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Master of Science in Applied Mathematics
Description:
Preparing graduates with deep knowledge in applied mathematics and skills in scientific research and critical thinking that qualify them to compete in the labor market and carry out scientific research that serves society and promotes the knowledge economy and sustainable development.
Eligible Applicants
Male and female students
Method of study
Courses and Thesis, Courses and Research Project
Degree
Master
School level
Postgraduate studies
Place of study (Male Students)
College Headquarters (Almelida)
Place of study (female students)
College Main Campus (Al-Malidah) (Female Section)
Required specialization
Bachelor of Mathematics from science colleges or colleges of education
Admission from outside the major
Admission from outside the specialty is not possible
Years of study
Two years
Study period
None
Number of Credit Hours
42
Credits required for graduation
42 hours
STEP test
37
Other conditions
None
Tuition fees
40,000
Required GPA
of at least 5
3
of at least 4
2
of at least 100
72.5
Preference Mechanism for Admission
GPA
50%
Undergraduate Aptitude Test
50%
Differentiation test
None
Educational goals :
1- Preparing scientific competencies with a deep background in the field of applied mathematics, which qualifies them to solve real-life issues and self-development.
2- Developing students' mathematical and computational skills, critical thinking, and the ability to synthesize different mathematical concepts to obtain specific conclusions to mathematical issues.
3- Students obtain solid theoretical and practical knowledge in one of the disciplines of applied mathematics, enabling them to carry out research projects and provide solutions to societal issues.
4- To provide students with scientific research skills in the field of applied mathematics, and effective participation in scientific conferences and meetings.
5- Providing scientific services and consultations to different sectors of society, and interacting with the community.
6- Providing students with the basics of teamwork, self-development, social responsibility and initiative.
Learning outcomes :
Knowledge and understanding: Upon completion of the program, students will be able to
1- Recall advanced mathematical concepts, principles, and theories in the main areas of applied mathematics.
2- Demonstrate a critical understanding of methods, techniques, practices, procedures, and terminology related to applied mathematics.
Describe advanced knowledge and understanding of a range of established and specialized research techniques and methodologies in applied mathematics.
Skills: Upon completion of the program, students will be able to
1- Applying the theories, principles and concepts of applied mathematics, and appropriate numerical methods to solve applied mathematics problems.
2- Demonstrate the ability to think and reason logically and mathematically, through building mathematical proofs, modeling, and simulating real-life issues.
3- Using advanced analytical and/or numerical methods and appropriate algorithms to analyze issues or carry out projects in applied mathematics.
4- Developing critical skills in research, evaluating literature from diverse sources, and summarizing findings to conduct advanced research.
5- Communicate in various forms to disseminate knowledge, skills, projects, and research results related to applied mathematics in the form of reports, research papers, or presentations to diverse audiences.
Values, autonomy and responsibility: Upon completion of the program, students will be able to
1- Demonstrate responsibility, integrity, and commitment to professional and academic ethics.
2- Work effectively, both independently and in collaboration with multidisciplinary teams, to achieve the desired goals and results.
Career opportunities:
1- University lecturer or teacher: Teaching math or related subjects at universities and colleges.
2- Doctoral student: Pursuing graduate studies in applied mathematics or related fields.
3- A designer of algorithms based on applied math to improve the performance of software.
4- Expert in Artificial Intelligence: Developing mathematical models and machine learning techniques to optimize artificial intelligence.
5- A researcher in biological mathematics: Modeling biological phenomena such as the spread of epidemics or the evolution of diseases.
6- Medical Data Analyst: Use math to analyze patient data and predict treatment outcomes.
7. Power Systems Analyst: Modeling and optimization of power grids and electricity generation and distribution processes.
8 - Mathematical Consultant: Advising governments and companies on how to use mathematical modeling to solve issues.
9- Policy Analyst: Using mathematical models to assess the impact of economic and social policies.
10. Researcher at analysis institutes: Work in specialized analysis centers to develop mathematical solutions to national issues.
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