic Sciences, IIT Mandi emphasised on the importance of the programme, “The Data Science and Engineering programme is a rigorous course which emphasises the integration of theory and practice. Labs and practicums are an integral part of the course to provide the students with an all-inclusive learning experience. The program would make the students well trained with ample knowledge of various aspects of data science and engineering required to provide technological solutions to face next-generation challenges.”
This programme, says the institute, will help students fulfil the increasing demand of experts to capture, analyse and synthesise a large amount of data in a number of application domains to better understand various phenomena and to convert this information into actionable strategies such as new scientific discoveries, business applications, policy-making and healthcare
