Smart Systems and Artificial Intelligence
Smart Systems and Artificial Intelligence is a Bachelor’s program at Technical University of Sofia designed for students who want to build intelligent technologies. You’ll study programming, data, and AI foundations while learning how smart systems sense, decide, and act preparing for careers in software, automation, data-driven applications, and further specialization in AI at master’s level.
This bachelor’s program builds the technical foundation for working with smart systems and AI-driven solutions. You start with core computing and engineering fundamentals, then progress into subjects that introduce how intelligent systems are created data handling, machine learning basics, system integration, and automation logic. The focus is practical and structured: learning to solve problems, build prototypes, and understand how real smart systems behave in real environments. It’s a strong option if you want a modern degree aligned with technology trends and broad career opportunities.
Why Students Choose Smart Systems & AI
Smart Systems and Artificial Intelligence at Technical University of Sofia
Choose Where to Study Smart Systems & AI
Available in Sofia • Technical University Sofia
Quick Comparison (What Usually Matters Most)
This program is offered in Sofia and suits students who enjoy problem-solving, coding, and building technology that “thinks.” Students usually choose it if they want an AI-oriented degree with practical skills rather than only theory. Your decision is often about your comfort with math/logic, your interest in data and software, and whether you want the capital-city advantage for internships and tech opportunities.
- Duration: 4 Years (8 Semesters)
- Degree Type: Bachelor’s Degree
- Practical Focus: Programming labs, applied assignments, and smart-system projects
What You’ll Study
Programming Base
- Programming fundamentals and building reliable code for real applications.
Math & Logic
- Math foundations that support AI, algorithms, and technical problem-solving.
Data & Models
- Data handling basics and introductory machine learning model thinking.
Sensors & Systems
- Sensors basics and how smart systems connect software with real-world inputs.
AI Applications
- Applying AI concepts to practical problems through projects and prototypes.
