Engineering mathematics is the art of applying mathematics to complex real-world problems, combining mathematical theory, practical engineering and s...

Engineering mathematics is the art of applying mathematics to complex real-world problems, combining mathematical theory, practical engineering and scientific computer science to meet today's technological challenges.

Mathematical engineering is an important and in-demand program which combines traditional and modern tools.

The main technical competence of a mathematical engineer is mathematical modeling. It is best to learn to solve problems of this type through practical experience, and this is how we teach them: through case study applications covering engineering, life sciences, medicine, Climate Science, Energy, Data Science, Robotics and more. Mathematical modeling modules are included in all our degree programs. In them you will work as a team to solve difficult and open problems and put theory into practice.

Mathematical engineering students have the opportunity to enhance their modeling skills within the framework of a large individual project. Each project is focused on a real scientific, technological or industrial problem, many of which are designed by the students themselves. Engineering mathematics is a creative and exciting discipline that goes beyond traditional boundaries. Graduates of engineering mathematics are excellently applicable. Most students have permanent job opportunities before completing their final year.  

Most graduates actively use the technical skills they have acquired. University links to industry through collaborative research and consultancy keeping our courses professionally relevant. The best graduates can be recommended to employees. 

In addition to technical excellence, students acquire a variety of professional skills that are highly valued by employers:

Problem solving-patience, perseverance, innovative approach;

Teamwork-experience that gives insight into project management and how to deliver complex projects in tight time frames, finding the best solutions;

Communication — students learn to write reports, make presentations, create posters, web pages, and make messages clear to any audience; 

Computer science — you will learn standard programming languages such as C, C++, Java and Matlab, as well as algorithm design skills so that you can learn new languages quickly and easily. Knowledge of information technology is crucial for solving the problem and helps you communicate with standard and special tools such as Microsoft Office and latex.

Mathematical generation combines in-depth knowledge of Applied Mathematics and other basic sciences, especially physics and finance, with advanced knowledge of the theoretical and scientific aspects of Engineering in general to develop advanced mathematical modeling research. A versatile training that allows students to deal with experimental, computer, technological, economic, cognitive problems related to the construction, verification, use of models and use these skills to identify, interpret, describe, formulate and solve complex technical problems. With this degree, students will be able to work in different contexts such as design support and experimentation in engineering companies, software houses, banks, insurance companies, public administrations and public and private research institutions.

Engineering mathematics offers students the opportunity to study pure and Applied Mathematics as the basic components of modern engineering. By combining courses in Pure Mathematics, Applied Mathematics, Statistics, natural sciences and engineering, a student can dedicate a course of study, theory or applications to both. It provides a broad basis for studying in the theoretical branches of engineering, as well as in mathematics, and can prepare students for work in certain branches of industry or economics.

Graduates will be able to apply their knowledge in the following areas: research and development departments, banks, insurance and financial institutions, data analysis, public and private research institutes and laboratories, etc.

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