Faculty
Mathematical Sciences

The department of Statistics, with over 40 years of experience, was first established in National University of Iran under the title of Applied Statistics department, and in the same year was able to admit students for this subject. Following combining of some of the faculties and institutes of higher education in the National University of Iran in 1981 and changing its name to Shahid Beheshti University, the Statistics department of the university started its activity in faculty of managements and informatics together with the computer and management department. In 1991, Statistics department and Mathematics department formed the faculty of Mathematics and the department of Statistics managed to continue its educating students in Bachelor and Master degrees. As the aspects and application of statistical science grew, and with the need of the analysis of the society in 1993, the Master degrees of the insurance Statistics (actuary) and socio-economic Statistics were firstly designed and established in this university. In the same year the PhD of Statistics was also established.

At the moment, the Statistics department has 11 part-time and full-time members of board of education and cooperates with two retired scientific members. There are 150 Statistics students in Bachelor level, 48 students in Master degree and 22 in Ph.D degree.

The Objectives of Statistics in Graduate and Post Graduate Education:

The main objectives of Statistics for bachelor degree is to educate professional experts for studying and analyzing Statistics and also conducting scientific researches based on quantitative content methods. These people use statistical tools to get essential deductions in many organizations, governmental and private offices and scientific research institutes. The other objective is to prepare students for post graduate level. The aim of the Master degree is to educate students for further statistical science borders and to make them able to analyze more complicated scientific problems, quantitatively, and also to analyze actuary problems and socio-economical statistical models.