Medical Engineering and Analytics

zulassungsbeschränkt

High-tech in medical Applications

ASPECTS OF MEDICAL ENGINEERING AND ANALYTICS

AI supports the processes of evaluation of medical data and images and of assessing a diagnosis already nowadays, and in the future, it may also affect many other areas that we are not even aware of yet. The aging of the population is another important point shaping the future of our healthcare system and leads to vast developments and increased use of assistive technologies.

With the main focus on these current trends, the master’s degree program in Medical Engineering and Analytics encompasses several lectures about deep learning and clinical data analysis, 3D printing and robotics, and Active and Assisted Living. Additional to theoretical input, hands-on training in specialized laboratories and work on projects represent other core elements of the program. Small groups, personal support and mentoring, and an open-door policy for all professors are our top priority.

Since internationalization is an important aspect of modern education, students are encouraged to go for an internship abroad and supported in joint projects with our research partners. Additionally, we also provide the possibility for Study & Work where we assist our students in getting a part-time job at one of our industrial partners.


Study guidance

Curriculum

PROFILE

The Master degree study program “Medical Engineering and Analytics” enables graduates to successfully face the challenges in the healthcare sector. Equipped with technical and medical knowledge they are sought-after by a wide variety of potential employers in the health care industry. The program also prepares them for upcoming social issues like Active and Assisted Living (AAL) and Instrumental Activities of daily Living (iADL), which become more and more important as we are moving towards an aging society.

Students benefit from practical trainings in dedicated laboratories and work there in small groups. Two areas of specialization allow them to further deepen their interests: Medical Engineering and Image Processing or Health Informatics can be chosen over the course of the degree program. Thanks to strong cooperation with the Health Care sector, the program is able to invite professionals and experts as guest lecturers.

Qualification requirements

The students of the School of Engineering & IT should demonstrate strengths in the following areas:

  • technical understanding,
  • reasoning power,
  • good English, mathematics and computer skills,
  • creativity,
  • enjoyment of innovative developments.

Key learning outcomes

Graduates of the master degree program Medical Engineering and Analytics are able to:

  • comprehend, analyze and remodel processes in medicine, nursing and Management,
  • develop and implement QM systems in healthcare,
  • retrieve their detailed knowledge of the conception, design and functionality of healthcare information systems in order to design such Systems,
  • describe the interaction of economics success, technology , processes and quality in healthcare,
  • plan and use indicators for the implementation of corporate guidelines in the areas of procurement, planning an d development,
  • present functioning, theoretical principles and technical implementation of medical devices,
  • list application possibilities of mobile systems in healthcare and analyze, conceptualize and design applications of such Systems,
  • design, implement and evaluate medical studies in cooperation with medic.

JOB & CAREER

The Master of Science “Medical Engineering and Analytics” degree program is designed to educate and train highly qualified specialists in the areas of new health technologies and data intelligence.

Graduates have a therefore a wide spectrum of excellent and exciting career opportunities in fields such as:

  • Research and Development
  • Hospital Information Technology
  • Software Development and Consulting
  • Active and Assisted Living
  • Biomedical Engineering / Medical Device Development
  • Medical Image Processing

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FH Kärnten (Klagenfurt - Primoschgasse)
Primoschgasse 10, 9020 Klagenfurt

Telefon: 05 90500-0 Website: www.fh-kaernten.at

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