APPLICATION FORM

MASTER STUDY PROGRAM

The admission procedure for the academic year 2017/2018 proceeds as follows:

Submission of application forms:  January 1, 2017 – April 30, 2017

Dates of entrance examinations:  June 22, 2017

Deadline for submitting applications in the 2nd round: August 15, 2017

Dates of admission examinations: August 24, 2017

For detailed guidelines for submitting the application form and admission requirements see document *.

DOCTORAL STUDY PROGRAM

The admission procedure for the academic year 2017/2018 proceeds as follows:

Submission of application forms: March 1, 2017 – June 30, 2017

Expected date of the interview: July 13, 2017

For detailed guidelines for submitting the application form and admission requirements see document *.

Please contact us for information about the applications at karina.pesatova@vsb.cz

* In the Admission Conditions document, you can find information essential for admission to study for all MSc. university study programmes as well as PhD. study programmes of VSB – Technical University of Ostrava, including the Computational Sciences study programme. Thus, the relevant documents also contain information essential for the application to study Computational Sciences within the MSc. study programme on the following pages:

Characteristics of the study programme and application for study (Page 2), admission procedure in the form of the written entrance exam (Page 5), exemption of the written entrance exam (Page 7), dates of the entrance exams (Page 9), and the number of students to be enrolled (Page 10).

As far as the PhD. study programme is concerned, the essential information can be found on the following pages:

Characteristics of the study programme (Page 2), application for study (Page 3), admission procedure (Page 4), the dates of the entrance exams, and number of students to be enrolled (Page 5).

Use the opportunity to study a field of study which has no parallel within the Czech Republic. You will learn to program effectively and exploit computational resources to solve demanding practical problems. You will use your acquired knowledge no matter if you have only an ordinary laptop, high-performance work station, or a supercomputer right away.

                   










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