The Department of Statistics at Soban Singh Jeena University (SSJU) is dedicated to the study of statistical theory, methods and applications. The department provides students with a strong foundation in statistical concepts and quantitative techniques used for collecting, analysing, interpreting and presenting data.
The department covers important areas of statistics including probability, statistical inference, sampling techniques, regression analysis, correlation, experimental design, multivariate analysis, time series analysis and statistical computing. Students are encouraged to develop analytical and quantitative skills through theoretical learning, practical exercises and data-oriented projects.
The Department of Statistics promotes the application of statistical methods across different disciplines including science, social sciences, economics, business, health, environmental studies and research. Practical learning with statistical software, data analysis and research methodology helps students understand the role of statistics in solving real-world problems and supporting evidence-based decisions.
The undergraduate programme in Statistics introduces students to probability, statistical methods, data analysis, sampling, correlation, regression and statistical computing. The programme develops quantitative reasoning and practical analytical skills through theoretical and application-based learning.
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The postgraduate programme provides advanced study of statistical theory, probability, statistical inference, sampling methods, regression, multivariate analysis, experimental design, time series and statistical computing. Students are encouraged to apply statistical techniques to research and real-world datasets.
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The Ph.D. programme in Statistics provides opportunities for advanced research in statistical theory, statistical modelling, data analysis, probability, statistical inference and interdisciplinary applications. Scholars are encouraged to undertake independent research using appropriate statistical methods and analytical techniques.
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