The workload for the master's degree programme in Medical Informatics amounts to 120 ECTS credits. This corresponds to a foreseen study duration of 4 semesters as a full-time programme. ECTS credits are a measure of students’ workload. One academic year comprises 60 ECTS credits, with one ECTS credit corresponding to 25 working hours, pursuant to § 54 (2) of the Austrian Universities Act.
The Master's Programme in Medical Informatics comprises a total of four semesters and 120 ECTS points.
A majority of these hours consists of mandatory and elective modules and the chosen core subject combination. In addition, the students dedicate themselves to their thesis, which also needs to be defended orally.
Dependent on availability and approval, students can complete projects instead of some of the courses required by the curriculum.
Programme Structure
Examination subjects with the assigned modules and courses
All modules marked with ‘*’ are elective, all others are mandatory modules.
Examination Subject „Foundations of Medical Informatics“ (30 ECTS)
Module „Advanced Software Engineering in the Biomedical Context“(6,0 ECTS)
3,0/2,0 VU Advanced Software Engineering in the Biomedical Context (MUW)
3,0/2,0 PR Advanced Software Engineering in the Biomedical Context (TUW)
Module „Biological Basis of Disease“ (6,0 ECTS)
3,0/2,0 VU Biological Basis of Disease, Part I: Anatomy and Histology (MUW) 3,0/2,0 VU Biological Basis of Disease, Part II: Physiology and Pathology (MUW)
Module „Introduction to Medical Data Science and Analytics“ (6,0 ECTS)
3,0/2,0 VU Statistical Basis of Medical Data Science (MUW)
3,0/2,0 VU Foundations of Medical Machine Learning (TUW)
Module „Introduction to Digital Health“ (6,0 ECTS)
3,0/2,0 VU Digital Health Foundation and Data Governance (MUW)
3,0/2,0 VU Human-Computer Interaction for Health and Wellbeing (TUW)
Module „Practice of Medicine“ (6,0 ECTS)
6,0/4,0 VU Practice of Medicine (MUW)
Examination Subject „Biological and Medical Principles“
Module „Bioinformatics“ (6,0 ECTS)
6,0/4,0 VU Bioinformatics (MUW)
Module „Computational Neuroscience“ (6,0 ECTS)
6,0/4,0 VU Computational Neuroscience (MUW)
Module „Introduction to Molecular Biology“ (6,0 ECTS)
3,0/2,0 VO Introduction to Molecular Biology, part 1 (MUW)
3,0/2,0 VO Introduction to Molecular Biology, part 2 (MUW)
Module „Introduction to Neuroscience“ (6,0 ECTS)
4,0/2,5 VO Introduction to Neuroscience (MUW)
2,0/1,5 SE Introduction to Neuroscience (MUW)
Module „Neuroinformatics“ (6,0 ECTS)
6,0/4,0 VU Neuroinformatics (MUW)
Module „Prosthetics and Control Theory“ (6,0 ECTS)
3,0/2,0 VU Prosthetics (MUW)
3,0/2,0 VU Control Theory in Medicine (MUW)
Examination Subject „Data, Policy, and Health Informatics“
Module „Advanced Database Systems“ (6,0 ECTS)
6,0/4,0 VU Advanced Database Systems (TUW)
Module „AI Ethics“ (6,0 ECTS)
6,0/4,0 VU AI Ethics (TUW)
Module „Data Stewardship“ (6,0 ECTS)
3,0/2,0 VO Data Stewardship (TUW)
3,0/2,0 UE Data Stewardship (TUW)
Module „Methodological Foundations of Public Health Informatics“ (6,0 ECTS)
3,0/2,0 VU Outcomes Research (MUW)
3,0/2,0 VU Epidemiology (MUW)
Module „Public Health Policy and Healthcare Management“ (6,0 ECTS)
3,0/2,0 VO Public Health Policy (MUW)
3,0/2,0 VO Health Care Management (MUW)
Module „Responsible Digital Ethics“ (6,0 ECTS)
6,0/4,0 VU Responsible Digital Ethics (TUW)
Module „Standardized Health Information Management“ (6,0 ECTS)
1,5/1,0 VU Standardized electronic health records modeling (MUW)
1,5/1,0 VU Standardized health information exchange and terminologies (MUW)
1,5/1,0 VU Standardized common data models for secondary use (MUW)
