High-Tech in Medicine

The Master degree study program ‘Health Care IT’ addresses two important components that will fundamentally and sustainably shape the future of the current health system. This is particularly the use of artificial intelligence, which can support the process of assessing a diagnosis and the evaluation of imaging data, and it may also affect many other sectors that we are not even thinking about at the moment. Another important point that will affect the current health system is the aging of the population as a result of demographic change.

Technical aspects of Health Care IT

This master degree program focuses on these technical aspects of Health Care IT, by providing a specific education in deep learning and clinical data analysis as well as in 3D printing and robotics. Active and Assisted Living is another core element of the program that enables students to face the future challenges of the aging society today. Additional to theoretical input, students receive hands-on training in specialized laboratories. Small groups, personal support and mentoring, and an open door policy for all professors is a 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.

Application deadline

For Winterterm 2021 the following Application Deadlines are opened:
 
I:    01.11.-15.03.2021
II:   16.03.-15.05.2021
III:  16.05.-15.07.2021
IV:  16.07.-30.09.2021

For applicants from outside Europe:
Due to visa and legalization processing we accept applications only from period I & II

Study start

The semester starts on 1st october

Teaching time

job friendly according to prior agreement

Events

Outdoor consultations
17.06.2021
15-19 h at the CUAS sites

Master-Session Online 
24.06.2021
16 - 19 h

Info Abend Online
01.07.2021
17 - 20 h 

Studien-Info-Lounge 
2. Tuesday per month via Videocall

Studienberatung
individuelle Terminvereinbarung unter 05905007700 oder infofh-kaerntenat

Further information

Language of instruction: English

Information

Contact

If you have any questions feel free to contact:

Head of Degree Program

 

 

Level of qualification
Master
ECTS credits
120
Tuition fees
€ 363.36 / semester
Qualification awarded
  • Master of Science in Engineering
Duration of study
4 semester
ÖH (Austrian Student Union) fee
€ 20.70 / semester
Language of instruction
Englisch
FH campus
  • Klagenfurt

General Study Information

 

 

 

 

 

 

 

 

Curriculum

Profile

The Master degree study program “Health Care IT” 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.

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.

Graduates of the master degree program Health Care IT 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.

