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Department of Statistics

Dr. Siddhartha Chakraborty

Dr. Siddhartha Chakraborty

Head of the Department

  • Departmental Phone No.

    Office : (033) 2582 8750, 2582 8275 (Ext. 296/295)

    Cell: +91 8013892245

  • Departmental E-mail Address

    hodstatistics@klyuniv.ac.in

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Established in 1973, the Department of Statistics has acquired a niche position in postgraduate teaching and research in India and has been significantly contributing to social, academic and scientific developments. With its unique and updated curriculum, the Department has been producing excellent Masters Degree holders who are aptly skilled to face challenging problems in various sectors including IT, Finance, Banking and Marketing. Trained in various application areas with sound background of theoretical statistics, the students are showing their excellence in a number of leading companies and academic institutions in India and abroad, apart from Government jobs like Indian Statistical Service and Reserve Bank of India. The budding talents of this department had been nourished by legendary Professors like M. K. Gupta, A. M. Goon, among others, in its formative years as guides on their path of achievements.

Programmes Offered

Programme Duration Intake Capacity Admission Criteria
2-Year M.Sc. 2 Years 59

Graduate with Honours in Statistics from any recognized university
5-Year Integrated M.Sc. 5 Years 28

Higher Secondary or equivalent with First Division and Mathematics as one of the subjects (may be changed from time to time)
Ph. D. 5 Years TBA

Masters Degree in Statistics from any recognized university  and/or as decided by KU

Faculty Profile

(Alphabetical Order)
Dr. Siddhartha Chakraborty

Dr. Siddhartha Chakraborty

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Mr. Jayabrata Biswas

Mr. Jayabrata Biswas

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Pritam Chakraborty

Pritam Chakraborty

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Department Details

  • Inference
  • Multivariate Analysis
  • Biostatistics
  • Reliability
  • Statistical Information Theory
  • Well-equipped computer laboratory with Internet connection
  • One Day Seminar to Celebrate National Statistics Day on 29.06.2026
  • One-day Seminar on Optimal Covariates Designs and their Applications, February 28, 2014.
  • On-day Symposium on Computational Statistics, March 30, 2016.
  • Webinar entitled ‘Harness the Power of Data Analytics’, December 4, 2021
  • Online Workshop on EXCEL and DBMS, January 8, 2022
  • University of Calcutta
  • Indian Statistical Institute
  • Visva-Bharati University