Overview
he program leads students to a thorough understanding of basic theoretical concepts and methods. During the study students also solve specific case studies to familiarize themselves with the currently used tools and technologies. Students will thus gain experience that will allow them to immediately use the current state of knowledge in practice, as well as solid foundations, which will enable them to continue to independently follow the developments in the field. The program is divided into three specializations that provide deeper knowledge in a chosen direction. Specializations share a common core, where students learn the most important mathematical, algorithmic, and technological aspects of the field. Machine Learning and Artificial Intelligence specialization lead graduates to gain in-depth knowledge of machine learning and artificial intelligence techniques and to gain experience with their practical application. Natural Language Processing specialization prepares graduates to work with natural languages (eg. Czech, English) in written and spoken form from the perspective of computer science. Data Management and Analysis specialization focus on data science, which creates value from big data by collecting, exploring, interpreting, and presenting data from different viewpoints with the goal of so-called business intelligence.
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Visit programme websiteProgramme Structure
Three specializations:
Machine Learning and Artificial Intelligence – The specialisation leads graduates to acquire a deeper knowledge of methods in machine learning and artificial intelligence techniques and experience in their application.
Processing and analysis of large-scale data – The specialization focuses on data sciences that create value from huge data streams by collecting, exploring, interpreting and presenting data from different perspectives for the purpose of data analytics, called business intelligence.
Natural Language Processing – This specialization prepares graduates to work with natural languages (e.g., Czech, English) in written and spoken form from a computer science perspective.
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
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- Starting
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Language
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Delivered
Campus Location
- Brno, Czech Republic
Disciplines
Information Technology (IT) Artificial Intelligence View 16 other Masters in Information Technology (IT) in Czech RepublicExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
Bachelor´s degree (at least another Master´s degree is also welcome) from an accredited university, including at least three full years of academic study (a minimum of 180 ECTS or equivalent) in Computer Science or closely related field with an excellent or near-excellent performance, this shall be documented by at least one of the following means:
- study average grade B or better on the ECTS scale,
- GPA 3.0 or higher, for a 4-point GPA,
- GPA 4.0 or higher, for a 5-point GPA,
- study average 2.0 or lower on the 1-4 scale,
- percentile 75 or higher, based on evaluation of all students in the previous programme.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
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Make sure you meet all requirements
Visit programme websiteTuition Fees
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International Applies to you
Applies to youNon-residents4500 EUR / year≈ 4500 EUR / year
Living costs
Brno
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
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Scholarships Information
Below you will find Master's scholarship opportunities for Artificial Intelligence and Data Processing.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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