Biomedical Computing

M.Sc.

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Technical University of Munich

Course Overview

Biomedical computing is a dynamic field of study that combines computer science with aspects of biology and medicine. Computer-assisted medical imaging technology plays a crucial role in modern clinical environments, as medical diagnosis and treatment are increasingly supported by imaging procedures. Consequently, there is a growing demand for specialists who are skilled in this particular field that lies at the intersection of computer science and medicine. The masters in Biomedical Computing at the Technical University of Munich qualifies graduates for a range of exciting careers in research institutes or industry, in both theoretical and application-oriented fields. The masters in Biomedical Computing is taught in English over four semesters and is an interdisciplinary program involving the Department of Informatics and the TUM Medical School. The program bridges the gap between computer science and medicine, focusing on software and imaging-related solutions for computer-aided medical procedures. Topics covered include medical data acquisition and management, medical ontologies and physics of medical imaging, medical image processing, visualization, advanced user interfaces, and computer-aided medical solutions. Students participate in a mandatory clinical project and in medical courses delivered by experts from TUM Medical School. This provides a unique understanding of medical problems in imaging, interventions, and diagnosis. Students can also select related modules from the extensive range offered by TUM Informatics.

Program Outline

Course Overview

  • Teaching method: Face to Face
  • Starting in: October
  • Full Time Duration: 24 months
  • This Program is taught in: English

Ratings:

  • Course rating:
  • University rating:
  • Value for money:

Fees:

  • Domestic Students: 120 EUR (150 USD) per 1
  • International Students: 120 EUR (150 USD) per 1

Address

Arcisstraße 21, 80333 München, Germany

Course Overview

Biomedical computing is a dynamic field of study that combines computer science with aspects of biology and medicine. Computer-assisted medical imaging technology plays a crucial role in modern clinical environments, as medical diagnosis and treatment are increasingly supported by imaging procedures. Consequently, there is a growing demand for specialists who are skilled in this particular field that lies at the intersection of computer science and medicine. The masters in Biomedical Computing at the Technical University of Munich qualifies graduates for a range of exciting careers in research institutes or industry, in both theoretical and application-oriented fields. The masters in Biomedical Computing is taught in English over four semesters and is an interdisciplinary program involving the Department of Informatics and the TUM Medical School. The program bridges the gap between computer science and medicine, focusing on software and imaging-related solutions for computer-aided medical procedures. Topics covered include medical data acquisition and management, medical ontologies and physics of medical imaging, medical image processing, visualization, advanced user interfaces, and computer-aided medical solutions. Students participate in a mandatory clinical project and in medical courses delivered by experts from TUM Medical School. This provides a unique understanding of medical problems in imaging, interventions, and diagnosis. Students can also select related modules from the extensive range offered by TUM Informatics.

Program Outlines

Course Overview

  • Teaching method: Face to Face
  • Starting in: October
  • Full Time Duration: 24 months
  • This Program is taught in: English

Ratings:

  • Course rating:
  • University rating:
  • Value for money:

Fees:

  • Domestic Students: 120 EUR (150 USD) per semester
  • International Students: 120 EUR (150 USD) per semester

Address

Arcisstraße 21, 80333 München, Germany

What career paths do people with a Masters in Biology take?

  • Research 19.2
  • Education & Academics 16.5
  • Healthcare Services 15.6
  • Business Development 11
  • Entrepreneuership 6.3
  • Community and Social Services 4.5
  • Operations 3.8
  • Media and Communications 3.3
  • IT 3.2
  • Consulting 3

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