Applications for admission to the program are processed by the College of Science (more information here). Students can apply for admission during the 1st semester or 2nd semester.

Aside from the general requirements for admission set forth by the College of Science, applicants of the MSAM program must have a bachelor’s degree from a recognized institution of higher learning, and completion of Advanced Calculus and Linear Algebra courses, among others.

For more inquiries, please send an email to ddapr@math.upd.edu.ph.

A student may opt to take the thesis option or the non-thesis option. The maximum residence of any student under the MSAM program is five (5) years.

For the thesis option, students are required to take 24 units of formal graduate courses, 1-unit graduate seminar, and 6 units of thesis. The thesis which will have to be defended before an Examination Committee. Submission of bound copies of the thesis will also be required.

For the non-thesis option, students are required to take 33 units of formal graduate courses, 1-unit graduate seminar, a preliminary (written) examination, and a qualifying (oral) examination.

The Mathematical Finance track of the MSAM program aims to:

1. provide the mathematical concepts and techniques used in stochastic calculus and mathematical finance.
2. provide basic knowledge on probability and statistics, economics, and the like for various problem solving skills in relation to finance and business applications.
3. orient and train students in areas of optimal investment strategy and alternative finance.
4. prepare a pool of skilled individuals equipped with the necessary knowledge in mathematical finance to pursue research or work in the industry.

Core courses include Math 211, Math 220.1 and Math 271. Track courses and electives include Math 265, Math 266, and any 3 additional courses of the ff: Math 250, Math 288, Stat 225, Stat 226, or other courses upon approval of the adviser. Refer to the table below for the curriculum checklist.

First Year

Second Year

Third Year

(for illustration purposes only)

The Mathematics in Life and Physical Science track of the MSAM program aims to:

1. introduce a variety of mathematical models on life and physical sciences.
2. train the students to formulate mathematical models.
3. equip the students with mathematical theory, techniques, and computational tools useful in the analysis and visualization of the dynamics of various mathematical models.
4. provide students an overview of current approaches in this field.
5. emphasize the close connection of models with real measurements depicting underlying mechanisms.
6. prepare students how to identify parameters given experimental data and to validate models.
7. engage the students in research projects arising from current priority areas.

Core courses include Math 211, Math 220.1 and Math 271. Track courses and electives include Math 235, Math 236, and any 3 additional courses of the ff: Math 221, Math 229, Math 250, Math 271.2, Math 288, or other courses upon approval of the adviser. Refer to the table below for the curriculum checklist.

First Year

Second Year

Third Year

(for illustration purposes only)

The Numerical Analysis of Differential Equations track of the MSAM program aims to:

1. develop analytical skills in the study of existence, regularity and properties of solutions of differential equations (DEs) and their applications.
2. equip students with mathematical methods in solving the existence and uniqueness of solutions of DEs.
3. instill the importance of DEs in modeling physical phenomena.
4. train students to use numerical algorithms in solving DEs.
5. engage in fruitful research projects in the various applications of DEs.

Core courses include Math 211, Math 220.1 and Math 271. Track courses and electives include Math 221, Math 271.2, and any 3 additional courses of the ff: Math 222, Math 224, Math 229, Math 281, Math 288, or other courses upon approval of the adviser. Refer to the table below for the curriculum checklist.

First Year

Second Year

Third Year

(for illustration purposes only)

The Optimization and Approximation track of the MSAM program aims to:

1. provide strong foundations in approximation theory and optimization.
2. equip students with techniques in approximation theory and apply them to estimate various mathematical quantities.
3. train students to formulate models of real-life problems, apply the relevant optimization algorithms and analyze the obtained solutions.
4. expose the students to the current trends of research in other areas related to optimization and approximation.
5. engage in quality research projects in the various applications of optimization and approximation.

Core courses include Math 211, Math 220.1 and Math 271. Track courses and electives include Math 222, Math 280, and any 3 additional courses of the ff: Math 221, Math 250, Math 271.2, Math 281, Math 288, or other courses upon approval of the adviser. Refer to the table below for the curriculum checklist.

First Year

Second Year

Third Year

(for illustration purposes only)

Registration Process

Refer to the Graduate Student Guide from the UPD College of Science website.

Program Advisers

For students admitted to the MSAM program, please contact your program advisers listed below for your registration concerns.