IIT Madras is enhancing Data Scientists in India. The First Batch of 30 students to complete its Inter-Disciplinary Dual Degree (IDDD) program on Data Science are all set to show up for campus placements shortly. IIT Madras is planning to nearly double the number of seats within IDDD Data Science owing to the good result from the industry and demand from the students.
With a large curriculum overhaul inside 2015, IIT Madras provides great flexibility to students, providing them the chance to take courses throughout disciplines, and build towards expertise in modern interdisciplinary areas which will determine the future of technology and engineering. Particularly, IIT Madras offers its undergraduate students an option to move up to IDDD programmes, exactly where the students are going to study for 5 years and get B.Tech. in parent discipline and to M.Tech. in an interdisciplinary region.
The IDDD Data Science Students are going to have a bachelor’s degree in the main they opted for if they joined, in addition to a Master’s degree in Data Science, allowing them to put on their Data Science skills to resolve issues in their parent discipline. This’s a one-of-its-kind interdisciplinary programme in the nation, providing students with a solid foundation in each their parent discipline, and also frontier aspects of data science. The graduating students are exclusively taught to fulfill the quickly increasing demand for artificial intelligence and data science professionals in the Indian industries.
Talking about the value of Data Science to the nation’s development, B. Ravindran, Head, Robert Bosch Centre for Artificial Intelligence and Data Science (RBC DSAI), IIT Madras, and the study course coordinator stated, “Data Science is significantly impacting the graduates and every discipline of this programme, by virtue of the inter-disciplinary education, are well prepared to be leaders in a digital world.”
Students taking the course will also intern at businesses and take up live-projects in data science. Far more than one-half of the students decided to take up tasks that applied data science in their parent discipline. Students from 8 of the 10 eligible departments in IIT Madras have previously enrolled in this specific program. shifts in their prospective careers.”
Based on research on Artificial Intelligence and the Data Science job sector, 40% of global businesses struggle to employ and retain data scientists. One-Third of the leading 400 Indian businesses don’t have state-of-the-art Data Analysis Tools and Personnel. also, the study believed that 364,000 new jobs will be made around Data Science/Artificial Intelligence by 2020 found in India. However, another study believed that India had just around 80 full-fledged scientists (as of 2018) as Data Sciences.
Highlighting the benefits to students, Dr. Nandan Sudarsanam, among the instructor in the program, and Associate Professor, Department of Management Studies, IIT Madras, stated, “In inclusion to allowing the students with the tools to be impactful in the respective domains, this particular system enables students making lateral shifts in their potential careers.”
Based on the research on Artificial Intelligence and the Data Science job sector, 40% of global businesses struggle to employ and retain data scientists. One-Third of the leading 400 Indian businesses don’t have state-of-the-art Data Analysis Tools in addition to Personnel. Additionally, the study believed that 364,000 brand new jobs will be made around Data Science/Artificial Intelligence by 2020 found in India. However, another study believed that India had just around 80 full-fledged scientists (as of 2018) as Data Sciences.
With the huge availability of large volumes of data across a number of domains, there continues to be an explosion of attention in all elements of handling and understanding data. Data Science is bringing together all elements of technology needed for gathering, saving, understanding and analyzing data. This involves storage engineering, mining, data analytics, data-driven modeling, and distributed computing, security, and visualization, among others. Given that good interpretation and modeling require a very good domain realizing this becomes an inherently interdisciplinary endeavor.
The curriculum has a primary part spanning across theory and lab programs, which cover the essential theoretical methods of data science and the programming tools required. The students are then free to pick out 3-4 electives from a recommended list. These electives are a mix of innovative algorithmic or theoretical courses and applied data science programs, which range from reinforcement learning how to computational genomics. Based on the interests of the students one may decide to concentrate on a certain program area or even acquire a deeper grounding in the basic principles of data science.