TabsOverviewVision Achieve excellence in preparing national competencies, serving the labor market in the kingdom and the gulf region and enriching science and knowledge. Mission Prepare national competencies specialized in Pure and Applied Mathematics and in Statistics to meet the requirements of the development plans in the kingdom and the gulf region and sustain scientific research environment committed to the ethics of scientific research. Objectives Implement a variety of graduate studies program to be updated with the latest advances in science and technology that meet the requirements of the labor market. Prepare distinguished and efficient researchers in Mathematics and in Statistics. Prepare graduates for joining the labor market by being mathematicians or statisticians. Prepare graduates to pursue PhD studies in prestigious universities. Contribute to provide an excellent research environment for conducting scientific and applied research works that serve the community. Contribute to enrich the knowledge and to exchange the scientific expertise and competencies with other universities and research centers. CollegeCollege of ScienceCampusRayyan - DammamTrackScience and ManagementLevelPostgraduateDegreeMScGenderFemale, MaleYears of study2The study in the program is based on course and thesis, where the study of the courses be in three consecutive semesters, where the student in the first semester studies common courses, then the student specializes in the second semester in one of the following three disciplines: 1. Pure Mathematics 2. Applied Mathematics 3. Statistics In the program, the student will study (26) units divided by the following: (20) units for core courses, (6) units for elective courses, in addition to preparing a scientific thesis (6) units in the field of specialization . Admission A bachelor’s degree of science in Mathematics is required, with an accumulative GPA not less than 3.75 out of 5. The student who is holding bachelor of Education in Mathematics provided that he finishes the complementary courses required by the department. The student must pass the qualification exam approved by the department committee. The student must score 4.5 in IELTS or in another equivalent English language proficiency test approved by the higher education deanship. Year description In the program, the student will study (26) units divided by the following: (20) units for core courses, (6) units for elective courses, in addition to preparing a scientific thesis (6) units in the field of specialization . Study planThe Master of Science in Mathematics comprises three specialized tracks which are Pure Mathematics, Applied Mathematics, Statistics. The number of units (33) units. The study includes the following: - 5 Compulsory Courses that include 4 General Compulsory Courses (total 11 units) in addition to the Research Seminar allocated one unit. - 3 Specialized Compulsory Courses satisfying 3 units for each course (total 9 units). - 2 Elective Courses chosen from one of the lists A or B or C satisfying 3 units for each course (total 6 units). - Prepare a scientific thesis allocated 6 units. First year Semester one Course ID Course title Credit hours Contact hours Pre-requisite track Pure Mathematics Math523 Applied analysis1 4.50 - - Math524 Partial Differential Equation 1 4.50 - - Math526 Software Mathematical Package 3 - - track Applied Mathematics Math523 Applied analysis1 4.50 - - Math524 Partial Differential Equation 1 4.50 - - Math526 Software Mathematical Package 3 - - track Statistics Math523 Applied analysis1 4.50 - - Math524 Partial Differential Equation 1 4.50 - - Math620 Advanced Probability Theory 4.50 - - Semester two Course ID Course title Credit hours Contact hours Pre-requisite track Pure Mathematics Math525 Numerical Linear Algebra 4.50 - - Math592 General Topology 4.50 - Applied analysis1 Math531 Complex variables 4.50 - - track Applied Mathematics Math525 Numerical Linear Algebra 4.50 - - Math535 Mathematical modeling 4.50 - Partial differential equations Math554 Integral equations and transforms 4.50 - - track Statistics Math525 Numerical Linear Algebra 4.50 - - Math526 Software Mathematical Package 3 - - Math622 Statistical Inference 4.50 - Advanced Probability Theory Semester three Course ID Course title Credit hours Contact hours Pre-requisite track Pure Mathematics Math605 Advanced Algebra 1 4.50 - - list A Elective course 3 - - track Applied Mathematics Math537 Numerical methods for partial differential equations 4.50 - Partial differential equations list B Elective course 4.50 - - track Statistics list C Elective course 4.50 - - Math522 Research seminar 1.50 - - Second year Semester one Course ID Course title Credit hours Contact hours Pre-requisite track Pure Mathematics list A Elective course 3 - - Math522 Research seminar 1.50 - - Math520 Thesis 3 - - track Applied Mathematics list B Elective course 4.50 - - Math522 Research seminar 1.50 - - Math520 Thesis 3 - - track Statistics MATH 626 Regression Analysis 4.50 - - list C Elective course 4.50 - - Math 622 Statistical Inference 3 - - Math520 Thesis 3 - - Semester two Course ID Course title Credit hours Contact hours Pre-requisite track Pure Mathematics Math520 Thesis 3 - - track Applied Mathematics Math520 Thesis 3 - - track Statistics Math520 Thesis 3 - - Semester three Course ID Course title Credit hours Contact hours Pre-requisite track Pure Mathematics Math520 Thesis 3 - - track Applied Mathematics Math520 Thesis 3 - - track Statistics Math520 Thesis 3 - - Electives Course ID Course title Credit hours Contact hours Pre-requisite Elective Course List (A) Math530 Applied Analysis 2 4.50 - Math523 Math531 Complex Variables 4.50 - - Math532 Advanced Ordinary Differential Equations 1 4.50 - - Math533 Discrete Mathematics 1 4.50 - - Math534 Discrete Mathematics 2 4.50 - Math533 Math536 Advanced Numerical Analysis 4.50 - - Math538 Numerical Methods for Ordinary Differential Equations 4.50 - Math532 Math539 Computational Mathematics 1 4.50 - Math536 Math540 Computational Mathematics 2 4.50 - Math525 Math541 Fourier Analysis and Applications 4.50 - - Math551 Inverse and Ill Posed Problems 4.50 - Math524, Math525, Math537 Math552 Linear Optimization 4.50 - Math525, Math523 Math553 Nonlinear Optimization 4.50 - Math525, Math523 Math550 Finite Element Method 4.50 - Math524 Math555 Special Functions 4.50 - - Math583 Harmonic Analysis 4.50 - Math 523 Math556 Wavelets and Fractals 4.50 - Math 541 Math565 Dynamical Systems 4.50 - Math 536, Math554 Math566 Mathematical Theory of Elastodynamics 4.50 - Math 536, Math554 Math567 Fluid Mechanics 4.50 - Math 524 Math569 Quantum Mechanics 4.50 - Math 525,Math523 Math570 Mathematical Theory of Heat Conduction 4.50 - Math 524 Math580 Advanced Functional Analysis 4.50 - Math523 Elective Course List (C) math623 Stochastic processes 4.50 - math620 math624 Multivariate Statistical Analysis 4.50 - math622 math625 Sampling Theory 4.50 - math622 math627 Nonparametric Methods 4.50 - math622 math628 Time Series Analysis 4.50 - math620 math629 Experimental Design 4.50 - math620 math630 Stochastic Calculus 4.50 - math620