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)
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Course No. |
Course Title |
Prerequisite(s) |
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Monitoring and Evaluation |
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Introductory Applied Statistics |
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Statistical Inference |
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Survey and Research Design |
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Applied Sample Design |
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Regression Analysis I |
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2. Elective Courses: (13 credit hours)
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Course No. |
Course Title |
Prerequisite(s) |
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Regression Analysis II |
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Small Area Estimation |
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Applied Non-Parametric Statistics |
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Multivariate Analysis |
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Time Series Analysis |
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Demographic Statistics |
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Economic and Social Statistics |
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Health Statistics |
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Actuarial Science |
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Data Visualization |
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Data Mining |
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Special Topic |
Program Committee Approval |
3. Track “A” or Track “B”: 6 Credit Hours; Thesis or two Seminars
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Course No. |
Course Title |
Prerequisite(s) |
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Track A |
Thesis |
Complete no less than 18 credit hours from the program, including ASDS6311 and Program Committee Approval |
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Track B |
Seminar 1 |
Complete no less than 18 credit hours from the program, including ASDS6311 and Program Committee Approval |
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Seminar 2 |
