Who is it for? Graduates of undergraduate programs in Computer Mathematics, Mathematics Applied Mathematics, Computer Informatics, Computer Science, Engineering Sciences Graduates of other undergraduate or long term specializations in Exact Sciences Graduates of other master’s programs (professional, teaching or other fields) who intend to apply to a PhD program in Mathematics in the future What are the competences acquired? General skills: Advanced skills in teaching Mathematics in pre-university and higher education, nationally and internationally Advanced skills in modern methods of applying Mathematics to problems of modeling, simulation, data interpretation and model generalization, specific to both the private and research fields Ability to integrate and perform in specialized firms, multinational companies, IT firms, in fields based on mathematical modeling and applied mathematics Training in teamwork skills, project approach and implementation skills Advanced preparation for application to a PhD program in Mathematics Specific competences: Modeling, simulation, interpretation and control capabilities for dynamical systems in exact sciences and engineering sciences Ability to use advanced knowledge of Mathematics in teaching activity Ability to analyze and synthesize mathematical models from systems theory, with applications in engineering sciences and in the financial-banking field Ability to integrate in national and European projects in the private sector as well as in basic and applied scientific research Career opportunities: Mathematician in public or private, national or international institutions Mathematician in public or private, national or international institutions Teaching executive in pre-university or higher education Scientific researcher Data analyst, data manager, database administrator Project coordinator, project implementation expert Specialist in modeling processes, phenomena and data interpretation What is studied: Special chapters of analysis, geometry, equations Autonomous, non-autonomous dynamical systems and applications Modern techniques in control theory, optimization methods Geometric dynamical systems with applications in science Discrete and continuous modeling of phenomena and processes Bifurcation techniques, stability, trajectorial stability Project management and academic writing