Detail programu/oboru

The study program is intended as research oriented study. Students are expected to have strong mathematical background which is further developed during the study with focus on exact thinking. Students gain overview and understanding in many areas of contemporary theoretical computer science - from cryptography and limits of computational systems to state-of-the-art techniques in the design of efficient algorithms and data structures. They will learn about frontiers of current knowledge in areas of their interest. Study may include working in international environment under guidance of recognized experts while writing a master thesis. Graduates are sought after by companies developing future technologies based on current research. At the same time, the study program excellently prepares for doctoral study at any university worldwide.

** Conditions for Admission**

The goal of the admissions review process is to select from the pool of applicants those individuals who have shown the capability and diligence expected of Charles University students. To apply for our Computer Science or Mathematics Master's programmes given in English you must

- hold or be working towards a Bachelor’s or Master’s diploma and provide a certified copy thereof;
- have sufficient command of the English language; this can be demonstrated by providing your results in one of the standardized English tests that we recognize (see below for details).

**Bachelor’s or Master’s Diploma**

Each applicant into a Master’s programme must deliver an officially authorized copy of a Bachelor’s or Master’s diploma, or a confirmation of a faculty or university concerning a successful completion of Bachelor’s or Master’s studies. This requirement does not apply to students and graduates of Bachelor’s or Master’s studies at the Faculty of Mathematics and Physics of the Charles University.
The applicants who graduated from a higher education institution abroad, must deliver one of the following documents in order to prove their previous education: a document about a general recognition of foreign higher education in the Czech Republic obtained according to § 89 and 90 of the higher education law of the Czech Republic (so called "nostrification"), or a foreign document about a foreign higher education if it is automatically recognized in the Czech Republic, according to its international agreements, without further official processing (diploma and diploma supplements from Slovakia, Poland, Hungary, Slovenia), or a foreign document about completing higher education which will be assessed by the faculty itself (no fee is being charged). Detailed information on how the condition of obtaining previous Bachelor’s or Master’s degree should be proven by the alumni of foreign higher education institutions, as well as additional information, may be found on faculty webpages, here: https://www.mff.cuni.cz/en/students/general-rules/recognition-of-foreign-university-degrees-and-studies. The officially authorized documents must be physically sent to the Study Office of the Faculty of Mathematics and Physics preferebly by June 30, 2020, and by September 30,2020 at the latest. If you do not deliver the document about a completed education, you will be neither accepted nor enrolled for Master’s studies.

In addition to this, depending on the programme for which you are applying, you also must:

- **Computer Science programmes:** - have sufficient academic background in the relevant fields (see below for details); this should be demonstrated by solving a given take-home assignment correctly and on time, and by providing transcripts (academic records) of your previous education accompanied by syllabi of the completed courses (i.e., you must submit both the assignment and the transcript). For the take-home assignment, you may consult your notes, textbooks, Internet resources, friends etc. but the submitted solution must be your own work. To correctly solve the take-home assignment means to obtain at least 70 per cent of the maximum score. Solving the take-home assignment is not obligatory for the applicants for the study programme Computer Science – Language Technologies and Computational Linguistics.

You are also welcome to accompany your application by:
- a statement of purpose in which you describe your reasons for applying to the proposed programme, your study, and possibly also research interests and future career plans;
- letters of recommendation as recent as possible from professors and employers who can comment on your recent professional accomplishments and your qualifications for pursuing a master’s degree in mathematics or computer science.

**Academic background**

In this paragraph we summarize the minimum knowledge required for applicants in the various study programmes and study branches offered at our faculty.

**Master’s Degree in Computer Science**

Study programmes Computer Science - Theoretical Computer Science, Computer Science – Language Technologies and Computational Linguistics, Computer Science - Discrete Models and Algorithms, Computer Science – Visual Computing and Game Development, Computer Science - Software and Data Engineering, Computer Science - Software Systems, Computer Science - Artificial Intelligence: background in calculus, linear algebra, discrete mathematics, probability, logic, computer programming, algorithms and data structures, computer organization, and the theory of automata and formal grammars.

Academic records demonstrating the necessary background must show the dates of enrolment and the subjects or courses taken, together with the units of credit or time allotted to each subject. These records must also include a complete description of the institution’s grading scale or other standard of evaluation. Unless academic records and diplomas are routinely issued in English by the institution concerned, the official records in their original language must be submitted with an authorized, complete, and exact English translation.

**English Language Proficiency**
An applicant must have an adequate command of English in order to enroll on an English-taught programme at Charles University. Proficiency in English may be demonstrated by one of the standard language tests listed below; any language test results should not be older than two years. Students who have completed at least two years of their previous education with English as the sole language of instruction in Australia, Canada, Ireland, New Zealand, UK, Republic of South Africa or USA are exempt from this requirement. Applicants who provide us with comparable qualifications demonstrating proficiency in English also meet our requirements.
The table below lists the various tests of English that we recognize, and gives the minimum score that should be obtained.

**Test Minimum Score**

TOEFL Paper/Computer/Internet based 550/213/80
The International English Language Testing System (IELTS) 6.5
Cambridge ESOL FCE A level
Cambridge ESOL CPE, or Cambridge ESOL CAE Passed
City&Guilds International ESOL, or City&Guilds International Spoken ESOL Expert level
The European Language Certificates Level TELC English C1
UNIcert English for Mathematicians Level C1
Melab 77
Examination for the Certificate of Proficiency in English (ECPE) Pass
Test of English for International Communication (TOEIC) 605
General State Language Examination in English in the Czech Republic Pass

Podmínkou přijetí ke studiu v magisterském studijním programu je dosažení středního vzdělání s maturitní zkouškou. Podmínkou přijetí ke studiu v magisterském studijním programu, který navazuje na bakalářský studijní program, je rovněž řádné ukončení studia v kterémkoliv typu studijního programu.

Způsob ověření:	jiná forma
Datum ověření (přijímací zkoušky) od:		Do:
Náhradní termín (přijímací zkoušky):

The graduate has a broad overview of theoretical computer science, thoroughly understands the limits and possibilities of computational systems, understands the foundations of cryptography and computer security, knows advanced algorithmic techniques, and is able to apply these techniques to new problems. He also has skills necessary to convey abstract ideas with precision and clarity. The graduate can apply his skills in the design and analysis of complex systems and in the development of innovative solutions and transformative technologies. The graduate is also well prepared for doctoral studies in theoretical computer science and related areas.