Select Course

3D Bioprinting (Compulsory – 8 ECTS)

Bio-Sensors & Advanced Biomedical Signals (Elective – 6 ECTS)

Bio-Statistics/Big data analysis (Compulsory – 8 ECTS)

Digital Therapeutics (Elective – 6 ECTS)

Grant Writing & Project Management (Elective – 6 ECTS)

Implant design and optimization (Compulsory – 8 ECTS)

Courses

Students will engage a number of compulsory and elective curses during the first two semesters, summing uo to a total of 8 biomedical engineering subject. These provide sound preparation for the final project of the MSc, which may be carried out, either on campus or at a collaborating/affiliated institute.

Implant design and optimization (Compulsory – 8 ECTS)

The course introduces students to rational approaches employed in the design and development of implantable medical devices, targeting various clinical applications, such as spinal-, craniomaxillofacial- and cardiovascular implants.

Grant Writing & Project Management (Elective – 6 ECTS)

Students entering this course are familiarized on both concepts, Grant Writing and Project Management but are asked to engage a semester-long assignment, focusing on only one of them.

Bio-Statistics/Big data analysis (Compulsory – 8 ECTS)

This course focuses on data statistical analysis. The objective is for students to develop the knowledge, skills and perspectives necessary to analyze clinical, medical and biology data in order to answer specific research questions.

3D Bioprinting (Compulsory – 8 ECTS)

This course is organized around biomaterials in tissue engineering and the contribution of 3D printing in the engineering of artificial tissues and/or even organs.

Bio-Sensors & Advanced Biomedical Signals (Elective – 6 ECTS)

This course focuses on biosensors and advanced signal processing. The objective is for students to develop the knowledge, skills and perspectives necessary to understand concepts like data acquisition, data aggregation and data processing. During the labs, practical examples in biomedical signal analysis are conducted using MATLAB, with focus on cardiology, encephalography and motion detection.

Digital Therapeutics (Elective – 6 ECTS)

This course focuses on software (platforms, apps, algorithms) that has proven to deliver a therapeutic intervention and has gotten approval to be prescribed, either alone or in combination with other standard-of-care treatments, to improve therapy outcomes.

English Taught

Despite the course being taught in English, there are no particular language skill requirements and a Lower degree, or equivalent, would suffice for enrollment (students with basic English, should however be proficient in Greek). Even though the MSc is not aimed at developing your English knowledge, we expect that you’ll improve your English to an advanced level. These intangible skills will help you get ahead of other applicants on the international job market.

Part-Time Study

Out of its eighteen months of duration, the first twelve are dedicated mainly on the taught components, with lectures divided into two blocks per semester (semesters one and two), followed by exams. The final six months (third semester) are spent on a project/thesis which is assigned and supervised by one of the MSc’s Professors.