قسم الرياضيات – جامعة الطفيلة التقنية

Department of Mathematics

Teachers Count

Dr. Hazem Mousa Ibrahim Al-Mofleh

Head of Department of Mathematics

Department of Mathematics

Recognizing the pivotal role of mathematics in the advancement of science and technology, Tafila Technical University established the Department of Mathematics at the beginning of the second semester of the 2005/2006 academic year. The Department initially launched the Bachelor’s Degree in Mathematics as a foundation for preparing highly qualified scientific professionals.

In response to rapid technological advancements and the exponential growth of data in the modern world, there has been an increasing demand for specialists in applied statistics and data analysis to interpret and utilize such data in solving real-world challenges. Accordingly, the Department introduced the Bachelor’s Degree in Applied Statistics at the beginning of the second semester of the 2022/2023 academic year.

The Department currently comprises a distinguished group of faculty members, including thirteen PhD holders from various academic ranks, in addition to three instructors holding Master’s degrees. These faculty members have graduated from internationally recognized universities across diverse research fields, fostering a rich academic and research environment that supports the Department’s mission of delivering high-quality education and promoting scientific research through publications in reputable peer-reviewed journals.

The Department currently offers three academic programs:

Bachelor’s Degree in Mathematics.
Bachelor’s Degree in Applied Statistics.
Master’s Degree in Applied Mathematics.

Vision

To advance the quality of graduates so they can effectively contribute to scientific and technological progress at both local and international levels, while enhancing the Department’s standing in research excellence.

Mission

To graduate highly qualified students equipped with strong analytical thinking, problem-solving skills, and research competencies that align with labor market needs.

Objectives

To prepare specialized graduates in mathematics and applied statistics to support both school and higher education sectors.
To develop students’ logical and scientific thinking skills.
To prepare outstanding students for pursuing postgraduate studies.
To promote scientific research and encourage publication in high-impact journals.
To support participation in scientific conferences, seminars, and workshops.
To strengthen collaboration with other disciplines, particularly in information technology, engineering, and science fields.
To meet labor market demands for professionals in mathematics and applied statistics.

Core Values

Academic integrity in constructing and presenting mathematical proofs through rigorous logical reasoning.
Precision in numerical and statistical analysis.
Innovation in mathematical modeling and problem-solving.
Intellectual openness and the use of diverse approaches in solving problems.
Systematic and sound analysis of mathematical problems.
Building a strong knowledge base that prepares graduates to work as statisticians and data analysts across various sectors, including healthcare, information technology, engineering, finance, business, education, environmental sciences, and beyond.

Department Majors

Credit Hour

Bachelor Degree

Program Overview

The Bachelor’s Degree in Applied Statistics focuses on the collection, analysis, and interpretation of data using modern statistical methods to support decision-making across scientific, economic, and industrial fields. The program aims to equip students with strong theoretical foundations and practical skills in data analysis, enabling them to handle large datasets and understand complex real-world phenomena.

Key Learning Outcomes

Upon completion of the program, graduates will be able to:

Collect, organize, and manage data using systematic scientific approaches.
Apply statistical models and methods to analyze data and derive meaningful insights.
Utilize statistical software for data processing and analysis.
Interpret statistical results and support evidence-based decision-making.
Develop predictive models to address real-world problems.
Handle large datasets and apply modern data analysis techniques.
Work effectively in multidisciplinary teams while adhering to professional ethics.

Study Plan (Summary)

The study plan includes the following components:

Basic Requirements: Mathematics, Principles of Statistics, Computer Skills, and Communication Skills.
Major Requirements: Descriptive Statistics, Probability Theory, Statistical Inference, Regression Analysis, Experimental Design, and Time Series Analysis.
Applied Courses: Data Analysis, Statistical Computing, Data Mining, and Machine Learning.
Practical Training: Hands-on applications using specialized statistical software.
Graduation Project: An applied project focused on data analysis or solving real-world problems using statistical methods.

Career Opportunities

Graduates of this program may pursue careers in:

Statistical and data analysis centers.
Banking, insurance, and financial institutions.
Information technology and data science companies.
Healthcare and medical research sectors.
Governmental institutions and research centers.
Marketing and business analytics companies.
Industrial sector and quality control.
Artificial intelligence and big data analytics fields.

Study Plan

Indicative Plan

Credit Hour

Master Degree

Study Plan

Indicative Plan

Credit Hour

Bachelor Degree

Program Overview

The Bachelor’s Degree in Mathematics focuses on the study of abstract structures, quantitative relationships, and mathematical models, forming the foundation for numerous applications in technology, engineering, economics, and the natural sciences. The program integrates rigorous theoretical knowledge with practical applications and aims to prepare graduates with advanced analytical and logical skills, enabling them to solve complex problems and contribute to scientific and technological advancement.

Key Learning Outcomes

Upon completion of the program, graduates will be able to:

Demonstrate a solid understanding of fundamental and advanced concepts across various branches of mathematics.
Analyze and formulate problems using precise mathematical models.
Apply logical reasoning and analytical thinking to solve abstract and applied problems.
Utilize mathematical methods in fields such as science, engineering, and economics.
Employ computational tools and numerical methods in solving mathematical problems.
Analyze data and interpret results using mathematical and statistical techniques.
Prepare scientific reports and work effectively within multidisciplinary teams.

Study Plan (Summary)

The study plan includes the following components:

Basic Requirements: Introductory Mathematics, General Physics, Computer Skills, Communication Skills, and Scientific Writing.
Major Requirements: Linear Algebra, Calculus, Differential Equations, Real Analysis, Complex Analysis, Discrete Mathematics, Probability Theory.
Applied Courses: Numerical Methods, Mathematical Modeling, Mathematical Programming, and Applications of Mathematics in Science and Engineering.
Practical Training: Computational applications and projects to enhance analytical skills.
Graduation Project: A research-based or applied project addressing a mathematical or real-world problem.