Probability, Mathematical Statistics and Econometrics (N0541A170024)

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Studijní program: Probability, Mathematical Statistics and Econometrics (N0541A170024)

Typ studia: Navazující magisterské

Forma studia: Prezenční

Délka studia: 2

Zaměření: matematika, ostatní přírodovědné, přírodovědné obory, přírodovědné obory

Náplň programu/oboru:
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 hteory) 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. Aims of the program include preparation for a PhD study of probability, statistics or related areas at the Charles university or at another university. 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. A graduate of the study program Probability, Mathematical Statistics and Econometrics has advaced 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 particular problems. He or she is prepared for a highly qualified work as a specialist in diverse areas (economics, technics, finance, science and humanities) and also for a PhD study as well.

Cizí jazyk: Angličtina

Akreditace: ANO

Platnost akreditace do: 19.6.2029

Přijímací řízeníNahoru

Dny otevřených dveří: 26.11.2026

Den otevřených dveří, poznámka: 26. 11. 2026 https://www.mff.cuni.cz/cs/studenti/harmonogram-ak-roku/harmonogram-2026-2027

Obsah přijímaček:
Informace o navazujícím magisterském, doktorském a cizojazyčném studiu naleznete na stránkách fakulty.

Pozn. k přijímačkám: Bc. 7. 6. 2027. Informace o navazujícím magisterském, doktorském a cizojazyčném studiu naleznete na stránkách fakulty.

Pozn. k přihláškám: Bc. 31. 3. 2027, informace o navazujícím magisterském, doktorském a cizojazyčném studiu naleznete na stránkách fakulty.

Elektronická přihláška E-book jak se dostat na VŠ

Kontakty FakultyNahoru

Univerzita Karlova, Matematicko-fyzikální fakulta UK
Telefon: 951 551 255
Web: http://www.mff.cuni.cz
E-mail: [email protected]

ŠkolnéNahoru

Poznámka ke školnému/poplatkům za studium: poplatek za překročení standardní doby studia zvýšené o 1 rok Informatika a Informatika se zaměřením na vzdělávání 29 500 Kč, ostatní Bc. programy 35 000 Kč, podrobnosti https://cuni.cz/UK-917.html

Koleje: http://kam.cuni.cz/KAM-2.html

Menza: http://kam.cuni.cz/KAM-4.html