The Master of Science in Statistics offers an in-depth understanding of statistical models, data interpretation, and mathematical foundations of statistics. Students are trained in both theoretical and applied statistics, including hands-on experience with statistical software and real-world data sets.

Core Subjects Include:

• Probability Theory
• Statistical Inference
• Regression Analysis
• Multivariate Analysis
• Design of Experiments
• Sampling Techniques
• Time Series Analysis
• Econometrics
• Bayesian Inference
• Statistical Computing with R, SPSS, Python

Projects & Research:

• Data modeling
• Industry-based statistical case studies
• Dissertation on specialized statistical topics

📥 Eligibility Criteria

• Bachelor’s degree in Statistics, Mathematics, or any relevant field with Mathematics/Statistics as a subject
• Minimum 50–55% aggregate (as per university norms)
• Merit-based or entrance exam-based admission process

Job Roles:

• Statistician
• Data Analyst / Data Scientist
• Risk Analyst
• Biostatistician
• Actuarial Analyst
• Market Research Analyst
• Statistical Officer
• Quality Control Analyst

Employment Sectors:

• Government & Public Sector (ISRO, NSSO, DRDO, etc.)
• Banking & Insurance (RBI, LIC, SBI, etc.)
• Pharma and Healthcare (Biostatistics)
• IT & Analytics Companies
• Academia & Research Organizations
• International Agencies (UN, WHO, IMF, etc.)

Higher Education / Certifications:

• Ph.D. in Statistics, Biostatistics, or Data Science
• Postgraduate diplomas in Machine Learning, Data Analytics
• NET/SET for teaching positions

🌟 Why Choose M.Sc. in Statistics?

• Strong career prospects in data-driven industries
• Equips for high-paying roles in analytics and research
• Foundation for roles in government and international organizations
• In-demand skill set for the digital economy
• Versatile applications in business, science, and technology