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Computer Science - Artificial Intelligence, M.Sc.

  • Application Deadline
  • 24 months
    Duration
University rank #196 (BCR) ,
In the Computer Science - Artificial Intelligence Master’s program at Charles University, students are given a broad overview of their field, helping them to think independently, to distinguish between important and marginal problems, and to accommodate quickly to novel technologies.

About

The Computer Science - Artificial Intelligence Master’s program at Charles University provides education in the area of theoretical and applied knowledge for design of intelligent systems in various areas including data analysis, automated problem solving, and robotic applications. The emphasis is put on deep understanding of formal theoretical foundations and their practical applicability. 

Students will gain knowledge about design of efficient data structures, about formal modeling of problems and knowledge by using techniques of mathematical logic and probability theory, about algorithms (classical and nature-inspired) for problem solving, for control of autonomous agents, for machine learning, and for data mining, and about complexity analysis of computational methods. The students will learn how to apply these techniques and how to extent them both for abstract (data) and physical (robotic) worlds in single-agent and multi-agent environments. The study branch Artificial Intelligence can be studied in three specializations: Intelligent agents, Machine learning, and Robotics.

Graduates can apply and further extend techniques for the design of intelligent systems, including knowledge modeling and formal modeling of complex systems by means of mathematical logic and probability theory, automated problem solving, planning and scheduling, control of autonomous agents (both virtual and physical), machine learning, and data mining. 

They are also able to analyse and formally model a complex decision problem, propose an appropriate solving technique, and implement it. Graduates can work in research and development in either academia or industry in any position requiring logical reasoning, analytical capabilities, an algorithmic approach, and the exploitation of modern methods of computer science (declarative and nature-inspired programming).

Programme Structure

Courses include:

  • Introduction to Complexity and Computability 
  • Data Structures 
  • Probabilistic Methods 
  • Artificial Intelligence 
  • Neural Networks 
  • Applications of Neural Networks Theory 
  • Neural Networks Implementation 
  • Boolean Functions and Their Applications 
  • Methods of Logic Programming 

Detailed Programme Facts

  • More details: Applicants from outside the European Union and the Schengen Area are advised to apply in the winter round to have enough time for obtaining a student visa.
  • Programme intensity Full-time
    • Full-time duration 24 months
  • Credits
    120 alternative credits
  • Languages
    • English
  • Delivery mode
    On Campus

English Language Requirements

You only need to take one of these language tests:

  • Minimum required score:

    80

    The TOEFL iBT ® measures your English-language abilities in an academic setting. The test has four sections (reading, listening, speaking, and writing), each with a score range of 0-30, for a total score range of 0-120. Read more about TOEFL iBT ®.

    Schedule TOEFL®
  • Minimum required score:

    550

    The TOEFL®PBT is administered in a paper format and measures your ability to use and understand English in a classroom setting at the college or university level. It accurately measures how well you can listen, read and write in English while performing academic tasks. Read more about TOEFL®PBT.

    Schedule TOEFL®
  • Minimum required score:

    6.5

    The IELTS – or the International English Language Test System – tests your English-language abilities (writing, listening, speaking, and reading) on a scale of 1.00–9.00. The minimum IELTS score requirement refers to which Overall Band Score you received, which is your combined average score. Read more about IELTS.

    Schedule IELTS

Academic Requirements

To apply for our Mathematics or Computer Science Master’s programmes given in English you must:

  • hold or be working towards a Bachelor’s or Master’s diploma (see below for details),
  • 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).
  • have sufficient academic background in the relevant fields; this can 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.

Tuition Fee

  • International Applies to you

    5500 EUR/year
    Tuition Fee
    Based on the original amount of 5500 EUR per year and a duration of 24 months.
  • EU/EEA Applies to you

    5500 EUR/year
    Tuition Fee
    Based on the original amount of 5500 EUR per year and a duration of 24 months.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
  • 140 000 CZK + application fee  640 CZK (around $29) per application
  • Students from the EU are eligible for a 40 percent discount. 

Living costs for Prague

  • 15441 - 26250 CZK/month
    Living Costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

The Faculty of Mathematics and Physics, Charles University, grants a limited number of scholarships to highly qualified applicants, consisting of a tuition fee waiver of 84 000 CZK up to 420 000 CZK, depending on the applicant’s chosen programme, academic performance and country of origin.

StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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