A Master of Arts in Statistics is a course curated for students looking to deepen their view of statistical theory, methodology, and their applications across varied fields. This particular programme covers subject matters such as probability theory, mathematical statistics, and linear models to form a strong theoretical foundation. It engages students in applied statistics, time series analysis, etc. Practical elements include research projects, internships, and seminars, allowing students to apply their knowledge to real-world problems.

The curriculum covers key concepts of statistical inference, such as point and interval estimation, hypothesis testing, likelihood theory, and asymptotic properties. It includes techniques for analyzing multivariate data, such as principal component analysis (PCA), factor analysis, cluster analysis, and discriminant analysis. It also covers data simulation and resampling methods like the bootstrap and jackknife.

The application of statistical techniques to economic data for forecasting and policy analysis is emphasized, alongside the integration of statistics with computer science for big data analysis, machine learning, and data mining. The program includes written exams to assess understanding of statistical theories, methods, and applications, aiming for mastery of various statistical methods and tools.

Career Scope:-

• Data Analysis
• Teacher
• Statistic Trainer
• Mathematician
• Statisticians
• Data Science
• Market Research
• Consultant
• Journalist