M.Sc. in Engineering Mathematics
Mathematics is one of the crucial components that acts as a bridge between science, engineering and technology. The Mathematics program aims to provide engineers with solid mathematical foundations and modern mathematical tools to assist in modelling and understanding of real world problems. The Mathematics program offers M.Sc. in Engineering Mathematics in the following concentrations: Optimization and Operational Research and Stochastic Modelling. Applicants must hold a B.Sc. in engineering. Masters candidates must complete 12 credits of graduate-level core courses in the first one and half year. In addition, with the guidance of the students’ supervisors, they must complete 6 credits from the concentrations elective courses.
1. Advanced Computational Methods (3 Cr)
2. Regression Analysis (3 Cr)
3. Introduction to Optimization (3 Cr)
4. Advanced Complex Analysis (3 Cr)
Optimization and Operational Research Elective Courses:
1. Convex Optimization (3 Cr)
2. Integer and Combinatorial Optimization (3 Cr)
3. Operations Research (3 Cr)
Stochastic Modelling Elective Courses:
1. Stochastic processes (3 Cr)
2. Time series Analysis (3 Cr)
3. Design of Experiments (3 Cr)
Program Educational Objectives (PEOS)
1. A solid foundation in mathematics.
2. The ability to efficiently formulate and model engineering problems.
3. The ability to effectively use new emerging computational methods in problem solving.
4. The skills of applying the mathematical concepts and data analysis techniques in solving the engineering problems.
5. The ability to employ SW packages to solve mathematical problems and to efficiently integrate it with the in-house models developed by the researcher.