Indian Institute of Technology, Kanpur (IIT-K) has introduced two new degree programs, 4-year BS and 5-five year BS-MS degree programs in “Statistics and Data Science”. The programs are to be offered from the academic year 2021-22 by its Department of Mathematics and Statistics.

According to reports, the program will be tailor-made for students interested in the study and analysis of data and the admissions to the programs will be through Joint Entrance JEE (Adv).

The program will focus on areas of Fundamental Statistical and Mathematical, Computational and Data Science application courses with students having an opportunity to do elective courses from the Department of Computer Science and Engineering and Electrical Engineering.

Prof. Abhay Karandikar, Director, IIT Kanpur said “The last decade has seen significant changes in the field of statistics with an ever-increasing focus on the computational aspects of statistical methodologies. Data science, Artificial Intelligence/Machine Learning are playing increasingly important roles in finding solutions to diverse real-world problems. Research in data science in the next 20 years is expected to focus on developing mathematically rooted models that can be implemented efficiently. The synergy of theory and applications requires training specific to a unique set of skills, and the BS and BS-MS programs in Statistics and Data Science have been launched in response to this need of effective implementation in real-life situations”.

The programs will prepare and arm students with skills relevant to the rapidly growing interdisciplinary field of big data analytics. The graduates of the programs will be empowered with the skills and knowledge to build flourishing careers in the data science industry and also pursue higher studies in classical and modern statistics, and data science.

Students undergoing the BS and BS-MS programs in Statistics and Data Science will be exposed to various types of structured and unstructured data with applications in solving real-world problems. This would include data related to health, biomedicine, bioinformatics and digital health, retail, banking and financial data, image processing data, seismological data, social media and social network analysis, energy sector, transportation, agriculture etc.

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