MSc in in Computer Aided Engineering Processes: Virtualization of Foundry Engineering
Area of Studies
engineering, technology
Degree
Master
Degree (in English)
Second-cycle (Master)
Language(s)
- English
Course Duration
3 semesters
ECTS points
90
Department
Faculty of Foundry Engineering
Tuition and Other Fees
2000 EUR
Application Deadline(s)
winter time (January - February)
Course Description
Course Profile
The education program implemented of the future staff of engineers in the field of metallurgy and foundry, with particular emphasis on the ability to use IT tools. Cooperation with the industry allows to improve students' qualifications in production planning, technology and implementation of modern solutions based on the use of computer techniques and process simulations. The study program implemented in the field of Computer Aided Engineering Processes is adapted to the standards of technology and IT faculties. The scope of subjects conducted during studies includes in-depth knowledge of mathematics, physics, chemistry, technological processes: in the field of metallurgy and foundry, as well as modern production management systems and broadly defined computer science. Thanks to such a solution, a graduate of the field of study is competitive on the labor market, because he has the skills and knowledge expanded compared to a typical computer science graduate with the principles of thermodynamics, laws of fluid mechanics and computer modeling of thermo kinetic processes, numerical methods and calculations used in computer simulations of foundry processes, electrical engineering, mechanics and strength of engineering materials and their applications in machine design and construction, crystallization of metals and their alloys as well as modern techniques and research methods used in metal science, computer solid design (CAD) and computer graphic design. The knowledge he has allows him to creatively solve problems related to technology and management.
Recommendations: The candidate should have the knowledge, skills and competences described in the field of learning outcomes for the first degree. The candidate should have the knowledge, in particular in the area of mathematics, physics, chemistry and to know the basics of metallurgy, foundry, metal science (basic).
Education Requirements
BSc in a cognate discipline or equivalent document, appropriate knowledge of English
REQUIREMENTS FOR SECOND-CYCLE DEGREE PROGRAMMES
- curriculum vitae
- scan of a higher education diploma with legalization (or an apostille), entitling to apply for admission to second-cycle degree programmes at universities of any type in the country in which the document was issued
- scan of a supplement with grades or another official document covering subjects passed by the candidate in the studies completed so far, including lectures, auditorium classes, laboratory classes, seminars, projects etc. together with a scale of grades confirmed by the university that the candidate graduated from or an authorised institution
- scan of a passport page with a photo and personal data
- scan of a photo in an official outfit on a light background
Contact
Programme details - contact:
Faculty of Foundry Engineering
Dr inż. Daniel Gurgul
e-mail: dg@agh.edu.pl
Recruitment details - contact:
Department for International Students
international.students@agh.edu.pl
phone: +48 12 617 50 92
AGH University of Science and Technology
A. Mickiewicza Ave. 30
30-059 Krakow, Poland
building A-3, room No 12A
phone: +48 12 617 50 92
email: international.students@agh.edu.pl
www: http://international.agh.edu.pl
Study programmes
- BSc in Computer Physics
- BSc in Computer Science
- BSc in Electronics and Telecommunications-Computer Engineering
- BSc in Mechatronic Engineering
- MA in Management: International Management
- Master, RaVeN – Raw Materials Value Chain
- MSc in Applied Geology: Economic Geology
- MSc in Automatic Control and Robotics: Cyber-Physical Systems
- MSc in Chemical Technology: Chemical Technologies in Energy Sector
- MSc in Computer Science and Intelligent Systems: Artificial Intelligence and Data Analysis
- MSc in Electrical Engineering: Smart Grids Technology Platform
- MSc in Electronics and Telecommunications: Network and Services
- MSc in Energy and Environmental Engineering: Energy and Environmental Engineering
- MSc in Energy Engineering: Energy Transition
- MSc in Geoinformation: Remote Sensing and GIS
- MSc in Geophysics: Applied Geophysics
- MSc in in Computer Aided Engineering Processes: Virtualization of Foundry Engineering
- MSc in Materials Engineering: Functional Materials
- MSc in Mechatronic Engineering: Mechatronics Design
- MSc in Metallurgical Engineering
- MSc in Mining Geology: Mining Engineering
- MSc in Non-Ferrous Metals Science and Engineering: Modern Materials, Design and Application
- MSc in Oil and Gas Engineering: Petroleum Engineering