Who is it for?
Graduates of undergraduate programs in Computer Mathematics, Applied Mathematics, Computer Science, Engineering Science Graduates of other undergraduate or long term majors 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 skills acquired?
General skills:
Advanced mathematics teaching skills in pre-university and higher education, nationally and internationally
Advanced skills in modern methods of applying mathematics to problems of modelling, simulation, data interpretation and model generalisation, specific to both the private sector and research
Integration and performance capabilities in specialist firms, multinational companies, IT firms, in areas based on mathematical modelling and applied mathematics
Training teamwork skills, project approach and implementation skills
Advanced preparation for application to a PhD programme in Mathematics
Specific skills:
Modelling, simulation, interpretation and control capabilities for dynamic systems in the exact and engineering sciences
Ability to use advanced mathematical knowledge in teaching activity
Ability to analyse and synthesise mathematical models from systems theory, with applications in engineering sciences and finance and banking
Ability to integrate into 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
Teacher in pre-university or higher education
Research Scientist
Data analyst, data manager, database administrator
Project coordinator, project implementation expert
Specialist in modelling processes, phenomena and data interpretation
What is studied:
Special chapters on analysis, geometry, equations
Autonomous, non-autonomous dynamic systems and applications
Modern techniques in control theory, optimization methods
Geometric Dynamical Systems with Applications in Science
Discrete and continuous modelling of phenomena and processes
Forking techniques, stability, trajectory stability
Project management and academic writing
