Medical informatics lasts a total of two years (120 European Credits). It consists of courses of which the majority have a duration of 4 weeks and a study load of 6 EC. The common part of the programme consists of 10 courses and 2 multidisciplinary internships. The elective tracks comprise 3 of 4 courses, after which you carry out your scientific research project.
The curriculum is summarised below:
Study programme first year
The first semester of the Master’s programme focuses on medical data analysis (3 courses) and academic skills (in parallel with the other courses). The semester is concluded by a multidisciplinary internship. The second semester focuses on management of healthcare organizations (3 courses) and professional skills (in parallel with the other courses). This semester too is concluded by a multidisciplinary internship.
Study programme second year
Having obtained a strong basis during the first year of the Master's in Medical informatics, the second year allows you to tailor the programme to your own personal preferences and skills. We offer two elective tracks: AI for Health and Sustainable eHealth Solutions. As an alternative to these elective tracks, it is also possible to follow 18 EC worth of courses at other master programmes. Note that for students who started the master programme in February it is not possible to follow an elective track and still finish the master in two years; instead, you will have to follow courses at other master programmes (or accept a delay of 6 months).
Elective tracks second year
Elective track AI for Health
AI for Health builds on the medical data analysis courses in year 1. We study applications in healthcare of AI techniques such as deep learning, ontologies, reasoning, natural language processing, image processing and prediction models. This track is a collaboration with the AI masters of Universiteit van Amsterdam and Vrije Universiteit Amsterdam; hence, you will take classes together with students from the other two master's programmes
Elective track Sustainable eHealth Solutions
In this track we investigate the impact of eHealth solutions on their users (can patients and doctors use them?), the organizations (do departments benefit from them?) and climate (do they lead to lower emissions?). We use our eHealth lab to measure the effect of human factors on the usability of ehealth applications.
Electives at other master programmes
Choose from a wide range of elective courses such as Business Process Management, Bioinformatics, Internet Programming, Economics and Financing of Health Care Systems, The Social Web, Pandemic, Ethics and Politics of Surveillance and Privacy, Computational Biology.
Courses can be chosen at other UvA master programmmes or at master programmes of other universities.
Start your career smoothly by doing an internship of 5 EC in the first year, followed by an internship of around 42 EC in the second year.
This especially gives international students a unique opportunity to experience the Dutch Health ICT labor market. Students can choose from a range of internship positions offered by our contacts with Health ICT research institutes, businesses and other international universities such as those in the International Partnership of Health Informatics Education. The internship will be guided by an academic supervisor and must be finished with a scientific report.
You may choose to participate in an exchange semester to fulfill your master thesis work facilitated by another (international) university. Amsterdam UMC, location AMC, took the lead in establishing an international network of 10 partner universities, each offering unique opportunities for such an exchange semester.
These partner universities are:
USA: University of Minnesota, University of Utah, University of Washington
Canada: University of Victoria
Asia: University of Taiwan
Europe: University of Heidelberg/Heilbronn, University of Leipzig, University of Manchester, University of Tyrol, University of Braunschweig, University of Linkoping
Research methods in medicine and medical informaticsPeriod 15.5
Fundamentals of data science in medicinePeriod 16
Advanced data analysis in medicinePeriod 25.5
Data driven decision making and evaluation in medicinePeriod 25.5
Internship IPeriod 35
Scientific analysis and reportingPeriod 1Period 2Period 32.5
Biomedical information systems engineeringPeriod 45.5
Organizational settings and innovations for sustainable healthcarePeriod 45.5
Healthcare LogisticsPeriod 56
Healthcare managementPeriod 55.5
Management communicationsPeriod 4Period 5Period 62.5
Internship IIPeriod 63
Machine Learning and Deep Learning Brush-upPeriod 62
Scientific Research ProjectPeriod 3Period 4Period 5Period 642
Elective trackPeriod 1Period 2Period 318
For more detailed information regarding the curriculum and courses check the UvA Course Catalogue:
After successful completion of this programme, you will receive a legally and internationally accredited Master’s degree in Medical informatics and the title Master of Science (MSc).