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    Quick Facts

    Seats
    20

    Course Details

    MODE

    Full time

    DURATION

    72 Months

    This program has been tailored by leading academicians and experts from the industry.Emphasis has been given to latest development in industry wherein expertise is required. Steps have been taken to further strengthen the present system in the country while framingthe syllabus.

    Statistics is indispensable in this modern age aptly termed as "the age ofanalytics and digitalization".Governments around the word are constantly implementing statistics to improve economic developments.Wages, pricing of items, Time series analysis, demand analysis, production control, business development, growth & analysisis dependent on statistics. The corporate world relies heavily on evidence-based decision-making strategies, wherein the Science of Statistics plays a crucial role.Doctorate Degree holders in Statistics demonstrate highrates of employment in academics, industry, government and there is a growing demand of professionals with pre qualificalion in statistics. 

    Research expertise is available in the following areas: Probability Theory, Stalistical Inference, Non-parametric Inference, ReliabilityTheory, Stochastic Processes, Multivariate Analysis and Machine Learning.


    Eligibility Criteria

    Master's degree in Statistics/ Applied Statistics or a professional degree declared equivalent to the Master's degree in Statistics by the corresponding statutory regulatory body, with at least 55% marks in aggregate or its equivalent grade 'B' in the UGC 7-point scale (or an equivalent grade in a point scale wherever grading system is followed) or an equivalent degree from a foreign educational Institution accredited by an Assessment and Accreditation Agency which is approved, recognized or authorized by an authority, established or incorporated under a law in its home country or any other statutory authority in that country for the purpose of assessing, accrediting or assuring quality and standards of educational institutions.

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