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.
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
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 is intended to produce high quality graduates who are intellectually
and technically competent in building careers in various fields of statistics.
objectives of the program are to:
Provide basic understanding of
statistical theory and analytical tools that can be used in statistics decision
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
Cultivate principles of ethics and
social responsibility in the mind set of students.
Comply with employability needs to meet
demands for high quality graduates.
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
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