Electronics, Automation and Robotics

General Information about the program: MSc in Electronics, Automation and Robotics (EAR) 2024-2027

Study Program Overview

Mission, Objectives, and Administration

Program Mission

The mission of the Master of Science in Electronics, Automation and Robotics (EAR) program is fully aligned with the overarching mission of the Faculty of Electrical and Computer Engineering (FECE) and the University of Prishtina (UP). The program aims to educate creative and skilled engineers equipped with both transferable and specialized competencies who are capable of addressing challenges in modern electronics, automation, and robotics; generating and disseminating new knowledge; and leading interdisciplinary education to solve real-world industrial and technological problems.

Through this program, students receive a rigorous and research-oriented education that prepares them for advanced studies and for professional and ethical engineering practice in a competitive global environment. The program integrates theoretical foundations with applied and research-based learning, emphasizing innovation, sustainability, and alignment with national and European development priorities.

Academic and Research Orientation: The EAR program combines advanced teaching methodologies with research and innovation. It develops a coherent didactic and scientific approach that unites electronic systems, automation, and robotics through modern interdisciplinary frameworks.

Students gain theoretical and practical knowledge in electronics (microelectronics, RF and microwave circuits, optoelectronics, power electronics, instrumentation, biomedical electronics, and electronic design automation) and in automation and robotics (automatic control, embedded systems, PLC/SCADA, distributed control, mobile and industrial robots, IoT systems, and artificial intelligence applications).

The curriculum emphasizes critical and creative thinking, independent and team-based problem solving, and close collaboration with research laboratories and industry partners. The program’s outcomes are aligned with the National Qualifications Framework (NQF) and the European Qualifications Framework (EQF) – Level 7, ensuring comparability and academic mobility within the European Higher Education Area (EHEA).

Ethical Principles and Compliance: All staff and students in the EAR program adhere to the institutional codes of ethics, ensuring integrity in teaching, research, and assessment. The program fosters academic honesty, inclusivity, and professional responsibility in all academic and administrative activities.

Program Objectives

Graduates of the program will:

  • Possess advanced knowledge of the design, operation, and control of complex electronic and automation systems.

  • Be able to analyze, design, implement, and diagnose electronic systems, automation processes, and robotic applications.

  • Design autonomous control systems based on microcontrollers, computers, and PLCs, integrating sensors, actuators, and communication protocols.

  • Develop and apply control strategies for electric drives, including PWM, vector, and sensorless techniques for high-efficiency and sustainable applications.

  • Integrate renewable energy sources (solar, wind, storage) with automation and monitoring platforms for intelligent energy management.

  • Acquire skills in IoT technologies, communication protocols (e.g., MQTT, Modbus, OPC-UA), cybersecurity, and AI/ML-based control systems for smart industry applications.

  • Conduct research and innovation in modeling, optimization, simulation, and experimental validation of electronic and robotic systems.

  • Demonstrate leadership, collaboration, and ethical responsibility in multidisciplinary environments.

  • Maintain academic continuity and contribute to developing human capacity in electronics, automation, and robotics in Kosovo and beyond.

  • Be fully prepared for both professional practice and doctoral-level (Level 8) academic advancement.

 

Intended Learning Outcomes

Knowledge

Graduates of this program will:

  • Demonstrate advanced theoretical and practical knowledge in electronics, automation, robotics, and electromechanical drive control, integrating multidisciplinary engineering principles.

  • Understand the operation, modeling, and control of electric motors (DC, AC, and servo) used in industrial and robotic systems.

  • Possess in-depth knowledge of power electronic converters, control architectures, and their application in energy conversion, automation, and renewable systems.

  • Understand the architecture and integration of renewable energy systems with power electronics, storage, and automated control systems for hybrid and distributed operation.

  • Apply advanced knowledge in microelectronics, optoelectronics, sensors, actuators, and signal processing for intelligent control and robotic systems.

