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Applied Mathematics

Applied Mathematics at Fulbright

Applied Mathematics is the study and application of mathematical concepts and methods to solve complex problems in a wide range of areas such as natural science, engineering, architecture, business, industry and even psychology and social science. Its omnipresent power to deliver optimum answers is felt and enjoyed in many aspects of life from apparently simple activities such as booking a Grab trip and using the suggestion feature of Netflix to grander-scale projects such as bridge building and sending satellites into space. A close-knit family with data science and artificial intelligence, Applied Mathematics unleashes the enormous computing power that could solve unlimited conventional and unconventional problems that arise from natural phenomena and social needs. At Fulbright University Vietnam, the Applied Mathematics major offers a unique approach that is both theoretically rigorous and highly interactive in a truly interdisciplinary environment. The major will provide strong foundations and advanced knowledge on Linear Algebra, Calculus, and Statistics. The students will explore and be fascinated by real-life applications of Mathematics in many other majors, such as Economics, Engineering, Psychology, Social Sciences, etc., by taking applied elective courses and doing Capstone research. Graduated students would be well equipped with solid knowledge and skills to undertake postgraduate degrees in Mathematics or Statistics as well as to pursue careers in data science (machine learning, AI), engineering (signal processing, financial, optimization and simulation), or social sciences.

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Welcome to the Applied Mathematics Major at Fulbright!

A warm and enthusiastic welcome to all students who share an interest in the Applied Mathematics program, whether you are planning to pursue a degree or simply exploring its captivating courses.
Here at Fulbright University Vietnam, the Applied Mathematics program offers a unique approach that is both theoretically rigorous and highly interactive in a truly interdisciplinary environment. Its well-crafted curriculum allows students to quickly build strong foundational knowledge before moving on to selective advanced topics. At any level, whether in a regular course, an independent study, or a Capstone research, students will have opportunities to rediscover important mathematical concepts and ideas and to explore and be fascinated by real-life applications of Mathematics in many other majors, such as Computer Science, Economics, Engineering, Psychology, and Social Sciences.
Upon graduation, students will be well-equipped with solid knowledge and skills to undertake postgraduate degrees in Mathematics or Statistics, as well as to pursue exciting careers in data science, quantitative finance, engineering, or social sciences.
Our dedicated math faculty is committed to your growth and triumph. We’re here to share our expertise, knowledge, and boundless enthusiasm, eager to inspire and guide you through your academic and personal journey. We’re thrilled to accompany you on this chosen path of applied mathematics, ensuring a truly exceptional learning adventure. Welcome aboard!

Dr. Van Phung Truong Son

For more information about the Applied Mathematics major, please contact our Major coordinator at son.van@fulbright.edu.vn

Academic spotlight

academy
In April 2023, students from Fulbright University Vietnam competed for the first time in two popular academic arenas across the country: the 29th National Mathematical Olympiad and the 11th National Chemistry Olympiad for Students. See more
academy
Get-together-lunch for students majoring/minoring in Math
Make a gift to Applied Mathematics

Degree Requirements

A Bachelor of Science in Applied Mathematics is awarded following the successful completion of:

General education:

  • 5 Core courses (20 credits) and 8 Exploratory courses (32 credits), of which up to two Exploratory courses (8 credits) can be counted towards the major.
  • Experiential Learning (4 – 12 credits).

Regular Major Requirements:

  • Required foundation courses: Linear Algebra, Calculus, Introduction to Statistics, Multivariable Calculus (16 credits).
  • 1 writing course (History of Mathematics/Ideas in Mathematics) (4 credits).
  • 2 intermediate courses (8 credits).
  • 1 Pure Mathematics course (4 credits).
  • 2 advanced courses in specialized areas of study (8 credits).
  • 2 elective applied courses approved by the major coordinator (at least one at 200 level) (8 credits).
  • Research seminar (4 credits)
  • Capstone I and Capstone II (8 credits) for Honors program.
  • OR 2 advanced courses (at most one elective applied course).

