Old Study Plan for Bachelor Degree in Statistics
Current Bachelor Degree in Statistics
Yarmouk University
Faculty of Sciences, Department of Statistics
Statistics Program
Bachelor Degree of Science, Statistics
Vision
The program aspires to be a national distinguished statistical leader recognized for the quality in teaching and data analysis.
Mission
The program aims at offering educational opportunities for students and to be distinguished in teaching, research and data analysis by blending the theoretical and applied statistical aspects to provide quality education and training to the new generations to be pioneer and compete in research, experimental design, data analysis and consultation
The program is designed to produce highly skilled, versatile statisticians who possess powerful abilities for analyzing data. As such, statistics students learn not only how to build statistical models that generate predictions, but how to validate these models and interpret their parameters. Students learn to use their ingenuity to guard with complex data streams and construct informative data visualizations.
The major in statistical consists of 27 courses, including depth in both statistics and an integrating courses in mathematics, a course that emphasizes computer science and an application domain of expertise. All but the application domain course must be graded that including the application course.
Program Educational Objectives
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PEO 1 |
Use modern knowledge, statistical skills, and communication skills to further advance their careers in statistics domain. |
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PEO 2 |
Pursue graduate studies, research, and life-long learning in statistics and related fields. |
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PEO 3 |
Work in multidisciplinary teams to serve the community in accordance with standards and profession ethics. |
Advisers
Ayman Al-Rwashdih, Mohammad Al Kadiri, Mohammad Al Talib, Mohammad Obidat, Ahmed Hanandeh, Ayat Almomani, Nuha Anagreh, Nour Almomane and Areen Alqoran.
Study Abroad Advisor
Mohammad Obidat
Requirements
The following diagram gives the obligatory courses in Statistics program, Yarmouk University.
It includes 68 credit hours that are figured as follows:
Foundations and Core (6 courses):
The following required courses build foundational skills in statistics, mathematics and computer science that are necessary for learning from modern data.
- STAT 101, Stat 201: Principles of statistics
- STAT 111: Probability
- STAT 234: Mathematical statistics
- MATH 102: Calculus II
- CS 110: Computer Science & programming
Statistical Depth ( 12 + 2 courses):
A combination of fundamental statistical courses that provides exposure to additional statistical models, analysis, Design and inference.
- STAT 271: Sampling
- STAT 272, STAT 375 , STAT 464: Modeling & multivariate analyses
- STAT 363: Nonparametric methods
- STAT 373: Demography
- STAT 374: Experimental design
- STAT 382: Categorical data analysis
- STAT 211, STAT 312: probability
- STAT 334, STAT 462: Classical & Bayesian statistical inference
with collaboration of main mathematical courses
- MATH 201, MATH 241: Intermediate analysis & linear algebra
Programming Depth (3 courses):
One additional course and two laboratories that deepen exposure to statistical analysis using main statistical software programs and implementing them practically.
- STAT 281: Statistical packages
- STAT 105, STAT 205: Statistical Labs
Application Domain (5 courses):
Every student is required to take this set of courses that allows them to build the main knowledge in diversity background of science course. This open more specific domain of application. This prepare students to conduct a substantial data analysis project in capstone course.
- PHYS 101, EES 101, CHEM 101, BIO 101, MATH 101.
Capstone (1 course)
Students are required to complete a capstone experience, which expose them to real-world data analysis challenges.
Electives: (as needed to complete to 8 courses):
Provided that the requirements listed above are met, any of the courses listed bellow may be counted as electives to reach the 8 course requirements. Most of them are Faculty courses in statistics, mathematics fields while some other courses are from Faculty of Information Technology & Computer Science and from Faculty of Economics and Administrative Sciences. Additionally, the following courses may be counted toward completion of the major:
Faculty courses:
STAT 273, STAT 278, STAT 372, STAT 376,
STAT 377, STAT 421, STAT 461, STAT 471,
STAT 472, STAT 475, STAT 481, STAT 492
MATH 203, MATH 204, MATH 251, MATH 321
Faculty of Economics and Administrative Sciences courses:
ECON.101, BF.209, BA 160
Information Technology & Computer Science courses:
CS 130.