  • Comprehend mathematical modeling, simulation methods, and communication protocols for embedded, industrial, and distributed automation.

  • Demonstrate understanding of the Internet of Things (IoT) and its integration with automation and robotics for real-time data collection, control, and interconnectivity.

  • Acquire knowledge of Machine Learning (ML) and Artificial Intelligence (AI) techniques applied to intelligent control, adaptive systems, and autonomous robotic behavior.

  • Understand cybersecurity principles focused on protecting industrial networks, embedded systems, and cloud-based infrastructures.

  • Recognize the significance of Cloud and Edge Computing in data analytics, remote monitoring, and scalable automation.

  • Demonstrate knowledge of interdisciplinary system integration, linking electronics, informatics, control, and mechanical systems into adaptive intelligent solutions.

  • Acquire research-oriented knowledge in system modeling, optimization, and identification, preparing for scientific and industrial innovation.

  • Understand ethical, environmental, and sustainability principles in technological development and implementation.

 

Skills

Graduates will be able to:

  • Design, analyze, and implement electronic circuits, automated systems, robotic mechanisms, and electric drives using advanced modeling, simulation, and digital twin tools.

  • Develop control strategies for electromotor drives, including PWM, vector, and sensorless control for efficient industrial and robotic applications.

  • Integrate renewable energy sources (solar, wind) with automation and energy storage platforms for intelligent management and monitoring.

  • Implement IoT technologies to interconnect sensors, actuators, and embedded systems, enabling real-time data acquisition, predictive maintenance, and optimization via cloud or edge computing.

  • Apply IoT communication protocols (MQTT, Modbus, OPC-UA) and data analytics for smart industrial automation and robotics networks.

  • Design and optimize power electronic interfaces for renewable energy integration and motor drives.

  • Develop embedded control algorithms for real-time applications using microcontrollers, PLCs, and SCADA systems, ensuring reliability and cybersecurity.

  • Conduct independent and collaborative research using scientific methodologies to solve complex problems in automation, robotics, and energy systems.

  • Apply simulation and experimental validation to evaluate and enhance system performance in electromechanical and IoT-based automation.

  • Communicate effectively technical concepts and research results to professional and multidisciplinary audiences, in both written and oral forms.

  • Utilize modern software tools and cloud-based platforms for system integration, monitoring, and control within Industry 4.0 and smart manufacturing frameworks.

Competences

Upon completion of the program, graduates will:

  • Manage and implement complex projects in electronics, automation, robotics, IoT-based systems, and electromechanical energy systems, ensuring technical precision, cybersecurity, and environmental sustainability.

  • Apply advanced knowledge to design and optimize intelligent, energy-efficient, and interconnected systems for industrial, renewable, and robotic applications.

  • Demonstrate leadership, creativity, and professional responsibility in innovating automation processes, integrating AI, ML, and cloud computing into adaptive control systems.

  • Employ IoT and Industry 4.0 technologies for real-time monitoring, predictive analytics, and decision-making in automated infrastructures.

  • Collaborate effectively within interdisciplinary and multicultural teams, assuming ethical and professional responsibility for project outcomes and societal impact.

  • Engage in lifelong learning and continuous professional development, staying current with advances in automation, robotics, IoT, AI, and sustainable energy technologies.

  • Demonstrate advanced analytical, managerial, and research competences required for doctoral studies (Level 8) or for leadership positions in high-tech industries, R&D centers, and smart manufacturing sectors.

 

Program Administration

The Master of Science (MSc) in Electronics, Automation and Robotics program is jointly administered by the Department of Electronics and the Department of Computerized Automation and Robotics, in accordance with the Statute of the University of Prishtina (UP) and the internal regulations of the Faculty of Electrical and Computer Engineering (FECE).
The program follows transparent and academically rigorous procedures that ensure effective coordination between teaching, research, and administrative activities.

