| Course | Number of hours | ECTS points | Form of verification | Obligatory |
|---|---|---|---|---|
HiTech Production Processes
|
Tutorials: 15 Laboratory classes: 45 Project work: 15 Lecture: 10 |
8 | Graded assignment | Obligatory |
Smart Factory 1
|
Tutorials: 30 Project work: 15 |
4 | Graded assignment | Obligatory |
Maintenance Engineering and Lean Management
|
Tutorials: 15 Laboratory classes: 15 Project work: 10 Lecture: 5 |
4 | Graded assignment | Obligatory |
Operations Leadership and Managerial Practice
|
Tutorials: 15 Project work: 25 Lecture: 10 |
5 | Graded assignment | Obligatory |
Project Management Methods and Tools
|
Tutorials: 10 Project work: 15 Lecture: 10 |
3 | Graded assignment | Obligatory |
|
Tutorials: 45 |
2 | Graded assignment | Obligatory |
|
Total number of contact hours: 45 |
4 | Graded assignment | Obligatory group |
| Sum | 350 | 30 |
Kierunek Smart Manufacturing and Management
2026/27, studia drugiego stopnia (magister inżynier), studia stacjonarne
A graduate of this program possesses advanced knowledge and skills in modern production systems, industrial automation, and process management in Industry 4.0 environment. Understands the principles of designing, implementing, and improving production processes using modern manufacturing technologies, cyber-physical systems, industrial automation, data analytics, and digital tools used in smart factories. Possesses competence in the field of design, analysis, and optimization of production and logistics processes, using lean management methods, maintenance engineering, and analytical tools to support decision-making. Can analyze operational data, model processes, and propose solutions that increase the efficiency, reliability, and flexibility of production and logistics systems. A graduate also demonstrates advanced management and organizational skills. Is prepared to plan, coordinate, and supervise the implementation of engineering and innovation projects in industrial, manufacturing, and service enterprises. Can effectively manage a team, organize work in an interdisciplinary environment, make decisions under uncertainty, and solve operational and organizational problems. Understands and applies modern methods of project management, change management, and quality management in technologically advanced organizations. A graduate can combine technical knowledge with managerial skills, enabling them to effectively manage production and logistics processes, as well as implementation projects related to the digital transformation of enterprises. Is prepared to make strategic and operational decisions based on data and process efficiency analysis. Possesses communication skills enabling the effective transfer of technical and managerial information in an international environment, including in English. A graduate is characterized by ethical and social awareness regarding the implementation of new technologies and their impact on organizations, work environment, and society. Is prepared for continuous professional development, adapting to dynamic technological changes, and addressing the challenges associated with the digital transformation of industry.
Chair of the Programme Board: dr inż. Dorota Piotrowska, prof. uczelni
The programme was approved by Senate Resolution No. 46/2026 of 1 April 2026.
| Course | Number of hours | ECTS points | Form of verification | Obligatory |
|---|---|---|---|---|
Modern Production Systems
|
Tutorials: 15 Laboratory classes: 30 Project work: 15 Lecture: 5 |
5 | Graded assignment | Obligatory |
Industrial Automation
|
Tutorials: 15 Laboratory classes: 15 Lecture: 5 |
3 | Graded assignment | Obligatory |
Smart Factory 2
|
Tutorials: 60 Project work: 30 |
8 | Graded assignment | Obligatory |
|
Tutorials: 45 Project work: 15 Lecture: 15 |
7 | Graded assignment | Obligatory |
|
Seminar: 3 Lecture: 3 |
1 | Graded assignment | Obligatory |
|
Total number of contact hours: 75 |
6 | Graded assignment | Obligatory group |
|
The student selects up to two courses, in any language of instruction, from the second-cycle (Master’s) study offer at Lodz University of Technology or from the micro-modules and Challenge-based Learning modules offered by universities within the ECIU. |
||||
| Sum | 346 | 30 | ||
| Course | Number of hours | ECTS points | Form of verification | Obligatory |
|---|---|---|---|---|
|
Tutorials: 30 Laboratory classes: 15 Project work: 30 Lecture: 15 |
6 | Graded assignment | Obligatory |
|
Tutorials: 45 Laboratory classes: 30 |
6 | Graded assignment | Obligatory |
Supply Chain Management and Logistics 4.0
|
Tutorials: 45 Project work: 30 Lecture: 15 |
6 | Graded assignment | Obligatory |
|
Internship: 0 |
6 | Pass | Obligatory |
|
Total number of contact hours: 75 |
6 | Graded assignment | Obligatory group |
|
The student selects up to three courses, in any language of instruction, from the second-cycle (Master’s) study offer at Lodz University of Technology or from the micro-modules and Challenge-based Learning modules offered by universities within the ECIU. |
||||
| Sum | 330 | 30 | ||
| Course | Number of hours | ECTS points | Form of verification | Obligatory |
|---|---|---|---|---|
Final Project Seminar
|
Seminar: 10 |
3 | Graded assignment + exam | Obligatory |
Final Project
|
Diploma Thesis: 0 |
20 | Pass | Obligatory subjects to choose from |
|
Seminar: 3 Lecture: 3 |
1 | Graded assignment | Obligatory |
|
Internship: 0 |
6 | Pass | Obligatory |
| Sum | 16 | 30 |