Software Engineering
Qualification given: Bachelor / Engineer-software Developer
Faculty: Faculty of Information Technologies
Department: Department of Software Engineering
Study period: full-time – 4 year
To be a software engineer is prestigious, relevant and informative. By choosing this specialty, you choose the path of continuous professional growth and self-improvement.
Within the framework of the specialty, software developers are trained for various purposes: hardware, system, application, Internet and mobile applications, computer systems and networks, databases, artificial intelligence systems and knowledge bases.
The uniqueness of this specialty is in its versatility. Students study various programming languages and technologies, analyze architecture, create algorithms, test and maintain the created software.
Graduates of the specialty can work in any IT sphere, which is why this specialty is so popular among applicants.
Skills and competencies
- software development, testing, maintenance;
- implementation and maintenance of programs in production;
- possession of up-to-date tools for the development and debugging of software products;
- making instructions, standardize and certify software tools;
- database design and development;
- work with artificial intelligence systems;
- mobile application development
Graduate destinations
- IT companies
- Banks and financial institutions
- Automation and control departments at industrial enterprises
- Educational and scientific institutions
Professional activity
- mobile development
- gaming industry
- web development
- system programming
- AR and VR technologies
- business process analysis
- Data Science
- information security
Educational programme
- Algorithmization and programming
- Software design
- Programming in high-level languages
- Computer systems and networks
- Assembly language programming
- Functional programming
- Web technologies
- System programming
- Databases
- Information security
- Software testing
- Programming of mobile systems
- Modern programming platforms
- Network technologies and operating system administration
- Programming on the .NET platform
- Machine learning methods
- Computer vision algorithms
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