Study programmes
Probability, Mathematical Statistics and Econometrics with specialisation in Econometrics
Study program:
Probability, Mathematical Statistics and Econometrics
SP code:
Study form:
full-time
Study type:
Master's (post-Bachelor)
Standard duration of study in years:
2
Language of instruction:
English
Title:
Mgr.
Title:
Yes - RNDr.
More details
SP name in Czech:
Pravděpodobnost, matematická statistika a ekonometrie
SP name in Latin:
Theoria probabilitatis, mathesis statistica, oeconometria
SP profile:
academically oriented
SP characteristics
The study program Probability, Mathematical Statistics and Econometrics provides to the students advanced knowledge in several branches of mathematics focused to random events and their analysis (probability theory, mathematical statistics, econometrics, optimization). It is characterized by a deep insight to these branches and focus on their mutual connections. Advanced level of basic knowledge in these branches is reached by attending mandatory courses. In elective courses students deepen their knowledge in more narrow areas, chosen namely with respect to the topic of their master thesis. Thanks to the seminars the students may be in touch with current problems of mathematical research.
Mathematical disciplines covered by this study program are well-established with narrow connections to other parts of mathematics. The theory is based mostly on mathematical analysis (measure theory) and linear algebra, many methods exploit numerical mathematics. On the other hand these parts of mathematics are influenced and inspired also by problems from probability and statistics. Mathematical methods for random phenomena is one the most widely used parts of mathematics both in research and in practice.
Students encounter applications of mathematical theories, theorems and methods for solving concrete problems. Their future employment is very diverse in academia, industry, financial institutions, medical and biological research or in humanities. Moreover, students interested in research are very well prepared for a PhD study of probability, statistics or related areas at the Charles university or at another university in Czech Republic or abroad.
Mathematical disciplines covered by this study program are well-established with narrow connections to other parts of mathematics. The theory is based mostly on mathematical analysis (measure theory) and linear algebra, many methods exploit numerical mathematics. On the other hand these parts of mathematics are influenced and inspired also by problems from probability and statistics. Mathematical methods for random phenomena is one the most widely used parts of mathematics both in research and in practice.
Students encounter applications of mathematical theories, theorems and methods for solving concrete problems. Their future employment is very diverse in academia, industry, financial institutions, medical and biological research or in humanities. Moreover, students interested in research are very well prepared for a PhD study of probability, statistics or related areas at the Charles university or at another university in Czech Republic or abroad.
More details
Graduate profile for the public:
A graduate of the study program Probability, Mathematical Statistics and Econometrics has advanced knowledge in basic areas of mathematics of chance (probability theory, mathematical statistics, optimization) and understands their mutual connections, including connections to other areas of mathematics. He or she is able to apply advanced theoretical methods to solving concrete problems. He or she is prepared for a highly qualified work as specialist in diverse areas (economics, technics, finance, natural sciences) as well as for a PhD study.
Related accreditations
| Faculty | Name of the study program | Language of instruction | Study form |
|---|---|---|---|
| Matematicko-fyzikální fakulta | Pravděpodobnost, matematická statistika a ekonometrie | čeština | prezenční |
| Matematicko-fyzikální fakulta | Pravděpodobnost, matematická statistika a ekonometrie se specializací Ekonometrie | čeština | prezenční |
| Matematicko-fyzikální fakulta | Pravděpodobnost, matematická statistika a ekonometrie se specializací Matematická statistika | čeština | prezenční |
| Matematicko-fyzikální fakulta | Pravděpodobnost, matematická statistika a ekonometrie se specializací Pravděpodobnost | čeština | prezenční |
Teaching provided by
Faculty:
- Faculty of Mathematics and Physics (MFF) https://www.mff.cuni.cz
Cooperating institutions:
No
More details
Foreign university joint diploma type:
No
External department:
No
Classification
Area of education:
- Mathematics
SP structure
Specialisation:
- Econometrics
- Mathematical Statistics
- Theory of Probability
Double-curriculum study:
No
More details
Specialisation name in Czech:
- Ekonometrie
- Matematická statistika
- Pravděpodobnost
Specialisation name in Latin:
- Oeconometria
- Mathesis statistica
- Theoria probabilitatis
Data for persons with disabilities
Contact person for persons with disability:
Mgr. Lukáš Krump, Ph.D.
Web page for persons with disability:
Further information about the study of persons with disability:
Personal provision
Garant SP:
- doc. Ing. Marek Omelka, Ph.D.
Study plans
Plans according to accreditation:
full-time study form with language of instruction English: with specialization Econometrics
full-time study form with language of instruction English: with specialization Mathematical Statistics
full-time study form with language of instruction English common part for specialization
full-time study form with language of instruction English: with specialization Theory of Probability
Instruction
Admission procedure requirements:
Can be studied in combination
No combinations have been found