Orient your studies to your personal interests

Official Degree

Master's Degree in Biomedical Technologies

Duration

90 ECTS

1,5 years

Campus

Arrasate-Mondragón

Class size

24 places

Languages

Spanish, English

Modality

On-site

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Orient your studies to your personal interests

SPECIALISATION

Orient your studies to your personal interests

Take the initiative in your studies and develop your knowledge based on your areas of interest.

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The Master’s Degree in Biomedical Technologies of Mondragon University offers a specialisation in different diagnosis and treatment technologies, such as:Lab on a chip

  • Lab on a chip
  • Tissue engineering
  • Augmented reality
  • 3D manufacturing
  • Bioinformatics  
  • Biomedical imaging  

Additionally, for several weeks of the semester, the classes are interrupted so that the students can develop a team project. Thus, the goal is that students take the initiative in their studies and develop their knowledge based on their personal interests, thus being able to guide their projects to deepen specific technologies.

COLLABORATIVE PROJECTS

The engineering faculty of Mondragon Unibertsitatea has 17 research groups where engineering students have the opportunity to collaborate through the Dual Program. Several research groups develop projects for the bio sector and the following video shows one of the examples.

New generation dressings for chronic wounds

The university's Surface Technologies research group is working on a project with the Basque Center of Transfusion and Human Tissues, the aim of this collaboration is to develop new generation dressings for patients with chronic pathologies and thus avoid surgical interventions in people with diabetes, ulcers or other pathologies.

This research project is directly related to the Tissue Engineering and Regenerative Medicine course of the Master.

Retina, a window to the brain

A team from the Faculty of Engineering of Mondragon Unibertsitatea and the Biocruces Institute are working on the search for new ways of tackling Parkinson's disease, detecting it and establishing evolutionary patterns by means of non-invasive retinal analysis techniques.