Academic Programs

Master of Science in Mathematics


General Info

Brief Description of the Major Field


The M.Sc. Mathematics program is designed to give students sufficient academic preparation for careers that require mathematical expertise in the academe, industry and government. It also serves as a preparatory course for a PhD degree in pure or applied mathematics and related fields, and provides the important foundation and training needed for research and teaching in mathematics.


Prospective Students

Prospective students of the program must have finished a baccalaureate degree in pure or applied mathematics or any related field. They must possess sufficient knowledge of the foundational concepts in undergraduate mathematics such as logic, set theory, advanced calculus, and abstract algebra.




As mathematics is a central resource for almost all disciplines of study, including but not limited to, education, operations research, actuarial science, biology, chemistry, statistics, physics and engineering, finance and economics, computer science and information theory, graduates of the M.Sc. Mathematics program, who achieve a higher level of mathematical maturity, are expected to perform better and establish successful careers in research, teaching and in various professions.


Requirements and Mechanics to Graduate

The Master of Science in Mathematics contains a total of 34 units broken down into 18 units of core courses (MATH 211, MATH 213, MATH 222, MATH 225, MATH 230, MATH 231), 9 units of electives , 6 units of thesis (MATH 300); and 1 unit of seminar (MATH 299).

The 9 units of electives should be 200-level courses. They can be chosen from one program, such as statistics, economics, computer science, engineering, education management or systems biology; or all can be mathematics or applied mathematics courses such as algebra, analysis, geometry, combinatorics, coding theory or mathematical programming. The electives can be also be any combination of courses from various programs. Major electives can also be chosen from the following courses: AMAT 266, AMAT 267, MATH 215, MATH 217, MATH 220, MATH 235, MATH 291


 Graduate Courses

AMAT 266. Deterministic Mathematical Decision Models (3). Linear models; inventory modes; integer programming and combinatorial models; elementary dynamic programming models; introduction to nonlinear programming. 3 hrs (class). PR. AMAT 160 or COI. (1)

AMAT 267. Probabilistic Mathematical Decision Models (3). Basic concepts and application of probabilistic mathematical decision models such as queuing, inventory, dynamic programming and simulation, inventory, dynamic programming and simulation models. 3 hrs (class). PR. AMAT 160 or COI. (2)


MATH 211. Abstract Algebra (3). Binary operations, algebraic systems such as semigroups, rings integral domains, field, extensions. 3 hrs (class). PR. MATH 111. (1)

*MATH 213. Theory of Matrices (3). Operations on matrices; canonical forms, determinants; characteristic equations; eigen values. 3 hrs (class). PR. MATH 120. (1)

MATH 215. Coding Theory and Cryptography (3). Concepts and mathematical theory of error-correcting codes, encryption and decryption schemes. 3 hrs (class). PR. MATH 111. (1)

MATH 217. Algebraic Combinatorics (3). Discrete structures from an algebraic perspective. 3 hrs (class). PR.

MATH 211. (2)

MATH 220. Algebraic Geometry (3). Concepts and theorems of algebraic geometry. 3 hrs (class). PR. MATH 211. (1)

MATH 222. Finite Geometrics (3). The finite plane, projective plane, affine plane, hyperbolic plane; Galois geometries; combinatorial applications of finite geometries; finite inversive geometry and block design. 3 hrs (class). PR. MATH 211. (2)

MATH 225. Topology (3). Topological spaces; bases and subbases; continuity; metric spaces; separation axioms; compactness; product spaces; connectedness. 3 hrs (class). PR. MATH 101 or its equivalent. (2)

MATH 230. Real Analysis (3). The real number system; Lebesque measures; Reimann and Lebesque integrals; differentiation and integration. 3 hrs (class). PR. MATH 155. (1)

MATH 231. Functions of a Complex Variable (3). Complex differentiation and integration; analytic continuation; residue theorem; conformal mapping; and some special functions. 3 hrs (class). MATH 155. (2)

MATH 235. Functional Analysis (3). Concepts, principles, methods, and applications of functional analysis; normed and Banach spaces; Hilbert space theory. 3 hrs (class). PR. MATH 213. (2)

MATH 291. Special Topics (1-3). May be taken twice provided that total number of units to be credited to the student’s program will not exceed 4 units. May be taken twice. PR. COI.

MATH 299. Graduate Seminar (1). May be taken twice.(2)

MATH 300. Master’s Thesis (6). (1,2,S)

Faculty Info

Faculty Information


Highest Educational Attainment



Specialization (Based on Program specialization)

Prof. Rolando G. Panopio



Operations research, graph theory, mathematics education

Dr. Rolando E. Ramos


Assoc. Prof.

Graph theory

Dr. Jean O. Loyola


Assoc. Prof.

Semi-group theory, graph theory

Dr. Virgilio P. Sison


Assoc. Prof.

Coding theory (convolutional codes and codes over rings)

Prof. Alleli C. Domingo


Assoc. Prof.

Operations research, mathematics education

Prof. Lynie B. Dimasuay


Assoc. Prof.

Mathematics education

Dr. Ma. Cristeta N. Cuaresma


Asst. Prof.

Algebraic combinatorics

Prof. Genaro A. Cuaresma


Asst. Prof.

Operations research

Dr. Editha C. Jose


Asst. Prof.

Functional analysis, differential equations




































Contact Info

Contact Information


Key Person to contact: The Director, Institute of Mathematical Sciences and Physics, U.P. Los Baños

Contact numbers: Telefax (049) 536-6610

Email Address: This email address is being protected from spambots. You need JavaScript enabled to view it.


Powered by Joomla! and etoro review
University of the Philippines Los Baños Graduate School
College Los Baños, Laguna 4031 Philippines
Copyright 2012 University of the Philippines Los Baños Graduate School. All Rights Reserved.
Sunday the 29th.