Bachelor of Science in Applied Mathematics (BSAM) allows students to gain proficiency in the use of mathematical principles to model real-world phenomena. Possessing a strong foundation in various mathematical theories and techniques, students can apply their knowledge across various fields such as technology, engineering, finance, business, economics, social sciences, and academic work. Under this program, they learn the use of both basic and advanced tools for data analysis, modeling, and optimization. They are also imbued with the ability to make informed decisions based on research, therefore allowing them to critically and creatively address socially-relevant concerns.
The Applied Mathematics curriculum focuses on core subjects pertaining to both pure and applied mathematics. These intellectual techniques rest on a body of liberal arts subjects, providing not only a well-rounded education but also the ability to apply one’s mathematical skills across different topics of interest. Thus, students can approach a multitude of problems using systematic research and yield results and rules that are valid across a wide array of circumstances. Through the numerical simulation of reality, the student works on complex issues whose resolution will contribute to a better world.
Applied Mathematics currently has two elective tracks:
This track responds to the increasing importance of data analysis in various fields, granting students the ability to draw relevant and actionable conclusions from data. Students learn to become competent data scientists through courses specifically chosen for their real-world applications.
For this track, students learn relevant programming skills alongside those needed for mathematical analysis, allowing them to use their methods of statistics and predictive modeling to make business-impacting decisions. This aims to help them find novel solutions that will prove instrumental in the growth and progress of the industry in which they choose to specialize.
This track also allows students to pursue advanced education in the distinct but related disciplines of mathematics, statistics and those relating to big data processing, machine learning, data warehousing, data mining, and similar fields.
This track is designed for those who wish to use their mathematical modeling skills to create software and systems. This opens a career in the technology industry, where the student uses his abilities in the deployment and management of IT resources.
The track will ingrain best practices in the development of processes that will directly benefit the organization, while also tackling social issues that could find solutions using technological tools. The subjects covered will allow students to gain proficiency in hardware support, applications development, systems analysis, and various programming languages.
As all forms of technology fundamentally rely on mathematical principles, this track allows students to better understand the underlying concepts, so they can tackle issues more effectively. As information technology is a wide field spanning areas from web design and development to computer networking, students pursuing this track have multiple options for advanced education.
BSAM graduates belong to Level VI (Baccalaureate) of the Philippine Qualifications Framework (PQF) under qualification code number 60541 as well as under the ASEAN Qualifications Reference Framework (AQRF).
The BSAM program welcomes all interested students from any senior high school track who pass the FEU College Admission Test.
Click or tap on the sections below to learn more about this program.
The Bachelor of Science in Applied Mathematics is compliant with the Policies, Standards and Guidelines (PSG) set out by the Commission of Higher Education (CHED) for Applied Mathematics and courses in Data Science and Information Technology. Under this mandate, a graduate of this program is prepared to:
Do research or program jobs that require analytical thinking, problem solving, and modeling techniques and strategies vital to a wide variety of applications;
Pursue higher studies or work in a variety of fields; and
Exhibit skill in powerful quantitative data analysis techniques using advanced programming languages and computational software packages.
Following are the specific outcomes expected from graduates of the program and their respective tracks:
Upon completing the program, BS Applied Mathematics graduates can:
Demonstrate and communicate with precision, clarity, and organization broad and coherent knowledge and understanding in the core areas of mathematics in both oral and written forms;
Demonstrate skills in pattern recognition, generalization, abstraction, critical analysis, logical reasoning, synthesis, problem-solving and rigorous argument;
Appreciate the concept and role of proof and reasoning and demonstrate knowledge in reading and writing mathematical proofs;
Make and evaluate mathematical conjectures and arguments and validate their own mathematical thinking;
Implement fundamental mathematical, statistical, and computational methods and modeling in problem-formation, quantitative data analysis and problem solving;
Develop an enhanced perception of the vitality and importance of mathematics in the modern world including the connections between different areas of mathematics, and between mathematics and other disciplines; and
Exhibit basic and deep knowledge and skills within an interdisciplinary-work environment.
INFORMATION TECHNOLOGY Track
Upon completing the program, graduates of the BS Applied Mathematics – Information Technology track can:
Demonstrate mastery of Information Technology in the following core knowledge areas:
Algorithms, Data Structures, and Complexity
Programming and Software Development
Web and Digital Communication
Apply problem-formation and problem-solving skills, and the knowledge of information technology and other domains to address real-world problems; and
Design and develop computing solutions using a system-level perspective and utilization of modern computing tools.
DATA SCIENCE Track
Upon completing the program, graduates of the BS Applied Mathematics – Data Science track can:
Use programming skills and appropriate statistical and quantitative methods to analyze and interact with data;
Demonstrate an understanding of the concepts and principles of software systems and machine learning to be able to collect and manage complex and big datasets, and apply and use appropriate models of analysis to devise solutions to data science problems; and
Effectively visualize and communicate data to any audience to facilitate the effective presentation of data-driven insights orally, visually, and in written formats.
