Vision 
 
The vision of the program is to face the challenges and utilize the advantages of statistics under global aspect through building up a knowledge and IT based aimed at achieving academic excellence.

Mission 

The mission of statistics departmentis:

• To produce graduates who have a sound knowledge of the major areas of statistical methodology, founded on rigorous theoretical principles which equip the graduate to acquire further knowledge and skills for the benefit of the country through own study.

• To promote the use and knowledge of Statistics in all fields of Agriculture, Industry, Engineering, Environment, Banking, Social sciences and in which Statistics can contribute to a better understanding of scientific and social phenomena and enhance the quality of decisions and conclusions made on the strength of the statistical approach.

• To contribute to the body of fundamental statistical science through research.

Program Objectives
 

• Provide basic understanding of statistical theory and analytical tools that can be used in statistics decision making process.

• Facilitate learners linking statistical theories and practice with a view to solving real life problems and contributing to socio-economic and community development.

• Promote understanding of knowledge of Statistics in all fields of Agriculture, Industry, Engineering, Environment, Banking, Social sciences and in which Statistics can contribute to a better understanding of scientific and social phenomena and enhance the quality of decisions and conclusions made on the strength of the statistical approach.

• Nature a stimulating academic environment through exchange and research collaboration with renowned scholar’s professionals.

• Cultivate principles of ethics and social responsibility in the mind set of students.

• Comply with employability needs to meet demands for high quality graduates.

 
Learning Outcomes:
 
At the end of the program the students will be able to:

• Demonstrate statistical concept, theories, models and data analysis techniques.

• Demonstrate knowledge of probability and the standard statistical distributions.

• Demonstrate knowledge of fixed-sample and large-sample statistical properties of point and interval estimators.

• Demonstrate knowledge of the properties of parametric, semi-parametric and nonparametric testing procedures.

• Demonstrate the ability to perform complex data management and analysis.

• Demonstrate the ability to apply linear, nonlinear and generalized linear models.

• Demonstrate understanding of how to design experiments and surveys for efficiency.

• Demonstrate knowledge of classical and repeated measures multivariate methods and computational techniques.

• Make students engaged in independent learning through involvement in different research and project works.

• Exercise the qualities of scholarly attainment, sense of responsibility and accountability in the familiar, professional and social environment.

• Develop skills to handle independent research and deliver effective presentations.

• Expand the frontier of acquired knowledge through further independent learning and thus add to existing knowledge bank.