Engineering Mathematics
Postgraduate Program | School of Engineering
Engineering Mathematics
Engineering Mathematics at Zewail City offers a structured postgraduate pathway designed to strengthen mathematical foundations, computational skills, and research capabilities for solving complex engineering problems. The program supports students in applying advanced mathematical methods, analytical thinking, and modeling tools across scientific, engineering, and technology-driven fields.
Students may progress through multiple academic milestones, beginning with diploma studies and advancing toward master’s and doctoral research.
Why Study This Program
at Zewail City?
- Advanced Computational Facilities Access modern research laboratories and computational resources supporting advanced engineering applications
- Experienced Faculty Supervision Work closely with faculty actively engaged in research projects
- Interdisciplinary Collaboration Benefit from collaboration across engineering, mathematics, and computer science programs
- Industry and Research Engagement Engage with research networks and industry-linked applications that support innovation
Key Areas of Study
Students explore advanced topics including:
- Applied optimization
- Advanced data analytics
- Time series forecasting
- Computational modeling
- Scientific computing
Available Degrees
Basic Diploma in Engineering Mathematics
Program Information
| Degree Type: Diploma |
Study Mode: Full Time |
Duration: 1-2 Semesters |
| Total Credit Hours: 12 |
Language of Study: English | School: School of Engineering |
Program Overview
The Basic Diploma in Engineering Mathematics is designed to provide students with a strong foundation in the principles and applications of engineering mathematics. The program develops critical thinking and problem-solving skills with direct applications to engineering challenges, while preparing students for more advanced studies in mathematical modeling and research.
Program Educational Objectives
Graduates of the program will be able to:
- Apply advanced mathematical concepts and techniques to engineering problems
- Use specialized software tools such as MATLAB, Mathematica, and Minitab for computation and modeling
Degree Requirements
Students must complete 12 credit hours of compulsory courses.
- MATH 501 — Advanced Computational Methods
- MATH 502 — Introduction to Optimization
- MATH 503 — Advanced Linear Algebra
- MATH 504 — Regression Analysis
Advanced Diploma in Engineering Mathematics
Program Information
| Degree Type: Diploma |
Study Mode: Full Time |
Duration: 2-4 Semesters (including the Basic Diplomas) |
| Total Credit Hours: 12 |
Language of Study: English | School: School of Engineering |
Program Overview
The Advanced Diploma in Engineering Mathematics builds on the foundational knowledge gained in the basic diploma and provides deeper study in advanced mathematical methods and their engineering applications. The program prepares students to participate in research projects and technical work requiring advanced analytical and computational skills.
Program Educational Objectives
Graduates of the program will be able to:
- Extend and apply advanced mathematical knowledge to complex engineering problems
- Integrate software tools and computational techniques into professional practice
- Demonstrate leadership and teamwork in technical and research environments
Degree Requirements
- Students must complete 12 credit hours of elective courses.
- Students who achieve a GPA of 3.0 or higher may proceed to: M.Sc. in Engineering Mathematics
M.Sc. in Engineering Mathematics
Program Information
| Degree Type: M.Sc. |
Study Mode: Full Time |
Duration: 4–6 Semesters (including the Basic and Advanced Diplomas) |
| Total Credit Hours: 36 |
Language of Study: English | School: School of Engineering |
Program Overview
The M.Sc. in Engineering Mathematics provides engineers with strong mathematical foundations and modern analytical tools for modeling and understanding real-world problems. The program positions engineering mathematics as a bridge between science, engineering, and technology, with emphasis on both theoretical understanding and practical application.
The program offers advanced study in areas including Optimization and Operational Research and Stochastic Modelling. It is designed for applicants holding a B.Sc. in Engineering.
Program Educational Objectives
The program aims to provide graduates with:
- A strong foundation in mathematics
- The ability to formulate and model engineering problems efficiently
- The ability to use modern computational methods in problem solving
- Skills in applying mathematical concepts and data analysis to engineering challenges
- The ability to use software packages and integrate them with developed research models
Graduate Outcomes & Competencies
Upon completion of the program, graduates will be able to:
- Apply mathematical concepts to formulate and solve complex scientific and engineering problems
- Select and use appropriate computational methods for modeling engineering systems
- Apply mathematical reasoning to analyze problems across different contexts
- Communicate mathematical concepts effectively within engineering and scientific communities
- Use software tools such as Mathematica, MATLAB, and Minitab in analysis and modeling
Research Experience & Thesis
The program includes a substantial research component that allows students to work closely with faculty supervisors on advanced topics such as optimization, time series forecasting, and computational modeling of complex systems.
Students develop independent research through seminars, supervised projects, and a master’s thesis focused on a contemporary scientific or technological challenge. Research may be conducted in collaboration with university laboratories or affiliated research institutes, and students are encouraged to publish their findings in conferences and peer-reviewed journals.
Career & Academic Pathways
Graduates may pursue pathways such as:
- Ph.D. studies in Engineering Mathematics
- Academic and university teaching careers
- Research scientist or data scientist roles
- Research assistant positions in industrial R&D
- Leadership roles in research-driven technology organizations
Degree Requirements
The M.Sc. in Engineering Mathematics requires 36 credit hours:
- Basic Engineering Diploma — 12 Credit Hours
- Advanced Engineering Diploma — 12 Credit Hours
- M.Sc. Thesis — 12 Credit Hours
Students should consult their academic advisor regularly to ensure all program requirements are met.
Ph.D. in Engineering Mathematics
Program Information
| Degree Type: Ph.D. |
Study Mode: Full Time |
Duration: 6-10 |
| Total Credit Hours: 54 |
Language of Study: English | School: School of Engineering |
Program Overview
The Ph.D. in Engineering Mathematics is a research-intensive program designed to develop advanced theoretical and computational expertise for addressing complex engineering and scientific challenges. The program emphasizes independent and original research in areas such as mathematical modeling, optimization, stochastic processes, and computational science.
Doctoral candidates work under faculty supervision to contribute new knowledge through advanced research and dissertation work.
Research Experience & Dissertation
The Ph.D. program emphasizes independent and original research under faculty supervision. Doctoral candidates develop advanced theoretical and computational methods, including optimization, stochastic modeling, and fractional modeling, to address complex engineering and scientific problems.
The program culminates in a doctoral dissertation that contributes new knowledge to the field. Students are encouraged to publish their work in peer-reviewed journals and present it at international conferences.
Career & Academic Pathways
Graduates may pursue careers such as:
- University faculty member
- Postdoctoral researcher
- Senior research scientist
- Computational engineering specialist
- R&D leader in industrial and technology sectors
- Innovation leader in scientific and engineering organizations
Degree Requirements
The Ph.D. in Engineering Mathematics requires 54 credit hours, structured as follows:
- Program Requirements (Coursework) — 18 Credit Hours
- Directed Research — 27 Credit Hours
- Ph.D. Dissertation — 9 Credit Hours
Total Credit Hours: 54