The course focuses on developing strong analytical, mathematical, and problem-solving skills required to interpret complex data and support data-driven decision-making across various sectors.
This program blends theoretical concepts with practical applications using statistical software and real-world datasets. Students gain expertise in probability theory, statistical inference, regression analysis, multivariate techniques, sampling methods, and computational statistics. The course prepares learners for careers in data analytics, research, finance, government services, and academia.
Graduates of M.Sc. Statistics can work in diverse fields such as:
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Data Analyst / Statistical Analyst
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Business Analyst
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Research Associate
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Actuarial Analyst
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Quality Analyst
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Biostatistician
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Economist / Policy Analyst
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Academic & Teaching Roles
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Government & Public Sector Services