  • Governance and Oversight: The program is supervised by the Departmental Councils and the FECE Industrial Advisory Board, which periodically review the curriculum to maintain alignment with technological developments, industrial standards, and labor market needs. Decisions related to curriculum improvement, academic staffing, and course planning are made in line with the UP Statute and the FECE Strategic Development Plan.

  • Teaching and Laboratory Infrastructure:The program benefits from modern instructional and research facilities, including specialized laboratories for Electronics, Power Electronics, Embedded Systems, PLC/SCADA, Robotics, Signal Processing, and IoT/Cloud/Edge Computing. These laboratories support both theoretical and practical components of the curriculum, providing students with opportunities to gain hands-on experience using advanced tools, devices, and simulation environments.

Selection Criteria

Student admission to the MSc in Electronics, Automation and Robotics is conducted in compliance with the Statute of the University of Prishtina and the relevant regulations for master’s studies.
Public announcements are published on the official websites of UP and FECE, typically through two annual calls in July and September.

The Departments of Electronics and Computerized Automation and Robotics determine the subjects included in the entrance examination, which generally consists of three to five bachelor-level courses. Examination results are usually published within two to three days, and candidates have the right to appeal within three days of publication.
The Commission for Result Publication is appointed by FECE.

Evaluation Scheme

Candidate selection is based on a 100-point scale, distributed as follows:

  • Academic performance in bachelor studies: up to 30 points

  • Entrance examination results: up to 70 points

The entrance examination also includes an English language component, which accounts for up to 10% of the total score.

Candidates holding international English language certificates such as TOEFL (≥70) or IELTS (≥5.5) automatically receive 5 points, while additional points may be awarded based on performance in the English section of the entrance exam.

Applicants who completed their previous education outside Kosovo must fulfill specific requirements in accordance with the Statute of the University of Prishtina and hold a recognized bachelor’s degree or equivalent qualification as stipulated by the Ministry of Education, Science, and Technology (MEST).

Grading Criteria

All academic units of the University of Prishtina apply the following grading scale for evaluating student achievement:

10 – Excelent

9 - Very good

8 – Good

7 – Satisfactory

6 - Sufficient

5 - Fail

A student successfully completes a course if they achieve a grade of at least 6 (Sufficient).
Assessment in each course may include one or more of the following components:

  • Final exam

  • Midterm exam(s) or quizzes

  • Project work or laboratory assignments

  • Class participation and engagement

The exact weight of each component is specified in the individual course syllabus. However, all courses adhere to the uniform University grading scale shown above.

 

Quality Assurance

A comprehensive quality assurance framework is implemented to ensure that the MSc in Electronics, Automation and Robotics program maintains high academic standards, relevance, and continuous improvement.

Regular internal and external evaluations are carried out to assess teaching quality, student achievement, and program effectiveness. The results of these evaluations are systematically used to enhance the program structure, learning outcomes, and teaching methodologies.

Student feedback, collected through course evaluations and surveys, plays a central role in the ongoing development of the curriculum and academic environment. Furthermore, continuous stakeholder engagement, including consultations with employers, alumni, and industry representatives, ensures that the program remains responsive to technological trends and the evolving labor market.

The program adheres to the principles and standards set by the European Association for Quality Assurance in Higher Education (ENQA) and the European Higher Education Area (EHEA). These frameworks guarantee that the learning outcomes, assessment methods, and academic quality are consistent with European best practices, fostering transparency, accountability, and comparability with other accredited institutions across Europe.

 

Tuition Fees

Studies at FIEK are free of charge for all full-time students who successfully follow the two-year (Master) programs and do not repeat any academic year during their studies.

In cases where a student fails to advance to the next academic year and is required to repeat the year, a semester fee of 150 euros, or 300 euros per academic year, is applied.

 

MSc_Electronics, Automation and Robotics
Publikuar me: 23/04/2023 Shkarko
1.2 _MSc_EAR_Sylabuses_2024-2027
Publikuar me: 31/10/2025 Shkarko