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    Branch programme/details

    Theoretical Computer Science and Artificial Intelligence (0619VD140004)

    Faculty: Faculty of Mathematics and Physics
    Study programme: Theoretical Computer Science and Artificial Intelligence (P0619D140004)
    Form of study: full-time
    Type of study: doctoral
    Language of instruction: English
    Standard length of study: 4 years
    Application type: Online, Paper
    Possibility of exemption from entrance examination: yes

    • You cannot apply for study of this programme/branch now.

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      Application submission date: 30.04.2020
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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.

      The programme does not contain specializations.
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      Admission for studies will be granted to the applicants, who
      • Submitted a complete application form together with all obligatory attachments before the deadline,
      • they successfully passed the entrance examination or they were granted an entrance examination waiver,
      • they successfully passed the language examination or they got a waiver of it

      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-May 2020.The invitation to an entrance examination is delivered through the University Electronic Information System. In mid-May 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 comittee 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 entrance examination consists of a written test containing 100 questions (completing gaps in a text, i.e. choosing the correct word for each gap). The exam verifies that the applicant has an adequate command of the English language, i.e. at least at level B2 of the Common European Framework of Reference for Languages (CEFR). This is an equivalent of 50 correct answers. All applicants with a score between 50 and 79 correct answers who will complete all other necessary admission requirements will be obliged to include an English course for PhD. students offered by the Faculty as an obligatory part of their individual study plans.

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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: 18.06.2020 Until: 19.06.2020
      Alternative date (of entrance exam): 26.06.2020 Until: 26.06.2020
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      Application deadline is extended to 30th June 2020.
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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 work has been recognized in the SVOČ competition in computer science, mathematics, or teaching of mathematics (for study programmes in the fields of Computer Science and Mathematics);
      2. their work has been recognized at the Czech-Slovak Student Conference on Physics (for study programmes in the field of Physics);
      3. 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;
      4. they have finished a master's study programme in the field of Physics, Computer Science, or Mathematics in the academic year 2019/2020, and their grade in each part of the state final examination is „excellent“ or „very good“ (for study programmes in the field of Physics, Computer Science, and Mathematics);
      5. they have gained at least 120 credits in the master's study programme in the field of Physics, Computer Science, or Mathematics in academic years 2019/20 and 2020/21, and their average study grade (according to the Code of Study and Examination, Art. 8, Par. 13) is at most 1.5, where 1=„excellent“, 2=„very good“, and 3=„satisfactory“ (for study programmes in the field of Physics, Computer Science, and Mathematics);
      6. 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 May 31, 2020 in case of points 1,2,3,5 and 6, and by June 19 in case of point 4.
      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 (including the entrance examination from English for Ph.D. studies)
      • TOEFL (ITP) – 627 points
      • TOEFL (iBT) – 95 points
      • IELTS – min. 7 points
      • Cambridge English Certificate: C1 Advanced
      • Cambridge English Certificate: C2 Proficiency
      • Unicert – min. level C1
      • LanguageCert: C1 Expert
      • LanguageCert: C2 Mastery

      The language examination waiver and the compliance with one of the conditions mentioned above must be requested before April 30, 2020 (or, in exceptional cases, before September 30, 2020).
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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.