Admission Requirements

Applicants must hold a bachelor’s degree in computer and information sciences with a specialization in Scientific Computing.

Target Group

Egyptian and International Students.

Program Duration

One year of Master’s Preparatory Studies.

The maximum period for obtaining the Master’s degree is three years from the date of registration.

Application Periods

Applications for Diploma and Master’s Preparatory Programs are accepted during:

First Semester: August and September of each year.

Second Semester: Applications begin in January.

Credit Hours

24 Credit Hours (Preparatory Coursework).

12 Credit Hours (Master’s Thesis).

Program Advantages

1-Prepares students for careers in scientific and engineering research, modeling, and simulation, while providing a deep understanding of algorithms and computational methods.

2-Equips students with the ability to design and develop advanced computational algorithms from first principles, based on strong mathematical foundations, rather than merely using existing software tools.

3-Introduces High-Performance Computing (HPC), including programming supercomputers and parallel computing systems to process massive datasets beyond the capabilities of conventional computers.

4-Offers broad career opportunities across a wide range of industries and research domains.

5-Extends beyond software companies to high-demand sectors such as scientific research, engineering, energy, healthcare, manufacturing, and advanced technology industries.

6-Provides specialized knowledge applicable to the financial and banking sector, including the development of mathematical models for market forecasting, stock analysis, and quantitative risk management (Quantitative Finance).

Graduate Competencies

Graduates of the program will be able to:

1-Demonstrate proficiency in numerical analysis, mathematical modeling, and scientific programming.

2-Develop mathematical models that represent complex physical, biological, engineering, and financial phenomena through solvable computational frameworks.

3-Design and implement computer simulations that replicate real-world systems, such as aircraft dynamics, epidemic spread, and financial market fluctuations.

4-Apply advanced numerical analysis techniques and approximation algorithms to solve complex differential equations and scientific problems that cannot be addressed through conventional analytical methods.

5-Utilize advanced High-Performance Computing (HPC) techniques and optimize computational performance for large-scale scientific applications.

6-Develop parallel and distribute computing solutions by writing programs that distribute workloads across thousands of processors using technologies such as MPI and OpenMP.

7-Leverage Graphics Processing Units (GPU Computing) to accelerate large-scale computational tasks and scientific applications using modern parallel computing frameworks and tools.

Contact Information

Program Website:
https://ums.asu.edu.eg/

Email:

http://Vice_graduates@cis.asu.edu.eg