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The rigorous course work is spread over 6 semesters including projects

Number of Seats

40 seats

Salient Features

  • Curriculum prepared with inputs from eminent academicians and industry leaders, to focus on building skillsets for the growing requirement of data scientists in the industry
  • Applied Statistics and Analytics form the core of the curriculum
  • Curriculum contains components from Statistics, Economics, Mathematics, Computers and Analytics and emphasis on Experiential learning
  • Focused on blending theory with practical and industry application to enhance understanding and learning.
  • Hands on experience on using software like MS Excel, RStudio, C++, SQL, Oracle, Scilab, SPSS, SAS Visual Analytics, to solve problems involving analytics
  • Regular interaction with Industry leaders to give a holistic picture of importance and application of Analytics in the industry
  • Industry projects are part of the curriculum
  • Faculty are drawn from a pool of experts from Industry/academia thereby ensuring a balanced and continuous interaction with the industry


HSC or equivalent Board with 50% aggregate in any stream (Science / Commerce / Arts with Mathematics).

Admission Criteria

By merit, based on marks in Mathematics / Mathematics & Statistics subjects. For IB, only SL / HL Maths Score will be considered.

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