Applied Statistics and Data Science

The Master’s Program of Applied Statistics and Data Science seeks to provide high-level education in the area of applied statistics and data science to students from diverse backgrounds.

The program aims to graduate professional statisticians capable of addressing problems in diverse areas related to population, social, economic, financial, health, and other sciences. The program also aims to graduate professionals capable of analyzing statistical data with high accuracy.

 

  • Meeting the Palestinian community’s need as the program is expected to strengthen the scientific research system and contribute to serving the local community.
  • Preparing and qualifying specialists and researchers in the field of applied statistics who possess the knowledge, theoretical foundations, concepts, and skills necessary to determine the quality of data, the methods and tools for collecting, classifying, analyzing, and summarizing data, identifying prevailing patterns, and predicting the expected behavior of a certain phenomenon.
  • This specialization provides students with job opportunities in the field of applied statistics and data analysis, and aims to graduate students capable of finding appropriate solutions to problems facing the local and international community.
  • Qualifying students to contribute to the advancement of scientific knowledge in the field of applied statistics and data science, in order to study and understand local and human economic and social phenomena to serve the local and human community.
  • Ensuring compatibility with modern global trends in applied statistics jobs related to economics and computer science, which contributes to increasing the interaction of students with other disciplines.
  • Providing the Palestinian community with highly experienced statisticians capable of providing distinctive, high-quality information to society based on the skills they learned in the program.
  • Applying data analysis skills in a wide range of fields.
  • Providing scientific competence in the field of applied statistics and data analysis to address the significant shortage in this field.
  • Providing the Palestinian community with qualified specialists capable of working in various statistical centers such as the Palestinian Central Bureau of Statistics, the Ministry of Planning and Labor, research and studies centers, banks, and insurance companies.
  • Encouraging and motivating students to learn and analyze data, as well as providing the local, regional, and international community with competitive specialists who can collaborate with groups in major companies and institutions.

Graduates of this program have numerous opportunities in the Palestinian labor market such as:

  • The Palestinian Central Bureau of Statistics.
  • Banks, insurance companies, and financial institutions.
  • Researcher at a research or consulting center, data analyst, population statistician, health statistician, economic statistician, market and marketing data analyst, financial modeling analyst, time series analyst.
  • Data scientist.
Program Requirements

Students are required to complete 36 credit hours distributed as follows: 

 

1. Core Courses: (17 credit hours)

Course No.

Course Title

Prerequisite(s)

ASDS6291

Monitoring and Evaluation

ASDS6301

ASDS6301

Introductory Applied Statistics

 

ASDS6302

Statistical Inference

ASDS6301

ASDS6311

Survey and Research Design

 

ASDS6321

Applied Sample Design 

ASDS6301

ASDS6331

Regression Analysis I

 

 

2. Elective Courses: (13 credit hours)

Course No.

Course Title

Prerequisite(s)

ASDS6261

Regression Analysis II

ASDS6331

ASDS6271

Small Area Estimation

ASDS6331

ASDS6341

Applied Non-Parametric Statistics

 

ASDS6351

Multivariate Analysis

ASDS6331

ASDS6381

Time Series Analysis

ASDS6331

ASDS7211

Demographic Statistics

 

ASDS7221

Economic and Social Statistics

 

ASDS7231

Health Statistics

 

ASDS7251

Actuarial Science

ASDS6301

ASDS7261

Data Visualization

 

ASDS7291

Data Mining

ASDS6331

ASDS7381

Special Topic

Program Committee Approval

 

3. Track “A” or Track “B”: 6 Credit Hours; Thesis or two Seminars 

 

Course No. 

Course Title

Prerequisite(s)

Track A

ASDS860

Thesis

Complete no less than 18 credit hours from the program, including ASDS6311 and Program Committee Approval

Track B

ASDS830

Seminar 1

Complete no less than 18 credit hours from the program, including ASDS6311 and Program Committee Approval

ASDS831

Seminar 2

ASDS830