Introduction (M.S Mathematics)

M.S Mathematics is a two-year program intended specifically for students who want to pursue research in pure and applied mathematics to prepare themselves for the challenges of the existing and future multidisciplinary research and developments in order to fulfil the growing demand for mathematics in the rapidly changing employment market of the twenty-first century. The curriculum provides a solid foundation for graduates to take advantage of the growing job prospects in this field. This specialization gives highly sought-after competence, excellent mobility and flexibility, and a diverse range of career options in this field.

Motivation and Mission

The main goal of the MS in Mathematics program is to offer comprehensive Postgraduate degree in the concepts and techniques connected to the design and solution of application problems in applied mathematics in general and engineering, computing, finance, and applied sciences in particular. Furthermore, it would provide workers with greater capacity for demanding R&D initiatives in their respective fields.

Program Objectives

1. Graduates should be able to solve, evaluate, investigate, and model engineering and applied science problems utilizing existing scientific design and solution tools, broadening their professional, research, and academic perspectives.
2. Graduates should be aware of the interdisciplinary research culture that exists among science, engineering, and mathematical science disciplines, allowing them to explore emerging engineering and applied mathematical science research areas in their respective fields of study.
3. Strong mathematics foundation, combined with the study of advanced topics including computational math, Cryptography, Computer Graphics, Digital Images Processing, and operations research.

Learning Outcomes

1. Apply mathematics and science knowledge to the solution of advanced issues in various engineering and applied science fields.
2. Develop mathematical models and problem-solving techniques for challenges in Data Sciences, Artificial Intelligence, Electrical, Computer, and Mechanical Engineering, Machine Learning, Finance, Business, and Actuarial Sciences.
3. Demonstrate the ability to effectively communicate mathematical ideas to the scientific community, both written and verbally, with clarity and coherence.
4. Conduct research collaboratively as well as independently, i.e., be able to conduct research as an individual via his own work, as a team member and leader, and manage projects/reports in both individual and multidisciplinary settings.

Scope of the Program

The Master's graduate in Applied Mathematics can be employed in public institutions, public and private companies and research centers, which make use of advanced mathematical methods for the modeling and the analysis of data systems and networks.

 More specifically, the areas which are more suitable to need the competences of mathematical specialists are those connected with financial data analysis, control and optimization of biological data systems, analysis and control of networks and information systems, image processing in particular, medical images for various diagnosis, modeling of general patterns for artificial intelligence and man-machine integrated systems.

The Master's graduates in Applied Mathematics can access PhD programs in Mathematics, and also in the areas of Economics, Technologies and Natural Science, especially where the PhD programs requires a solid background of mathematical competences. The Master's graduates in Applied Mathematics can access the graduate courses which enable to a career in educational institutions.