Sample Student Journey:

Year 1
  • Core Courses
  • Exploratory Courses
  • Linear Algebra
  • Intro to Stats
  • Calculus
Year 2
  • Core Courses
  • Exploratory Courses
  • Multivariable Calculus
  • Ideas in Mathematics
  • Intermediate Courses
Year 3
  • Research Seminar
  • Experiential Learning
  • Elective Applied Courses
  • Advanced Courses
  • Pure Math Course
Year 4
  • Elective Applied Courses
  • Capstone I
  • Capstone II
  • OR 2 Advanced Courses

Minor Requirements

The goal of the Minor in Applied Mathematics is to provide the student with significant mathematical skills and a perspective on the discipline. Students with a great interest in Mathematics can deepen his/her knowledge while pursuing a major in another field. To earn a Minor in Applied Mathematics, students need to complete at least 6 Mathematics courses which include at least 1 Advanced course and 2 Intermediate courses.

Requirements for Declaring Applied Mathematics Major and Minor

Students need to complete at least 2 Foundation courses or 1 Foundation and 1 Intermediate courses.

Graduation with Honors Requirements

  • Student must complete Capstone I and Capstone II
  • The Capstone must be graded as Honors pass

Sample course list

Foundation Courses (100 level): Foundation courses are required for all students who wish to pursue a major in Applied Mathematics. These courses introduce students to the essential elements of modern mathematics.

  • Linear Algebra
  • Single variable Calculus
  • Introduction to Statistics
  • Multivariable Calculus

Intermediate Courses (200 level): Intermediate courses explore Mathematics in more specific flavors. In these courses students begin to narrow their areas of study. Students will take at least 2 intermediate courses.

  • Probability
  • Differential Equations
  • Discrete Mathematics

Pure Mathematics courses: These courses provide the essential abstract concepts and structures that connect various branches of Mathematics and help students understand the adaptability of Mathematics to different types of problems. Students are required to take at least 1 Pure mathematics course.
Sample Pure mathematics courses

  • Abstract Algebra
  • Real Analysis

Advanced Courses (300 level): Advance courses help students shape their study path into one of the applied fields. There are, but not limited to, three main categories of areas with applications in Mathematics:

  • Applied Statistics (Economics, Social Sciences, Mathematical Finance, Bioinformatics…)
  • Engineering Mathematics (Signal processing, Numerical simulation, Inverse problems…)
    Data Science (Machine learning, Artificial intelligence …)

Students will take at least 2 advanced courses. Consultation with an academic advisor is required for course selection.

  • Advanced Statistics
  • Statistical Learning
  • Stochastic Calculus
  • Numerical Analysis
  • Optimization
  • Partial Differential Equations

Elective Applied courses: These are the courses from other majors that emphasize the applications of Mathematics. Students will have to take at least 2 applied courses (at least one at 300 level). If there is any prerequisite, students need to either complete the course’s prerequisites or obtain the instructor’s approval.

  • Applied Statistics:
    • Econometrics
    • Bioinformatics
    • Neuroscience
    • Mathematical Finance
  • Engineering Mathematics:
    • Digital signal processing
    • Image/Audio/Video processing
    • Numerical simulation of engineering systems
    • Inverse problems in engineering
    • Operation Research
  • Data science:
    • Machine learning
    • Deep learning
    • Artificial intelligence
    • Cryptography
    • Database management
  • Research seminars: The seminars provide chances for students to understand about faculty’s research as well as recent developments in mathematical research. Students will also practice basic research skills such as finding resources, writing literature review, and identifying research methodology.
  • Capstone project (optional): This is a one year long research project to be completed in the last year of study. The project deliverable is either a research paper or a product which contributes to the knowledge of mathematics or its applications.
  • dropdown dot Foundation Courses (4 required)

    Foundation Courses:

    • Linear Algebra
    • Single variable Calculus
    • Introduction to Statistics
    • Multivariable Calculus
  • dropdown dot Mathematical Writing Course (1 required)

    Mathematical Writing Course:

    • History of Mathematics
    • Ideas in Mathematics
  • dropdown dot Intermediate Courses (2 required)

    Intermediate Courses:

    • Probability
    • Differential Equations
    • Discrete Mathematics
  • dropdown dot Pure Mathematics Course (1 required)

    Pure Mathematics Course:

    • Abstract Algebra
    • Real Analysis
  • dropdown dot Advanced Courses (2 required)

    Advanced Courses:

    • Advanced Statistics
    • Statistical Learning
    • Stochastic Calculus
    • Numerical Analysis
    • Optimization
    • Partial Differential Equations
  • dropdown dot Elective Applied Courses (2 required)

    Elective Applied Courses:
    (at least one at 200 level)

    Applied Statistics:

