Industrial Engineering

Field of study:

Textiles (clothes, footwear and leather)

Study language::

EN

Study program code:

P0723D270004

Application deadline:

01.03.2027

ISCED code:

0723

Study form::

full-time

Study duration:

4 years

Number of applicants in the last academic year: 0

Number of admitted students in the last academic year: 0

The objective of the proposed PhD programme Industrial Engineering is to prepare university-educated top specialists in research, development and applications in quality management, experiment design, forecasting, implementation of Industry 4.0 (the Fourth Industrial Revolution) principles and comprehensive statistical data analysis, particularly in industrial applications dealing with fibre structures. The structure and curriculum of the course respond to the industry demand for specialist qualified staff focusing on product innovation including the innovations of high-order and the improvement / functionalisation of production systems and processes while complying with requirements for sustainability and efficient waste utilisation. These needs stem from the accelerated development of new technologies with respect to a reduction in environmental and energy-related issues as forecasts based on the current situation point out for them to be of key importance for the future.

Graduates from the Industrial Engineering PhD course will have a thorough specialist knowledge of their field (product and technology process quality management, comprehensive high-order innovation development and implementation of methods using computer-assisted data mining production concepts) to allow them to apply creative and research work in the field. Graduates will have mastered modern principles of designing and managing technical projects, with a focus on the development of high-order innovation. They will be able to prepare, lead and evaluate such projects. They will have developed their communication skills and be able to follow through their ideas and views. They will be thoroughly familiar with data handling methodologies using computer-assisted approaches referred to as soft computing. They will be prepared to implement the techniques and tools of Industry 4.0 into practical applications. They will also be able to quickly adapt to demanding work in other fields and interdisciplinary research. They will be poised to continue their skill growth independently and comprehensively deal with complex research, technical and engineering issues.

School detail

Institution type:

public

Founded:

1953

Abbreviation:

TUL

Number of students:

6596

Number of international students in degree programs:

448

Number of international exchange students:

431

Number of international alumni

80