Mobilnosti studenata
Učešće u programima mobilnosti studentima pruža neprocjenjivo iskustvo usavršavanja u inostranstvu, ali i priliku za razmjenu znanja i ideja sa kolegama iz različitih akademskih i kulturnih sredina. Istovremeno, to je i prilika za unaprjeđivanje jezičkih vještina, razvijanje interkulturalnih kompetencija i sticanje međunarodno priznatih sertifikata. Kroz programe mobilnosti studenti prepoznaju sopstvene sposobnosti i potencijale razvijaju preduzetnički duh i fleksibilnost ali i grade profesionalnu mrežu kontakata, što im je od velikog značaja u izgradnji akademske i profesionalne karijere.
Brojne su mogućnosti za mobilnost studenata Mašinskog fakulteta, a neprestano se otvaraju i nove. Stalne mogućnosti za mobilnost studenata su:
· Angažovanje studenata u međunarodnim projektima Mašinskog fakulteta. Projekti kroz koje se ralizuju mobilnosti studenata su uglavnom iz Erasmus+ programa. Lista aktivnih projekata Mašinskog fakulteta se može pogledati na linku: https://www.ucg.ac.me/projekti/mf
· Apliciranjem na konkursima Erasmus + programa mobilnosti. Detaljnije informacije o aktuelnim konkursima, visini stipendija i svim ostalom informacija u vezi ove vrste mobičnosti se mogu naći na linku: https://www.ucg.ac.me/objava/blog/19379/objava/151236-aktuelni-erasmus-konkursi-za-razmjenu-studenata-u-akademskoj-2025-2026
· Apliciranjem na Ceepus programima mobilnosti. Mašinski fakultet je kroz brojne Ceepus mreže povezan sa svim državama koje participiraju u Ceepus programima mobilnosti. Detaljnije informacije o ovim programima se mogu naći na sledećem linku: https://www.ceepus.info/
· Apliciranjem na Ulysseus programima mobilnosti. Detaljnije informacije o ovim programima se mogu naći na sledećem linku: https://www.ucg.ac.me/objava/blog/617810/objava/177084-ulysseus-mogucnosti-za-studente
Ostale informacije o mogućnostima mobilnosti studenata se mogu naći na sledećem linku: https://www.ucg.ac.me/rektorat/saradnja#
Lista aktivnih CEEPUS mreža u kojima učestvuje Mašinski fakultet:
· RS-0304-17-2526 “ Technical Characteristics Researching of Modern Products in Machine Industry with the Purpose of Improvement Their Market Characteristics and Better Placement on the Market”
· RS-1812-02-2526 „Application of CAx technologies in smart production as a significant basis for the development of Industry 4.0 in small and medium-sized enterprises - connection between industry and higher education institutions through lifelong learning“
· RS-1813-02-2526 „Metrology, quality and environmental aspects in Industry 4.0“.
· PL-1509-06-2526 - Internet of Things and Teleinformatics - ITT network Partner
· BG-1103-10-2526 - Modelling, Simulation and Computer-aided Design in Engineering and Management
· SK-0030-21-2526 - Internationalisation and development of joint activities in the field of smart factories based on intelligent manufacturing systems, robotics and artificial intelligence - contribution to increased flexibility, skills, competences and mobility of students and teachers in the CEE region
· PL-0701-14-2526 (Umbrella) - Engineering as Communication Language in Europe
· BA-2003-01-2526 - Circular Economy and Energy Efficiency
· RS-1815-03-2526 - Greening Project Management for a Sustainable World: Developing and Empowering a New Generation of Changemakers
· PL-0007-21-2526 (Umbrella) - Metronet - network for modern measuring and manufacturing technologies
· RO-0013-21-2526 - Teaching and Research of Environment-oriented Technologies in Manufacturing
· RO-0058-18-2526 - Design, implementation and use of joint programs on artificial inteligence, quality and manufacturing engineering in accordance with industry 4.0
· RS-1012-11-2526 - Building knowledge and experience exchange in CFD
· RS-2020-01-2526 (Umbrella) - Computer-Aided Design in Engineering Training and Practice Improvement in Industry 4.0 - CADET&PI4.0
· RS-2017-01-2526 - Advancing sustainable environmental, health and safety practices for green job readiness (SustainForce Alliance)
· RS-1412-07-2526 - Interdisciplinary approach for enhancing knowledge in supply chain analytics (SCAN)