The Department of Statistics imparts Post-Graduate programme, that is Master of Science (M.Sc.) in Statistics since 2021-22. This programme aims at providing an exciting space to engage with the quantitative aspects of the social, biological, and physical sciences. Focusing on the increasing role of Statistics in diverse areas and its indispensability in marketing, finance, and strategy-making, students are trained to acquire tools in applied statistics, statistical methods, and analysis. They engage with sample surveys, econometrics, biostatistics, and operations research. In this course, students are taught rigorous methods, tools, and techniques to sift through a maze of data and comment on it in an informed manner. The emphasis of the teaching-learning process is on relating statistical concepts to fundamental world ideas that are familiar to the students. To validate the theoretical concepts developed in the classrooms, students are asked to perform a requisite number of practicals in different fields of Statistics. In addition, students also conduct practicals based on the computer language R and software packages like Excel, SAS, and Statistical Package for Social Sciences (SPSS). The Department has introduced Statistics at the P.G. level from the academic year 2022-2023. The Department has also introduced Ph.D. Programme in Statistics from the academic year 2022-2023.
Vision
The Department of statistics of the Rajendra university will lead and excel by serving the state and nation by preparing the best statisticians in the country.
Mission
• To prepare postgraduate and research students with a sound knowledge of the major areas of statistical methodology, founded on rigorous theoretical principles which equip them to acquire further knowledge.
• To help students acquire professional careers in data collection, management, and analysis in the public or private sector
• To contribute in developing the new statistical methodology to address substantive problems and promote the use of these methods through publications in leading theoretical, applied, and inter-disciplinary journals.
Faculty
| Programme | Course | Strength |
|---|---|---|
| P.G. | Statistics | 24 |
| Ph.D. | Statistics |


























