Degree Programme Details

Information Technology and Artificial Inteligence

Abbreviation: MITAI

Code: N0619A140001

Level of Education: Master

Title Awarded: Ing.

Length of Study: 2 years

Form of Study: full-time

Programme Profile: Academically oriented

Fields of Education: Informatics

Accreditation: 25. 6. 2019 - 25. 6. 2029

Study targets
The follow-up Master's degree programme Information Technology and Artificial Intelligence develops and deepens the knowledge and skills acquired at the bachelor's level of Information Technology studies. 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 means of specializations so that the graduate can become an expert in this direction after complementing experience. The program also aims to give graduates the ability to smooth lifelong learning and adapt to trends in a very progressively developing and dynamically changing field of information technology.
Graduate Profile
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.
Admission Requirements
Admission to the follow-up Master's degree program has a prerequisite on completion of university education (bachelor's or master's).
Conditions of graduation
The basic teaching module of the study plan is a one-semester course. Courses are divided into compulsory (the student must complete courses in the composition prescribed by the study plan of the study programme and its specialization of his/her choice) and elective courses. Each course is awarded with a certain number of credits. Obtaining at least 120 credits (including credits for required compulsory courses) entitles the student to take the final state examination, which consists of an oral part (technical debate) and defense of the thesis. Passing both parts of the final state examination is a prerequisite for the successful completion of the study programme and for the qualification of an engineer.
Rules for curriculum content setup
The compulsory courses are composed in a way to build prerequisites for the successor courses. Optional courses are offered after compulsory courses which prepare for them the theoretical background.
Evaluation Principles
Study evaluation is based on points obtained for specified items of the appropriate course, as home works, projects, oral presentations, tests, midterm exams, final exam, etc. The maximum number of points is 100. The final study report consists of records of the overall points and a classifying symbol from the European Credit Transfer System (ECTS) (A; B; C; D; E; F). The General Grade Average is calculated from classification grades A=1, B=1.5, C=2, D=2.5, and E=3. Student evaluation is based on the credit system compatible with ECTS (European Credit Transfer System). The final examination of each course can be written, oral, or combined.
Availability of literature
  • Faculty library offers students over 20 000 items, 55 magazine titles, 100 study seats, 20 seats with computers, 2 seminar rooms and reprographic services. The number of items was increased by 605 since 2017, with the total resources for development of library fund amounting to 800 thousand Czech crowns in 2017.
  • Aside from specialized labs, students can use 160 seats with computers in computer pavilions in the Computer centre.
  • All computers are connected to Internet and the whole faculty area is covered with Wi-Fi network, that can be used by all students as well as faculty employees.
  • Students have access to electronic form of presentations used during the lectures in practically all courses, most compulsory and compulsory-elective courses even offer study support materials.
  • All teachers are obliged to create a schedule for individual consultations prior to the beginning of a semester.
  • Both lecture complexes are equipped with audiovisual technology allowing lecture recording.
Availability for students with special needs
Brno university of technology provides studies for persons with health disabilities according to section 21 par. 1 e) of the Act no. 111/1998, about universities and about the change and supplementing other laws (Higher Education Act) as amended, and according to the requirements in this field arising from Government Regulation No. 274/2016 Coll., on standards for accreditation in higher education, provides services for study applicants and students with specific needs within the scope and in form corresponding with the specification stated in Annex III to Rules for allocation of a financial contribution and funding for public universities by the Ministry of Education, Youth and Sports, specifying financing additional costs of studies for students with specific needs.

Services for students with specific needs at BUT are carried out through the activities of specialized workplace - Alfons counselling center, which is a part of BUT Lifelong Learning Institute - Student counselling section.

Counselling center activities and rules for making studies accessible are guaranteed by the university through a valid Rector's directive 11/2017 concerning the status of study applicants and students with specific needs at BUT. This internal standard guarantees minimal stadards of provided services.
Services of the counselling center are offered to all study applicants and students with any and all types of health disabilities stated in the Methodological standard of the Ministry of Education, Youth and Sports.
Availability of further education
Graduates can continue their studies in the doctoral study programme at FIT BUT or related doctoral degree programmes at other universities.
Programme Guarantor

Specializations

TitleAbbrvLanguageLast
admissions
Accredited
till
Application DevelopmentNADECzech2029
Bioinformatics and BiocomputingNBIOCzech2029
Computer Graphics and InteractionNGRICzech2029
Computer NetworksNNETCzech2029
Computer VisionNVIZCzech2029
Cyberphysical SystemsNCPSCzech2029
CybersecurityNSECCzech2029
Embedded SystemsNEMBCzech2029
High Performance ComputingNHPCCzech2029
Information Systems and DatabasesNISDCzech2029
Intelligent DevicesNIDECzech2029
Intelligent SystemsNISYCzech2029
Machine LearningNMALCzech2029
Mathematical MethodsNMATCzech2029
Software EngineeringNSENCzech2029
Software Verification and TestingNVERCzech2029
Sound, Speech and Natural Language ProcessingNSPECzech2029
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