The KAUST AMS Program 2026 in Saudi Arabia is an exciting fully funded opportunity for students and recent graduates interested in applied mathematics, computational science, statistics, physics, and related disciplines. Organized by the Computer, Electrical and Mathematical Sciences and Engineering Division at King Abdullah University of Science and Technology (KAUST), the Applied Mathematics School gives promising young researchers the opportunity to spend one week learning, networking, and exploring advanced research areas at one of Saudi Arabia’s leading research universities.
The program will take place from 30 November to 4 December 2026 at KAUST. It is designed for recent graduates, senior undergraduate students, and current master’s students from around the world. Selected participants will receive financial support covering the major costs associated with attending the program, including accommodation, a stipend, logistics, and visa support.
Beyond financial assistance, KAUST AMS provides participants with direct exposure to experienced researchers, advanced facilities, keynote presentations, practical sessions, academic networking, and social activities. The program can therefore be an excellent opportunity for students who want to strengthen their academic knowledge, discover new research interests, and build connections within the international applied mathematics community.
The KAUST Applied Mathematics School (AMS) 2026 is a one-week visiting program hosted by King Abdullah University of Science and Technology in Saudi Arabia. The school focuses on advanced developments and applications in applied mathematics, computational science, and statistics.
The program brings together talented students and recent graduates with researchers and faculty members working in different areas of mathematical sciences. Through lectures, practice sessions, keynote speeches, networking opportunities, and social events, participants gain a broader understanding of how mathematical concepts can be applied to real-world scientific and technological challenges.
The 2026 edition will be held from 30 November to 4 December 2026. Since the program is fully funded, successful applicants can attend without having to bear the major expenses associated with accommodation, travel logistics, and visa-related support.
For students considering graduate studies or research careers, the KAUST AMS School can also provide valuable insight into advanced academic environments and potential research directions.
One of the most attractive features of this opportunity is its comprehensive funding package. Selected participants can benefit from several forms of financial and academic support.
KAUST AMS is a fully funded program, meaning selected participants receive support designed to cover the main costs of attending the one-week school.
Participants receive a stipend to help cover living expenses during the program. This makes it easier for students to participate without facing significant personal financial costs.
Selected students receive free accommodation on the KAUST campus during the program.
Staying on campus also allows participants to interact more easily with other students, researchers, and members of the academic community.
The program provides logistics and visa support to selected international participants. This can simplify the process of preparing for the academic visit to Saudi Arabia.
Participants will have access to KAUST’s research environment and top facilities. This provides an opportunity to experience an internationally oriented research university and learn from researchers working in mathematical sciences and related fields.
The school exposes participants to advanced areas of applied mathematics, computational science, and statistics. This can help students identify potential research interests and better understand how different mathematical methods are used in scientific research.
Students who successfully complete the program receive a certificate of completion. This can provide useful evidence of participation in an international academic program and research-focused training experience.
The program is not simply an opportunity to visit a university. It is structured to provide participants with an intensive academic and networking experience.
Participants can attend keynote speeches and practice sessions covering selected areas of mathematical research. The program also creates opportunities to interact with AMCS groups and other members of the KAUST research community.
The school may cover topics such as Fractional Laplacian Uncovered, Modeling of Water Waves, Mathematical Biology: Modeling and Analysis, and the Mathematics of Price Formation. These subjects demonstrate the broad range of applications within modern applied mathematics.
For students who are still deciding on a future specialization, exposure to several research areas can be particularly valuable. It can help them understand how mathematical theory connects with physics, biology, computational science, economics, and other disciplines.
The KAUST AMS Program is intended for students and early-career researchers with a strong interest in mathematical sciences.
Applicants should generally fall into one of the following categories:
The program is open to both undergraduate and master’s students, provided they have an appropriate academic background and an interest in applied mathematics or related research areas.
Before submitting an application, candidates should carefully review the official requirements and ensure that their academic background matches the program’s expectations.
Applicants should prepare their application materials before beginning the online application. Based on the program information, the key documents include:
An important point for prospective applicants is that recommendation letters are not required for the KAUST AMS application. This can make the application process more straightforward and allows candidates to focus on presenting their academic background, interests, and qualifications clearly.
Applicants should make sure that all uploaded documents are accurate, readable, and prepared according to the application instructions.
Applying for the KAUST AMS School 2026 involves several important steps. Candidates should begin early to avoid technical or documentation problems close to the deadline.
First, confirm that you are a recent graduate, senior undergraduate, or current master’s student in mathematics, statistics, physics, or a related discipline.
Prepare your CV, official transcripts in English, passport copy, and any other required information. Review your documents carefully to ensure that the details are consistent.
Visit the KAUST application platform and create an account if you do not already have one.
Fill out the application form carefully. Provide accurate academic and personal information and explain your interest in the Applied Mathematics School where appropriate.
Upload your CV, transcripts, passport copy, and other requested materials. Remember that recommendation letters are not required.
The application deadline for the KAUST AMS Program 2026 is 10 September 2026. Candidates should submit their applications before the deadline rather than waiting until the final day.
Shortlisted applicants may be invited to an interview with KAUST faculty and administration. Candidates should be prepared to discuss their academic background, interests, and motivation for participating in the school.
Applicants should use the official KAUST program page for the latest application instructions and submission process:
Apply to the KAUST Applied Mathematics School.
The KAUST AMS School offers more than financial support. It gives students an opportunity to experience an international research environment and interact with people working in advanced areas of mathematical science.
For undergraduate students, the program can provide an early introduction to research and help them make informed decisions about postgraduate education. Master’s students can use the experience to expand their research perspective and develop connections with researchers and fellow students.
The international nature of the program is another major advantage. Participants can meet students from different academic and cultural backgrounds while building professional relationships that could continue beyond the one-week school.
The combination of academic sessions, practical activities, networking, and social events makes the program particularly valuable for students who want both intellectual development and international exposure.
Applicants should keep the following dates in mind:
Because the application deadline comes well before the start of the program, candidates should begin preparing their documents as early as possible.
KAUST AMS School 2026 is a fully funded one-week visiting program in Saudi Arabia focused on applied mathematics, computational science, and statistics. It will take place from 30 November to 4 December 2026.
Recent graduates, senior undergraduate students, and current master’s students in mathematics, statistics, physics, or a relevant field can apply. The opportunity is open to applicants from around the world.
Yes. The program provides funding that includes a stipend, accommodation, logistics, and visa support. Selected participants can also access KAUST facilities and receive a certificate after completing the school.
The application deadline is 10 September 2026. Applicants should submit their completed applications before the deadline.
The school covers different areas of applied mathematics and computational science. Topics listed for the program include fractional Laplacian research, water-wave modeling, mathematical biology, and the mathematics of price formation.
The program is held at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia. Participants stay on campus during the one-week program.
No. Recommendation letters are not required for the KAUST AMS application according to the provided program information.
Yes. Participants receive a certificate of completion after successfully completing the one-week program.