    • Econometrics
    • Bioinformatics
    • Neuroscience
    • Mathematical Finance

    Engineering Mathematics:

    • Digital signal processing
    • Image/Audio/Video processing
      Numerical simulation of engineering systems
    • Inverse problems in engineering
    • Operation Research

    Data science:

    • Machine learning
    • Deep learning
    • Artificial intelligence
    • Cryptography
    • Database management
  • dropdown dot Math Research Seminar (1 required)
  • dropdown dot Capstone I & II (required for Honors) OR Advanced Courses (2 required, at most 1 Elective Applied Course)

Meet our faculty

Our faculty combines global experience and local insight, driving our commitment to providing you with academic excellence.

Featured faculty

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Dr. Hieu Nguyen was born in a small village in Thai-Binh, a northeastern province in Vietnam. He graduated from the College of Science, Vietnam National University, Hanoi, in 2003 with a Bachelor of Science degree in Mathematics. He then obtained his Master of Arts and Ph.D. in Mathematics from the University of California, San Diego, in 2006 and 2010, respectively. Before joining FUV in August 2022, he was a lecturer at Duy Tan University from 2016-2022 and a postdoctoral scholar at various institutions in the US and the EU from 2010-2016. His research focuses on formulating, analyzing, and developing numerical algorithms to solve partial differential equations, especially at large scales on supercomputers. He is also interested in optimization algorithms in Machine Learning and their applications in Geoscience, Civil Engineering, and Traffic Monitoring and Management. Particular applications of his research include simulations of earthquakes, surface-subsurface hydrology, multiphase flows in porous media, prediction of landslides, soil erosion, and estimation of physical properties in civil engineering. In addition to being an active researcher, Hieu is also an enthusiastic educator. He strongly believes in active learning and learning-by-doing. His courses are integrated with real-life and research problems to make them as relevant and interesting as possible. Not only is he approachable in the classroom environment but also outside of classes. He constantly looks for motivated students to join him on projects in computational mathematics and machine learning.
Dr. Nguyen Trung Hieu, Senior Faculty of Mathematics See more

Meet our Fulbrighters

Come and learn how Fulbright has impacted the lives of our current students and graduates.

Featured student

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“Even though I was a Mathematics student in high school for the gifted, I joined Fulbright University with the mindset of a liberal arts student to explore various fields of major. However, I ended up choosing to major in Applied Mathematics. This decision wasn't because I was afraid to step out of my comfort zone, but because I genuinely believe that Applied Mathematics at Fulbright is an excellent academic program. Indeed, as science and technology progress, Mathematics is progressively gaining heightened significance across all disciplines. Fulbright, in my perception, offers an ideal environment to cultivate this area. What stands out the most here is the dedicated team of professors who are highly knowledgeable and genuinely care about their students. I'm really impressed by them. They not only deliver great lectures but also work hard every day to make it even better. At the same time, they're always ready to help and create the best possible learning experience for us, which I really appreciate.”
Nguyen Cong Thanh, Class of 2025 Collapse
Class of 2025
  • Hà Huy
  • Nguyễn Văn Dũng
  • Hoa Thi Thuy Linh
  • Nguyễn Công Thành
  • Ngo Phuong Nam
  • Tran Kim Ngan
  • Nguyen Hoang Ngoc Ha
  • Truong Tran Nhat Huy
Class of 2024
  • Vu Thi Hong Linh
  • Nguyễn Đình Thạch Lam
  • Bùi Nguyễn Thúy An

Selected Faculty Publications

Dr. Nguyen Trung Hieu

Balancing domain decomposition by constraints and perturbation, SIAM Journal on Numerical Analysis 54 (6), 3436-3464, 2016, with Santiago Badia

Dr. Le Nhat Tan

Pricing American-style Parisian up-and-out call options, European Journal of Applied Mathematics 29 (1), 1-29, 2018, with Xiaoping Lu, Song Ping Zhu, Wenting Chen

Dr. Van Phung Truong Son

Coagulation-Fragmentation equations with multiplicative coagulation kernel and constant fragmentation kernel, Communications on Pure and Applied Mathematics 75 (6), 1292-1331, 2021, with Hung V. Tran

Dr. Tran Vinh Linh

Sparse random graphs: Eigenvalues and eigenvectors. Random Structures & Algorithms, 2013 Co-authored: VH Vu, K Wang

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