Alumniprofile Health Care IT
Elena Oberrauner, BSc
Diagnosen und Behandlungen im medizinischen Kontext benötigen heutzutage bereits vielfältige technische Unterstützung zur Gewährleistung eines…
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.
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.
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.
Graduates of the master degree program Health Care IT are able to:
Lecture | Type | SPPS | ECTS-Credits | Course 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 |
Lecture | Type | SPPS | ECTS-Credits | Course 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 Informatics | Type | SPPS | ECTS-Credits | Course number |
Development of Mobile Applications | ILV | 3,0 | 4,0 | M2.03101.30.621 |
Specialization Area: Medical Engineering and Image Processing | Type | SPPS | ECTS-Credits | Course number |
Advanced Medical Devices | ILV | 3,0 | 4,0 | M2.03102.30.641 |
Lecture | Type | SPPS | ECTS-Credits | Course 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 Informatics | Type | SPPS | ECTS-Credits | Course number |
Implementation Concepts for Health Systems | ILV | 3,0 | 5,0 | M2.03101.20.541 |
Specialization Area: Medical Engineering and Image Processing | Type | SPPS | ECTS-Credits | Course number |
Medical Engineering | ILV | 3,0 | 5,0 | M2.03102.20.551 |
Lecture | Type | SPPS | ECTS-Credits | Course 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 |
Lecture | Type | SPPS | ECTS-Credits | Course 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 |
Lecture | Type | SPPS | ECTS-Credits | Course 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 Informatics | Type | SPPS | ECTS-Credits | Course 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 Processing | Type | SPPS | ECTS-Credits | Course 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 |
Lecture | Type | SPPS | ECTS-Credits | Course 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 Informatics | Type | SPPS | ECTS-Credits | Course number |
Implementation Concepts for Health Systems | ILV | 3,0 | 5,0 | M2.03101.20.541 |
Selected Topics in Medical Informatics | ILV | 3,0 | 5,0 | M2.03101.20.531 |
Specialization Area: Medical Engineering and Image Processing | Type | SPPS | ECTS-Credits | Course number |
Advanced Medical Image Processing | ILV | 3,0 | 5,0 | M2.03102.20.561 |
Medical Engineering | ILV | 3,0 | 5,0 | M2.03102.20.551 |
Lecture | Type | SPPS | ECTS-Credits | Course 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 |
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:
FH-Prof. Priv.-Doz. Dipl.-Ing. (FH)
Günther Grabner, Ph.D.Dipl.-Bw. (FH)
Bettina StrasserDipl.-Ing.
Jürgen ThierryFH-Prof. DI (FH) Dr. techn.
Markus ProsseggerFH-Prof. Dipl.-Ing. Dr. techn.
Dominik Rauner-ReithmayerDipl.-Ing. Dr.
Michael Seger-CandussiMag. Dr.
Florian FischmeisterDI Dr.
Gerhard GaubeDipl.-Ing. (FH) Dipl.-Ing.
Markus HaringMag. rer. soc. oec.
Michael JanzProf. D.Sc.
Roman Kamnik, B.Sc. M.Sc.Dr.
Michael LeitnerDipl.-Ing.
Günter Obiltschnigao.Univ.-Prof. DI Dr.
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