Applied Mathematics Programme Profile

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Educational Programme Applied Mathematics (in Romanian)
Degree Awarded Master in Applied Mathematics
Standard Length of Studies
(Number of ECTS Credits)
2 years – 4 semesters – 120 ECTS
Type of Study Full-time
Higher Education Institution Babeş-Bolyai University Cluj-Napoca, Romania
Faculty / Department Faculty of Mathematics and Computer Science
Contact Person Professor Octavian Agratini
Phone +40 264 405300
Fax +40 264 591906
E-mail agratini@math.ubbcluj.ro
Website www.cs.ubbcluj.ro
Profile of the Degree Programme Applied Mathematics
Target Group / Addressees Graduates in Mathematics, Informatics, Physics, Chemistry, Biology, Economics and Engineering
Entrance Conditions The grade obtained at the final examination of the graduated Bachelor degree program and a personal portfolio.
See the exact admission conditions on www.cs.ubbcluj.ro, section Admitere
* Entrence conditions could be subject of some changes
Further Education Possibilities Doctoral and postdoctoral studies;
Continuous self-education and study
Description of Study Applied mathematics focuses on the creation and study of mathematical and computational tools broadly applicable in science and engineering, and on their use in solving challenging problems in these and related fields.

From ecological modeling to mechanics, from statistical analysis to mathematical economics, areas of investigation are diverse. The Applied Mathematics master’s program offers advanced theoretical knowledge in this complex and dynamic domain.

Core courses:

  • Sobolev spaces and partial differential equations;
  • Topological methods for nonlinear partial differential equations;
  • Applied nonlinear analysis;
  • Numerical methods for operator equations;
  • Advanced numerical analysis;
  • Boundary and finite element methods;
  • Fluid mechanics;
  • Heat transfer in porous media;
  • Linear approximation processes;
  • Biomathematics;
  • Nonlinear dynamic systems;
  • Financial mathematics;
  • Mathematical statistics and applications;
  • Stochastic processes and applications;
  • Methodology of scientific research in mathematics.
Purposes of the Program The program was created to respond to the demand of specialists in mathematical modeling, numerical simulation and statistical analysis for various domains of science, economy and industry.
Specialization / Area of Expertise Mathematical modeling; numerical simulation and approximation; statistical analysis; mathematical interdisciplinary approaches
Extra Peculiarities Optional: Practice of Education
Practical Training Participation in a research project of applied mathematics during the last semester
Final Examinations Research thesis (Dissertation)
Gained Abilities and Skills
  • Knowledge of some of the most recent results and methods from nonlinear analysis, in connection with concrete applications;
  • Capacity to identify and use fundamental models of partial differential equations in mathematical analysis of real processes;
  • Ability to construct new mathematical models and to maintain the feedback towards reality;
  • Knowledge of statistical methods and stochastic analysis;
  • Ability to use numerical simulations and approximation techniques;
  • Ability of self-documentation and to carry out independent mathematical work and research.
Job Placement, Potential Field of Professional Activity Mathematicians and experts in mathematical modeling in: research, academic and educational institutes, banking system, industry and production companies.
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