Software Engineering

Acad. year 2024/2025Full-Time 2 Years Title Awarded Ing.

Within the Software Engineering specialization, you will learn about the theory, technologies and procedures used to develop information systems. In addition to theory, you will learn to develop such systems using modern development tools, methods and technologies. You will learn how to develop web applications and applications in a distributed environment. Upon completion of your studies, you will be prepared to design, operate and manage information systems. You will also become familiar with the technologies and important standards used in project management and to support business activities. You will be sought after by companies developing or operating software systems - for example, local government, the military, education, healthcare and all industrial enterprises.

Information technology moves the world

79 %

students gain practical experience
98 %

students successfully pass the State Final Examination
99 %

graduates find work in the month
40 938 Kč

is the average starting salary for graduates

1st Year

In the first semester you will get acquainted with theoretical and supportive basics of informatics and software systems development together with basics of data processing. You will further expand your knowledge of mathematics. In the summer semester, the knowledge in programming techniques and algorithms will be extended or the basics of project management will be mastered. Learn about the creation of advanced information systems.

Compulsory Programme Courses - Winter

Compulsory Programme Courses - Summer

2nd Year

In the second year, you will begin to work on your thesis. Thanks to this, you will also learn about special items that directly relate to the security of information systems, advanced database systems, or data mining. You will distribute the rest of the credits yourself within the framework of both years, you will continue to profile your interests - development of project management and management of information systems, formal analysis, formal language processing, security not only of information systems, etc. or addition of compulsory subjects.

Compulsory Programme Courses - Winter

Semester Project

Compulsory Programme Courses - Summer

Master's Thesis

Arbitrary Year

These compulsory courses can be enrolled in any year of study.

Compulsory Programme Courses - Summer

Modern Trends in Informatics (in English)

Compulsory Specialization Courses - Winter

Compulsory Specialization Courses - Summer

Recommended Courses - Winter

Recommended Courses - Summer

Arbitrary

2nd Year

Přehrát

The common basis of the programme

The common core of the program consists of courses that will give you the knowledge important for all IT engineers:

Computation Systems Architectures will teach you how to think about how your code will run on modern computing platforms, how to think about programming in a way that makes the most efficient use of resources, i.e., that your application makes the best use of the power of modern platforms, makes efficient use of system memory resources, and is also efficient in terms of energy consumed.
Functional and Logic Programming will teach you that although classical imperative programming is a very widely used paradigm and is very close to machine-level implementation, there are other approaches that will give you a new perspective on some key problems and help you get novel and often more efficient solutions to them.
Modern Trends in Informatics (in English) you need to know to see where the field is going and what to expect in practice in a few years.
Parallel and Distributed Algorithms is a course that will show you the patterns, limits, and pitfalls of parallel and distributed algorithmic solutions and the associated synchronization mechanisms, without which you will hardly succeed in solving many of the more complex problems.
Statistics and probability is the right hand of every engineer to process numerical results of experiments or data obtained while running your application, analyze them and learn from them to make further decisions is almost his daily bread.
Theoretical Computer Science shows the limits of computer science capabilities through formal languages and mathematical models of computation. This is the only way to understand whether your problem is even solvable and, if so, with what resources and means to prove it.
Data Storage and Preparation, especially big data, and extracting knowledge from it is a valuable art to any computer scientist. It is a key aspect that strongly influences the effectiveness of many solutions and applications.
Artificial Intelligence and Machine Learning is a course where you will learn how to teach computers to understand our world and make them solve problems that are easy for humans but difficult for an algorithmic machine to handle.

Recommended course compositions

Software Engineering

Software engineering is the process of analysing user needs, designing, building and testing applications for end users. The aim is to introduce students to the theory, technologies and practices used in the development of information systems (IS) and to teach them how to develop such systems using modern development tools, methods and technologies. Students will also learn about the methodology and techniques of IS development with respect to the current needs of the business sphere and the knowledge areas of project management. In the compulsory courses, students will deepen the knowledge acquired in the Bachelor's studies, especially in the areas of database and information systems, data mining, knowledge extraction from data, artificial intelligence, automated testing and machine learning. Attention is also paid to the security of information systems. By selecting electives, students can further focus on deepening the theoretical foundations of formal specifications or cryptography, or focus more practically on, for example, the creation of web applications and applications in a distributed environment. Thanks to the high-quality theoretical education and a broad universal basis of application-oriented studies, the graduate's high adaptability to many current requirements of his/her future professional practice, including in other areas of information technology, is ensured.
The graduate is oriented in the components and architectures of information systems and can integrate technical and software products in their creation.