Career Center-DU Applied Statistics

Jobs of education programme

 Market Research Analysts
 Financial Risk Analyst
 Management analysts
 Budget Analyst
 Statistician
 High school math teacher

 The field

Economics

 Type of certificate

Bachelor degree

 Name of certificate

Bachelor degree in Economics/ Applied Statistics specialization.

 The specialization

Applied Statistics

 Place and address of the program

Damascus- Baramkeh
Telephone: 2113069-2113091- 2127623-2125298-2113010-2113073
Fax: 2119810

 Aims of the department

The Applied Statistics Department aims to:

Prepare graduates who have knowledge in statistical measures and the ways of using them in analyzing data.
Prepare graduates who are able to understand technical developments and the uses of computer in all fields. Also, qualify them to have knowledge in the applications of statistical computer to be used in analyzing data.
Prepare graduates who are able to work in related institutions and understand the changes that will happen in future.
Prepare graduates who are able to conduct scientific researches to be updated with developments on international and local levels.
Prepare graduates who are able to serve the society.
Graduate specialized staffs who are able to handle statistical tasks in the governmental institutions.
Help unspecialized people in statistic and econometrics fields through holding training courses and workshops and providing with consultancy services.
Graduate statisticians to contribute effectively in solving quantitative economic problems.
Build a high level of interaction between the college and society’s institutions to connect the university with society.

 Conditions of acceptance

Having a scientific baccalaureate by 2035 out of 2400 degree at least.
Applying to the system of the university’s acceptance.

 Preferable skills

The ability to concentrate and work under pressure.
The ability to analyze data.
To be honesty.
To have statistical analysis skill.The ability to prepare studies and reports.

 Length of study

Four years

 Language of study

Arabic

 Notices

All the subjects are obligatory to be studied; there are no optional subjects.

 Sectors of careers that are worked in

Working in the economic sector, studies offices, and ministries.

 Pursuing academic study

Master and doctorate in Applied Statistics

 Course description

Principles of Statistics	Provides the student general concepts of statistics such as population, random sample and sampling methods, basically it includes variety of statistical methods for collecting data, tabular and graphical presentation of data in purpose of analyzing them using measures of central tendency and also measures of dispersion. As well it covers simple correlation and regression and an introduction to index numbers.
Applied Statistics	Provides the student the following: Samples, and sampling distribution, statistical inference for large samples and small samples, Simple Time Series Analysis, statistical quality control.
Sampling Theory	Provides the student the following: Introduction to samples and sampling, basic concepts in sampling theory, the concept of sampling and random sampling methods, sample size estimation, applications in the fields of economic and social for samples.
Mathematical Economics	Provides the student the following: the partial equilibrium and the overall balance, the fundamentals of supply and demand, production and cost aftershocks, the balance of the facility and the market and overall demand, the determinants of national income, consumption and investment, input-output table
Probability Theory	Provides the student an elementary introduction to probability with applications. Topics include: basic probability models; random variables; discrete and continuous probability distributions; calculation mathematical expectation and variance; independence; sampling distributions, conditional probability and Simulations about probability.
Nonparametric Statistics	Provides the student cover the origins and evolution of nonparametric Statistics , Comparison between parametric statistics and nonparametric statistics, comparisons of two independent populations, comparisons of two dependent populations , hypothesis tests, rank tests for one, two and many sample problems, order statistics , Nonparametric measures of correlations and some applications of nonparametric statistics on Computer software
Statistical Algorithms	Provides the student the following: Basic concepts of algorithms, Components of algorithms, types of algorithms, data structures, dynamic programming.
Time Series	Provides the student the concept of the time series which is sequence of observations which are ordered in time, since successive observations will probably be dependent. This course gives a brief overview of some of the mains issues such as setting of time series' data, analyzing time series, models of time series, stable and unstable time series, correlation and prediction, and building Arima model.
Mathematical Statistics	Provides the student with introduction to Mathematical Statistics and the relationship between Mathematics and Statistics. The course covers decision theory, estimation, confidence intervals, random variables, and hypothesis testing.
Information Systems Planning and Database Design	Provides the student the following: Basic concepts of information systems analysis, Techniques and methodologies of information systems, steps of analyzing and designing the information systems, physical system model, System implementation and transformation, evaluation and maintenance
Economic and Social Statistics	Provides the student the following: Demographics, health statistics, Trade statistics, educational and employment statistics, financial industry statistics, agricultural statistics, building and construction statistics, standard of living and national income.
Theory of simulation	Provides the student the following: Theoretical concepts of simulation, Monte Carlo simulation method, random number generation, statistical simulation, Queuing Models simulation, assessment the role of simulation in decision-making.
Statistical software	Provides the student the following: The development of statistical software, types of statistical softwares, basic commands in SPSS, data analysis using SPSS package, creating graph and charts using SPSS, advanced analysis tools in the SPSS package.
Correlation Theory	Provides the student thecorrelation concept and how it indicates the strength and direction of a linear relationship between two random variables, its usage refers to the departure of two variables from independence. This course provides the main concepts of correlation theory, simple correlation rectum and curved, and also multi-correlation.
Statistical Computer Applications	Provides the student the following: the most important statistical software used, statistical applications in dealing with population issues, and statistical applications in addressing social and economic statistics, and dealing with the econometric and quantitative methods.
Population Census	Provides the student a discussionabout the relationship between the census and demography, the sources of population data and demographic composition, concepts of deaths - birth - fertility - immigration - population growth, population projections and its methods.
Insurance Mathematics	Provides the student the following: includes Arithmetic sequence, simple and compound interest, Pay using a compound interest rate, the concept of risk and insurance and life tables, Net premiums and commercial, mathematical reserve and how to calculate it.
Design and analysis of experiments	Provides the student with the following concepts: Completely randomized design, Pack random, indiscriminate sector, Latin square, factorial experiments and multi-stage and split plot, incomplete block design and networking, analysis of integration and response surfaces.
Mathematics economic	Provides the student the following: matrices and its uses economic and economic disciples of income, cost and profit and benefit and economic ends disciples marginal
Random Contexts	Provides the student the following: Basic concepts of random chins, Markov chain and other usable chains, Laplace chain and quadratic chain analysis, also examples of Markov chain.
Informatics I	Provides the student with an understanding of general concepts of information technology - computer hardware - computer input and output units – central process unit (CPU) - digital coding system - logical circuits.
Informatics II	Provides the student with a conceptual framework for understanding the method of writing algorithm for a program and apply it using programming languages like to rbupascal and Delphi (as a model of visual programming languages).