Agricultural Statistics 

The post-graduation course in Agricultural Statistics  provides advanced knowledge in statistical theory, data analysis and quantitative methods. It focuses on developing analytical thinking, problem-solving skills, and the effectice use of data for research, decision making and real-world applications.

Course Catalogues for Department of Agricultural Statistics – Click Here

Teaching Staff Details

Sl. No Name Designation Field of Specialization Contact Details Photo
1 Dr. K. Supriya Professor & Head Forecasting Models supriyakallakuri@gmail.com
2 Dr. A. Meena Assistant Professor Multivariate Data Analysis meenaadmala22@gmail.com
3 Dr. I. Stella Assistant Professor Regression Analysis stellaaso@gmail.com
4 Dr. P. Ramesh Assistant Professor Differential Equations rameshpagilla0103@gmail.com

Student Experiences

The faculty creates a supportive and motivating learning environment by closely guiding students throughout the academic journey. With a strong mentoring approach, they encourage students to explore their potential through regular interactions and personality development programs. These initiatives build confidence and clarity of career goals. Through continuous encouragement and guidance, students develop strong statistical and analytical skills. The department prepares them for careers as Statisticians, Data Analysts, and Researchers in government and private sectors.

– Roshini Priya C H,  RAM/2024-131

The Department of Statistics and Mathematics provides a strong academic foundation through a well-designed curriculum that combines theoretical knowledge with practical applications. Faculty encourage interaction and clear understanding of concepts. Students learn hands-on practise on statistical software and analyze data, which helps them prepare for higher studies and future careers. Students are guided through academic projects, presentations, and introductory research activities.

– M. Sangeetha Rani,  RAM/2024-129