Current courses - Health Care IT

LectureTypeSPPSECTS-CreditsCourse number
Advanced Programming Techniques in Health Care 1 ILV 1,5 2,5 M2.03100.10.021
Ambient Assisted Living 1 ILV 4,0 5,0 M2.03100.10.011
Clinical Engineering ILV 3,0 5,0 M2.03100.10.061
Embedded Medical Systems 1 ILV 1,5 2,5 M2.03100.10.031
Management of Health Care Institutions ILV 4,0 5,0 M2.03100.10.041
Mathematics for Medical Engineering SE 3,0 5,0 M2.03100.10.071
Visualization in Medicine ILV 3,0 5,0 M2.03100.10.051
LectureTypeSPPSECTS-CreditsCourse number
3D Reconstruction ILV 3,0 5,0 M2.03100.30.581
Academic Writing for Graduate Students SE 2,0 3,0 M2.03100.30.211
Medical Application PT 3,0 6,0 M2.03100.30.601
Robotics and Prosthetics in Medicine VO 3,0 5,0 M2.03100.30.591
Studies in Biomedical Engineering ILV 2,0 3,0 M2.03100.30.611
Specialization Area: Health InformaticsTypeSPPSECTS-CreditsCourse number
Development of Mobile Applications ILV 3,0 4,0 M2.03101.30.621
Specialization Area: Medical Engineering and Image ProcessingTypeSPPSECTS-CreditsCourse number
Advanced Medical Devices ILV 3,0 4,0 M2.03102.30.641
LectureTypeSPPSECTS-CreditsCourse number
Advanced Programming Techniques in Health Care 2 ILV 2,0 3,0 M2.03100.20.491
Ambient Assisted Living 2 ILV 3,0 4,0 M2.03100.20.481
Biophysiology and Neurosciences ILV 3,0 5,0 M2.03100.20.521
Embedded Medical Systems 2 ILV 2,0 3,0 M2.03100.20.501
Medical Statistics VO 3,0 5,0 M2.03100.20.511
Specialization Area: Health InformaticsTypeSPPSECTS-CreditsCourse number
Implementation Concepts for Health Systems ILV 3,0 5,0 M2.03101.20.541
Specialization Area: Medical Engineering and Image ProcessingTypeSPPSECTS-CreditsCourse number
Medical Engineering ILV 3,0 5,0 M2.03102.20.551
LectureTypeSPPSECTS-CreditsCourse number
Master Thesis Seminar HCIT SE 2,0 5,0 M2.03100.40.281
Master Thesis HCIT MT 0,0 25,0 M2.03100.40.291
LectureTypeSPPSECTS-CreditsCourse number
Academic Skills SE 3,0 5,0 M2.08860.10.061
Active Assisted Living 1 ILV 3,0 5,0 M2.03100.10.010
Applied Medical Signal Analysis ILV 3,0 5,0 M2.03100.10.030
Introduction to Machine Learning ILV 3,5 5,0 M2.08760.11.051
Project (I) - Prerequisites and Project Domains PA 3,0 5,0 M2.03100.10.060
Statistics ILV 3,5 5,0 M2.08760.11.021
LectureTypeSPPSECTS-CreditsCourse number
3D Reconstruction ILV 3,0 5,0 M2.03100.30.581
Academic Writing for Graduate Students SE 2,0 3,0 M2.03100.30.211
Medical Application PT 3,0 6,0 M2.03100.30.601
Robotics and Prosthetics in Medicine VO 3,0 5,0 M2.03100.30.591
Studies in Biomedical Engineering ILV 2,0 3,0 M2.03100.30.611
Specialization Area: Health InformaticsTypeSPPSECTS-CreditsCourse number
Development of Mobile Applications ILV 3,0 4,0 M2.03101.30.621
Selected Topics in IT Security ILV 3,0 4,0 M2.03101.30.631
Specialization Area: Medical Engineering and Image ProcessingTypeSPPSECTS-CreditsCourse number
Advanced Medical Devices ILV 3,0 4,0 M2.03102.30.641
Selected Topics in Medical Image Processing ILV 3,0 4,0 M2.03102.30.651
LectureTypeSPPSECTS-CreditsCourse number
Active Assisted Living 2 ILV 3,0 5,0 M2.03100.20.010
Applied Medical Image Analysis ILV 3,0 5,0 M2.03100.20.030
Artificial Neural Networks and Deep Learning (I) ILV 3,5 5,0 M2.08760.11.131
Augmented Visualization in Medicine ILV 3,0 5,0 M2.03100.20.040
Project (II) - Frameworks and Concept Study PA 3,0 5,0 M2.03100.20.060
Smart Medical Production and Robotics ILV 3,0 5,0 M2.03100.20.050
LectureTypeSPPSECTS-CreditsCourse number
Master Thesis Seminar HCIT SE 2,0 5,0 M2.03100.40.281
Master Thesis HCIT MT 0,0 25,0 M2.03100.40.291

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Job & Career

The Master of Science “Health Care IT” 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

The successful completion of the master program in turn qualifies the graduate to undertake a doctorate.

Career Profiles

Foto von Benjamin Eigl
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Alumniprofile Health Care IT

Dr. Benjamin Eigl

Der mit dem „MITAT Best Investigator Award“ ausgezeichnete Exilkärntner – er lebt aktuell in Bern – verbringt seine Freizeit gerne beim Sporteln und…

Foto Ivan Knezevic
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Alumniprofile Health Care IT

Dipl.-Ing. Ivan Knezevic, BSc.

Ivan Knezevic studierte Medizintechnik im Rahmen seines Bachelor Studiums an der FH Kärnten. 2016 schloss er das Masterstudium Health Care IT…

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Alumniprofile Health Care IT

Elena Oberrauner, BSc

Diagnosen und Behandlungen im medizinischen Kontext benötigen heutzutage bereits vielfältige technische Unterstützung zur Gewährleistung eines…

Photo Michael Allmayer
alt text
Alumniprofile Health Care IT

Dipl.-Ing. Michael Allmayer, BSc

IT-Systems-Engineer, KABEG

Statements


Faculty and Staff - Health Care IT

Program Director Medical Engineering

FH-Prof. Priv.-Doz. Dipl.-Ing. (FH)

 Günther Grabner, Ph.D.
Program Director Multimedia Technology

Dipl.-Ing.

 Jürgen Thierry
Professor of English
 Marvin Hoffland, MSc.
Professor of Data Science

FH-Prof. DI (FH) Dr. techn.

 Markus Prossegger
Professor of Computer Science

FH-Prof. Dipl.-Ing. Dr. techn.

 Dominik Rauner-Reithmayer
Professor of Medical Systems

Dipl.-Ing. Dr.

 Michael Seger-Candussi

Campus

Campus Klagenfurt – Primoschgasse

Primoschgasse 8-10 
9020 Klagenfurt am Wörthersee, Austria
+43 5 90500 3301
klagenfurtfh-kaerntenat

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