Application submission date
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Application submission date: |
30.11.2022 |
Charge for the admission procedure
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Programme/Branch characteristic
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The program prepares experts for research and development in the areas of Theoretical Computer Science and Artificial Intelligence. Education is implemented by doing independent research under the supervision of senior experts.
In addition to obtaining foundations in Computer Science, the students acquire deep knowledge in a chosen specialization area such as: algorithms and data structures and their analysis, knowledge representation and reasoning, cognitive sciences and their applications, machine learning, multi-agent systems, problem modeling (e.g., in automated planning or decision making) and problem solving using logical, probabilistic, and nature-inspired methods. Students learn how to formulate research goals, prepare a project proposal to achieve the set goals, and present the results in the international environment. Further, they gain experience teaching and mentoring students including thesis supervision.
Description of verification and evaluation criteria
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Invitation to subject entrance examination
The invitation to the subject entrance examination will be sent to those applicants, who
• submitted a complete application together with its obligatory attachments 2,3 and 4 before the deadline,
• paid the application fee,
• did not obtain the confirmation of the waiver of the subject entrance examination before mid-December, 2022.The invitation to an entrance examination is delivered through the University Electronic Information System. In mid-December, 2022, all applicants without a waiver receive an invitation to take the entrance examination from the Faculty of Mathematics and Physics. If the Faculty approves the waiver, the invitation ceases to apply.
Entrance examination
The entrance examination consists of two parts, subject and language one. The subject part of the entrance examination takes the form of a discussion about the chosen study programme. The committee gives the applicant three questions related to the chosen study programme. The committee judges the correctness of the answer, the knowledge of the field and overall readiness for doctoral studies. Each answer is evaluated on the binary Pass/Fail scale. The applicant must obtain three passing grades. If the applicant has chosen one of the thesis topics offered by the faculty and has obtained an approval of a future supervisor, or if the committee accepts the annotation of the applicant‘s own topic, the applicant will successfully pass the exam with only two passing grades from three questions.
The language part of the entrance examination consists of a written test. The applicant may obtain a maximum of 100 points, the threshold for passing the exam is 50 points.
Conditions for admission
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Admission to Doctoral studies is conditioned by successful completion of a Master's study programme.
Verification method: |
entrance exam |
Confirmation date (of entrance exam) from: |
18.01.2023 |
Until: |
19.01.2023 |
Alternative date (of entrance exam): |
26.01.2023 |
Until: |
26.01.2023 |
Rules governing exemption from entrance examination
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Waiver conditions of the subject entrance examination
The subject entrance examination may be waived for applicants who have chosen one of the thesis topics offered by the faculty and obtained an approval of a future supervisor, and for whom at least one of the following conditions applies:
1. their original scientific work on a relevant topic has been published, or has been accepted for publication, in a reviewed medium indexed by MathSciNet, SCOPUS or ISI Web of Knowledge databases;
2. they have achieved excellent results in their master's study programme in the field of Physics, Computer Science, or Mathematics;
3. they have achieved other remarkable results testifying their ability for doctoral studies.
It is necessary to apply for the waiver and prove that the applicant satisfies some of the above conditions, by no later than November 30, 2022
Conditions for a language examination waiver
The language examination will be waived if the applicant fulfills at least one of the following waiver conditions:
A. The applicant spent at least two years of his/her previous education at secondary or university level with English as the sole language of instruction in one of the following countries: Australia, Canada, India, Ireland, Malta, New Zealand, South Africa, UK or USA.
B. The applicant does not need to take the language examination of English if (s)he has already passed one of the following exams (in some cases we recognize the exam only with a minimum score or level):
• General State Language Examination in English in the Czech Republic
• examination in English at Charles University, Faculty of Mathematics and Physics
• TOEFL (paper) – 550 points
• TOEFL (computer) – 213 points
• TOEFL (internet) – 80 points
• IELTS – 7 points
• C2 Proficiency (formerly known as CPE) - Pass
• C1 Advanced (formerly known as CAE) - Pass
• B2 First (formerly known as FCE) – Grade A
• City&Guilds International ESOL, or City&Guilds International Spoken ESOL: Expert level - expert level
• TELC (The European Language Certificates) – TELC English C1 - Pass
• UNIcert English for Mathematicians: Level C1 – level C1
• Melab – 77 points
• Examination for the Certificate of Proficiency in English (ECPE) - Pass
• Test of English for International Communication (TOEIC) – 605 points
The language examination waiver and the compliance with one of the conditions mentioned above must be requested before the deadlines mentioned above.
Information about graduate employment
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A graduate has knowledge in all important areas of theoretical computer science and artificial intelligence such as design and analysis of algorithms and data structures, processing big data and solving complex problems requiring integration of more approaches. He/she can use it competently in both individual and team work, apply it in practice and communicate it to other members of the team. He/she has the knowledge and skills for a systematic gathering, critical processing, and application of ideas and information which are necessary for solving new complex problems (both theoretical and applied). He/she is capable to keep up with the development of his/her field.
A graduate finds jobs in R&D institutions and on universities worldwide, and in IT companies in research, development, expert and manager positions.