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Computer Science (Artificial Intelligence)

Charles University
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Tuition EUR 5,100 (Tuition (Year)) — International students; EUR 5,100 (Tuition (Year)) — EU/EEA students
Degree MSc
Duration 24 months
Deadline 2031-05-18
Delivery On-campus
Location Prague, Czech Republic
Language English

Program Overview

The Computer Science (Artificial Intelligence) at Charles University is a MSc programme in Computer Science & IT over 24 months, delivered On-campus. This programme equips graduates with advanced knowledge and practical skills for professional and academic careers in the field.

Students gain a rigorous grounding in both the theoretical foundations and applied dimensions of computer science & it. The programme combines coursework, research components, and practical projects that develop critical thinking, problem-solving, and specialist expertise relevant to industry and research needs.

Graduates of the Computer Science (Artificial Intelligence) programme are well-prepared for careers in academia, industry, government, and the private sector across Czech Republic and internationally. The programme provides an internationally recognised qualification within the Bologna higher education framework.

Key Program Features

  1. Duration: 24 months
  2. Language of instruction: English
  3. Study mode: On-campus
  4. English requirement: IELTS 6.5
  5. Tuition: EUR 5,100 (Tuition (Year)) — International students; EUR 5,100 (Tuition (Year)) — EU/EEA students
  6. Location: Prague, Czech Republic

Career Opportunities

Graduates of the Computer Science (Artificial Intelligence) programme are prepared for diverse careers in computer science & it:

  1. Software Engineer / Developer
  2. Data Scientist
  3. Machine Learning Engineer
  4. IT Project Manager
  5. Cybersecurity Analyst
  6. Cloud Solutions Architect

Program Curriculum

Course Structure

  1. Introduction to Complexity and Computability
  2. Data Structures
  3. Probabilistic Methods
  4. Artificial Intelligence
  5. Diploma Thesis I
  6. Diploma Thesis II
  7. Diploma Thesis III
  8. Neural Networks
  9. Applications of Neural Networks Theory
  10. Neural Networks Implementation I
  11. Boolean Functions and Their Applications
  12. Methods of Logic Programming
  13. Evolutionary Algorithms I
  14. Evolutionary Algorithms II
  15. Introduction to Robotics
  16. Machine Learning
  17. Seminar on Artificial Intelligence I
  18. Seminar on Artificial Intelligence II
  19. Seminar on Mobile Robotics
  20. Evolutionary Robotics
  21. Human-like Artificial Agents
  22. Artificial Intelligence I
  23. Planning and Scheduling
  24. Robot I
  25. Robot II
  26. Logic Programming I
  27. Logic Programming II
  28. Lambda Calculus and Functional Programming I
  29. Computers and Cognitive Sciences
  30. Decision Procedures and Verification
  31. Probabilistic Robotics
  32. Probabilistic graphical models
  33. Internet and Classification Methods
  34. Multiagent Systems
  35. Machine Learning in Bioinformatics
  36. Mobile Robotics
  37. Data Mining
  38. Statistical Methods in Data Mining Systems
  39. Methods of Mathematical Statistics
  40. Logic in Computer Science
  41. Game Theory
  42. Constraint Programming
  43. Statistical Methods in Natural Language Processing I
  44. Statistical Methods in Natural Language Processing II
  45. Selected Problems in Machine Learning
  46. Machine Learning Methods
  47. Computer vision and robotics
  48. Software Project
  49. Credit for Project
  50. Microcontroller Programming
  51. Embedded and Real Time Systems
  52. Artificial Intelligence
  53. Software Engineering for Dependable Systems
  54. Neural Networks Implementation II
  55. Representations of Boolean Functions
  56. Lambda Calculus and Functional Programming II
  57. Practical Course in Robotics
  58. Fundamentals of Speech Recognition and Generation
  59. Introduction to Machine Learning
  60. Algorithms in Speech Recognition
  61. Statistical Machine Translation
  62. Information Retrieval
  63. Digital Image Processing
  64. Bioinformatics Algorithms
  65. Project Management \x96 System Dynamics I
  66. Company Management \x96 System Dynamics II

Admission Requirements

Academic Requirements

To apply for the Bachelor of Computer Science program delivered in English you must

  • hold or be working towards a\xc2\xa0School Leaving Certificate\xc2\xa0\xc2\xa0(Diploma)\xc2\xa0or its equivalent; in cases required by law, a certification of equivalence of education must accompany the application;
  • meet the\xc2\xa0Reasoning Requirements, and
  • provide sufficient proof of\xc2\xa0English Language Proficiency.

For more information please visit programme website.

English Proficiency: IELTS 6.5 or equivalent.

Tuition & Financial Information

Tuition Fee

EUR 5,100 (Tuition (Year)) — International students; EUR 5,100 (Tuition (Year)) — EU/EEA students

Tuition fees: EUR 5,100 (Tuition (Year)) — International students; EUR 5,100 (Tuition (Year)) — EU/EEA students

IELTS requirement: 6.5

Financial Aid & Scholarships

Contact Charles University directly for scholarship, grant, and financial aid information for this programme. Many European universities offer merit-based and need-based funding for international and domestic students.

About Charles University

Charles University logo

Charles University

Prague, Czech Republic

Charles University, also known historically as the University of Prague, is the largest university in the Czech Republic. It is one of the oldest universities in the world in continuous operation,...

University Profile
Application Information
  • Application Deadline 2031-05-18
  • Start Date 2018-10-01
  • Language English
  • Duration 24 months
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