1,5/1,0 VO Medical image management standards (MUW)
Examination Subject „Machine Learning and Intelligent Health Systems“
Module „Advanced Machine Learning in Healthcare“ (6,0 ECTS)
3,0/2,0 VU Advanced Machine Learning in Healthcare: Part 1 (TUW)
3,0/2,0 VU Advanced Machine Learning in Healthcare: Part 2 (MUW)
Module „Medical Signal Processing and Imaging“ (6,0 ECTS)
3,0/2,0 VU Biosignal Processing (MUW)
3,0/2,0 VU Medical Imaging and Image Processing (MUW)
Module „Computer Vision“ (6,0 ECTS)
6,0/4,0 VU Computer Vision (TUW)
Module „Generative AI, General AI“ (6,0 ECTS)
6,0/4,0 VU Generative AI, General AI (MUW)
Module „Logic-based Artificial Intelligence“ (6,0 ECTS)
6,0/4,0 VU Logic-based Artificial Intelligence (TUW)
Module „ML in Medical Imaging and Precision Medicine“ (6,0 ECTS)
6,0/4,0 VU ML in Medical Imaging and Precision Medicine (MUW)
Module „Modeling and Simulation for Medical Informatics“ (6,0 ECTS)
3,0/2,0 VU Modeling and Simulation (TUW)
3,0/2,0 VU Modeling and Simulation in Health Technology Assessment (TUW)
Examination Subject „Human-Centered Technologies and Visualization in Healthcare“
Module „Artifact-based Design“ (6,0 ECTS)
6,0/4,0 VU Artifact-based Design (TUW)
Module „Assistive Technologies“ (6,0 ECTS)
6,0/4,0 VU Assistive Technologies (TUW)
Module „Human-Centered AI“ (6,0 ECTS)
6,0/4,0 VU Human-Centered AI (TUW)
Module „Information Visualization“ (6,0 ECTS)
6,0/4,0 VU Information Visualization (TUW)
Module „Medical Visualization and Visual Analytics“ (6,0 ECTS)
6,0/4,0 VU Medical Visualization and Visual Analytics (TUW)
Module „Virtual and Augmented Reality“ (6,0 ECTS)
6,0/4,0 VU Virtual and Augmented Reality(TUW)
Module „Wellbeing Technologies“ (6,0 ECTS)
6,0/4,0 VU Wellbeing Technologies (TUW)
Examination Subject „Free Electives“
Module „Freie Wahlfächer und Transferable Skills“ (9,0 ECTS)
Examination Subject „Seminar, Project, and Advanced Topics in Medical Informatics“
Module „Seminar in Medical Informatics“ (3,0 ECTS)
3,0/2,0 SE Seminar in Medical Informatics
Module „Project in Medical Informatics“ (6,0 ECTS)
6,0/4,0 PR Project in Medical Informatics
Module „Advanced Topics In Medical Informatics“ (min. 3,0 ECTS)
Examination Subject „Masterarbeit“
1,5/1,0 SE Thesis Seminar
27,0 ECTS Master Thesis
1,5 ECTS Final Examination before a Committee
Elective course list „Transferable Skills“
The courses to be selected in the module Free Electives and Transferable Skills from the subject area “Transferable Skills” may be chosen, among others, from the following catalogue.
3,0/2,0 SE Coaching als Führungsinstrument
1 3,0/2,0 SE Coaching als Führungsinstrument
2 3,0/2,0 SE Didaktik in der Informatik
1,5/1,0 VO EDV-Vertragsrecht
3,0/2,0 VO Einführung in die Wissenschaftstheorie I
3,0/2,0 VO Einführung in Technik und Gesellschaft
3,0/2,0 SE Folgenabschätzung von Informationstechnologien
3,0/2,0 VU Forschungsmethoden
3,0/2,0 VO Frauen in Naturwissenschaft und Technik
3,0/2,0 SE Gruppendynamik
3,0/2,0 VU Kommunikation und Moderation
3,0/2,0 SE Kommunikation und Rhetorik
1,5/1,0 SE Kommunikationstechnik
3,0/2,0 VU Kooperatives Arbeiten
3,0/2,0 VU Präsentation und Moderation
1,5/1,0 VO Präsentation, Moderation und Mediation
3,0/2,0 UE Präsentation, Moderation und Mediation
3,0/2,0 VU Präsentations- und Verhandlungstechnik
4,0/4,0 SE Privatissimum aus Fachdidaktik Informatik
3,0/2,0 VU Rhetorik, Körpersprache, Argumentationstraining
3,0/2,0 VU Softskills für TechnikerInnen
3,0/2,0 VU Techniksoziologie und Technikpsychologie
3,0/2,0 VO Theorie und Praxis der Gruppenarbeit
3,0/2,0 VO Zwischen Karriere und Barriere