BSAM (Data Science, IT Tracks) opens a high to entry-level career options in various institutions, such as financial companies, investment and insurance companies, consumer banks, healthcare and medical device companies, manufacturing companies, producers of petroleum and petroleum products, professional services firms, information technology firms, retail firms, academic institutions, research institutes, and government agencies. These career pathways include:
applications software developer
big data engineer
business intelligence developer
chief technology officer
data security analyst
financial market analyst
front-end web developer
full stack developer
junior QA analyst
junior web designer
human resource practitioner
lead business analyst
network security administrator
network security engineer
operations research analyst
QA team coordinator
quality systems and compliance manager
senior QA analyst
senior test manager
senior UX architect
senior web designer
systems software developer
web art director
The two following infographics illustrate the specific career pathways of the two BSAM tracks:
The Applied Mathematics furnishes a comprehensive education for future programmers, data analysts, data handlers, data scientists, and specialists in information technology. It uses a customized curriculum with two tracks with multiple teaching-learning strategies, delivery modes, and assessments.
For the first two years of the BS Applied Mathematics program, students are required to take General Education (GE) courses to instill critical thinking and higher-order analytical skills in order for them to acquire proficiency in independent and collaborative learning. The GE curriculum is a university-wide endeavor that employs liberal arts to prepare learners for specialized coursework, advanced programming, and mathematical research later in the program.
Along with the GE courses, fundamental courses in mathematical theories and programming, such as discrete mathematics, elementary analysis and fundamentals of computing, are also included within the first two years of undergraduate study. These core courses are designed to establish key theories and basic knowledge in mathematics and information technology.
The two tracks offered vary in their specializations, as follows:
The Data Science track is designed to equip students with mathematical analysis and quantitative techniques along with relevant programming skills, that will enable them to draw accurate conclusions from data. It is intended to gear students who wish to be future data scientists. A capstone project colloquium is included where students will present their usable/public data product drawn from real-world problems and will be conducted with industry, government, and academic partners.
Internship is included in the BS AM-Data Science curriculum, which exposes the students to the real-world applications of data science in an actual working environment. This training endows the students with integral skills required for a competent data scientist upon graduation.
The Information Technology prepares students with mathematical principles, modelling skills, and pertinent programming prowess that will allow them to competitively venture into the technology industry. This is intended for students who wish to pursue a career in web design, application development, system analysis, and IT resource management. A research colloquium is also included where students will discuss their research findings regarding relevant mathematical theory. Also, a software development project colloquium is included where students will discuss and present their developed software or mobile applications and will be judged and graded based on various technical, organizational, project and team considerations.
Internship is also included in the BS AM-Information Technology curriculum, as this introduces the students to actual industrial scenarios where technological tools develop solutions for the benefit of organizations. This training imparts relevant technological skills and practices essential in any field employing technology in the information industry.
The BS Applied Mathematics program also considers the well-being and work-life balance of the students. Throughout their stay in the university, they are encouraged to develop their own Wellness and Recreation Program (WRP). The WRP is an adaptive university-wide program wherein students can enlist in courses of various interest intended to develop their physiological and psycho-social fitness as well as encourage social responsibility and community involvement.
The BS Applied Mathematics program utilizes different teaching-learning approaches tailored to address student needs and to groom them as lifelong learners and experts in the field of data science and information technology. These approaches include the following:
In line with the university’s learning paradigm, the BS Applied Mathematics employs dynamic and collaborative work that encourage active learning among our students. These include computer laboratory activities, project supervision, oral presentations, and off-campus engagements, among others.
The program understands the essence of honing the students’ theoretical knowledge in mathematics and its related applied disciplines, which is made possible through lectures, discussions and presentations.
The professional courses under BS Applied Mathematics enable students to understand and implement the interdisciplinary nature of mathematics through its technological applications over any scientific field. At the same time, students are immersed in humanities and social science disciplines through the GE curriculum.
Adapting to modern advancements, the program uses online virtual classrooms, self-study modules, video presentations, online simulations, and other trusted learning technologies. The university uses Canvas, a world-class learning management system, to facilitate this mode of delivery.
The program makes use of situational analysis and problem-solving tools in enhancing critical thinking skills among its students.
As a program that heavily leans on current trends in technology, BS Applied Mathematics encourages its students to develop their research interests and undertake research endeavors through papers and presentations during their stay in the program. This is designed to enhance their critical thinking skills and to keep them abreast with the latest advances in information industry.
Assessment and Research
BS Applied Mathematics employs a wide variety of assessment tasks based on student needs. Invoking academic freedom, teachers and students may openly negotiate their roster of assessments for each course. Teachers are also encouraged to develop relevant formative assessments crafted to prepare learners for culminating summative assessments.
Assessment tools and techniques include problem sets, summative tests and quizzes, machine problems, software projects and presentations. Research work is integral to both courses, as students are also required to present efficiently working projects and defend their theses or capstone projects before they complete the program.
Students must complete at least 400 hours of internship with our industry partners and government agencies.
These partners have existing memoranda of agreement (MOAs) with either the University or the Institute of Arts and Sciences.
Learners must complete a total of 3,636 hours of course work and 400 hours of field work under internship for Information Technology Track and 3,708 hours of course work and 200 hours of field work under capstone projects/internship for Data Science Track. They also must have a minimum quality point average (QPA) of 2.4 by the end of their four-year program.