Design Your Professional Profile
Navigate through the 3 academic levels of IDS, discover how your professional maturity is shaped, and bridge your knowledge with Research, Industry, and Entrepreneurship.
IDS Tracker
Level 1: Core FoundationAcademic Levels (Click to switch)
Core Stats Development
Level 1: Foundation & Scientific Kick-off
105 ECTSProfessional Maturity:
Transitioning from fragmented information to structured engineering thinking. Students develop the ability to analyze complex technical problems using engineering methodologies, mathematical models, and computational tools.
Connection to Career Pillars:
Preparation for joining tech companies and research centers as junior specialists, backed by solid foundations in software development and problem-solving.
Track: Embedded Hardware Engineering
52.5 ECTSProfessional Maturity:
Moving from circuit theory to full development of autonomous embedded systems. Students adopt the mindset of a "Hardware Architect", capable of developing and testing electronic circuits, embedded hardware, and microcontrollers.
Connection to Career Pillars:
Exclusive specialization in embedded systems, electronic devices, industrial automation, as well as tech companies building hardware.
Track: Wireless & Network Architect
52.5 ECTSProfessional Maturity:
Developing skillsets in network infrastructure management and design. Students learn to design and benchmark network architectures, telecom systems, and Internet of Things (IoT) applications.
Connection to Career Pillars:
Career placement in telecommunication systems, networks, tech companies, and corporate providers of wireless and broadband solutions.
Track: Interactive & Game Developer
52.5 ECTSProfessional Maturity:
Convergence of core software engineering with creative industries. Students build the technical expertise required to construct immersive digital environments, video games, and multimedia content using modern engines.
Connection to Career Pillars:
Career development in game creation, multimedia, electronic games, digital applications, and specialist software engineering agencies.
Track: AI & Data Intelligence Engineer
52.5 ECTSProfessional Maturity:
Transitioning into data-driven decision making. Students master programming in modern software languages and build intelligent frameworks based on algorithms, machine learning, and big data architecture.
Connection to Career Pillars:
Immediate employment in data analysis, software development, software houses, and corporate Business Intelligence squads.
Level 3: Synthesis, Application & Professional Integration
Min 30 ECTSProfessional Maturity:
The absolute pinnacle of student autonomy. The graduate emerges as a fully Ready-to-Market Engineer, equipped to operate effectively within international, interdisciplinary environments while keeping up with engineering ethics and current workflows.
Connection to Career Pillars:
Graduates are qualified to work across: telecommunication systems, embedded systems, electronic devices, data analysis, software development, digital applications, electronic games, as well as inside research labs and advanced technology corporations.
