Brno, Czech Republic
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline *
EARLIEST START DATE
Sep 2025
TUITION FEES
EUR 3,000 / per year
STUDY FORMAT
On-Campus
* applications start 01/09/2024
Key Summary
Introduction
The follow-up Master's degree program in Information Technology and Artificial Intelligence develops and deepens the knowledge and skills acquired at the bachelor's level of Information Technology studies.
The program is taught in the English language and it is open for foreign students and for Czech students with a desire to study in the English language. It develops especially the ability to analyze problems (also by formal means) and the ability to find creative solutions both independently and in team management. At the same time, it broadens and deepens knowledge for general information technologies (possibilities and limits of classical informatics, computability, complexity, parallelization and communication, modern architectures of computer systems, various paradigms of programming, data handling, implementation and evaluation of experiments) and at the same time, it offers the possibility to deepen a certain direction of information technology by offering a high portion of elective courses and by a high emphasis on individual study and creative work of the students through the diploma thesis and the year project in the first year of the study.
The program also aims to give graduates the ability to smooth lifelong learning and adapt to trends in a progressively developing and dynamically changing field of information technology.
Keywords: information technology, IT, master, BUT, computing, computer systems, analysis, software, artificial intelligence
Program Outcome
The graduate of the follow-up study program information technology and artificial intelligence has a broad view of the field of information technology with an understanding of the limits of possibilities. His expertise covers machine architectures currently used in information technology, various paradigms of programming such machines, processing and data intensive technologies, and technologies used to implement artificial intelligence. Further specific knowledge deepens in the chosen direction according to the selected specialization. The graduate is able to perform critical analysis of problems in this area, has the ability to propose effective solutions to such problems. Thanks to his deep knowledge of the tools and procedures used today, he is also able to implement these solutions. He/she is able to use some of the research methods to obtain new information. A broad theoretical basis allows it to easily adapt to area development and flexibility in the labor market, giving the ability to make independent decisions in a changing environment and the ability to formulate assignments for professional activities, coordinate them and take responsibility for their results.
In practice, the graduate will work as an independent creative worker in the field of information technology, ie in positions focused on development and testing of applications of various it directions, information systems and their security, intelligent systems and devices, computer and embedded systems, cyberphysical systems, networks and communication, graphics, multimedia, and user interfaces of information technology, and also works as a team leader.
Key learning outcomes
Students will understand all the layers of the computer based systems including hardware (semiconductor components, logic networks, processors, peripheral devices), software (control and data structures, object orientation, programming languages, compilers, operating systems, databases), as well as their common applications (information systems, computer networks, artificial intelligence, computer graphics and multimedia). They will understand foundations of computer science (discrete mathematics, formal languages and their models, spectral analysis of signals, modelling and simulation). Graduates will be able to analyse, design, implement, test, and maintain common computer applications. They will be able to work efficiently in teams.
Career Opportunities
Nearly 100 % of FIT graduates can easily find a job these days. Even back in 2015, the average unemployment period was less than a month and according to the development at the labour market over the last couple years, we can expect that period to be significantly shorter these days. The interest in FIT graduates is further reflected by the fact that they take part in training practice during their studies.
Master study programme graduates find jobs in both small and medium firms as well as large companies. The employers are residential (39 %) and foreign (43 %) companies, that are usually dedicated to software and hardware development. FIT graduates employed by these companies are mostly regular employees (84 %), but a significant portion of them (15.2 %) also work in low-level to middle-level management and some of them (0.8 %) even in top-level management. FIT graduates show the highest satisfaction when it comes to their employment and salary.
Graduates are usually members of national and international development teams, that apply their knowledge in development of computer systems and applications, database and information systems, mobile and web applications, digital systems etc. Other jobs include positions such as computer systems installation technicians, network administrators or applications programmers. Graduates often start their businesses focused on development of mobile applications, database and information systems or web applications. They can find jobs also as secondary education teachers of information technology or as qualified entrepreneurs in the field of computing.
The qualities of FIT graduates that employers value the most are good basic theoretical knowledge, considerable practical capabilities, ability to work in team and high adaptability to specific workplace conditions.
Curriculum
1st Year
Compulsory Courses - Winter
- Essentials of Work and Study in Research and Technology 1
- Formal Languages and Compilers (in English)
- Mathematical Structures in Computer Science (in English)
- Year Project 1
Compulsory Courses - Summer
- Essentials of Work and Study in Research and Technology 2
- Theoretical Computer Science (in English)
- Year Project 2
2nd Year
Compulsory Courses - Winter
- Semester Project (in English)
Compulsory Courses - Summer
- Master's Thesis (in English)
Arbitrary Year
Compulsory Courses - Winter
- Advanced Database Systems (in English)
- Compiler Construction (in English)
Compulsory Courses - Summer
- Data Communications, Computer Networks and Protocols (in English)
- User Experience and Design of User Interfaces and Services (in English)