Applied Statistics and Data Science
Program mission is not available for now.
Students are required to complete 36 credit hours distributed as follows:
1. Core Courses: (17 credit hours)
Course No. |
Course Title |
Prerequisite(s) |
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)
Course No. |
Course Title |
Prerequisite(s) |
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) |
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 |
Qualified applicants must fulfill the following requirements:
- The first university degree in any of the following fields: the natural sciences, statistics, mathematics, computer science, health or medical sciences, engineering, agriculture, or any of the social sciences that deal with quantitative data such as sociology, economics, business administration, finance, public administration, education, psychology, and demography.
- The Program Committee may require admitted students to take up to 6 credit hours of remedial courses in mathematics and statistics (MATH2351, STAT2311, and STAT2361). These courses will not count towards the fulfillment of the required credit hours in the program.
- The Program Committee may require personal interviews with applicants.