Master's Programme in AI, Human-Machine Interaction and Social Robotics Applied to Global Health, 120 credits

Start term: Autumn 2026 (open)

Are you interested in a career where you develop AI, computer science, and robotics to contribute to combating the health challenges of the future? This unique program combines cutting-edge expertise in artificial intelligence and robotics applied to global health to shape innovators who create ethical, human-centered solutions to global health challenges. Study at universities in different countries and graduate to transform at the intersection of technology, health and society.

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Specific entry requirements

A first-cycle degree of at least 180 credits, with computer science or engineering field as the main field of study, 30 credits in mathematics and 15 credits in programming, including data structures and algorithms. In addition, knowledge of English corresponding to the course "English 6" or "English level 2" from the Swedish Upper Secondary School is required.

Tuition fees

EU citizens

If you have citizenship in a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are NOT required to pay application or tuition fees.

Non - EU citizens

Tuition fee, first instalment: 68892 SEK

Total fee: 275568 SEK

The Master of Science Programme in Artificial Intelligence, Human-Machine Interaction, and Social Robotics Applied to Global Health is a two-year programme that equips you with the knowledge and tools to contribute to technical solutions to global health challenges. After completing the programme, you will be qualified to work as AI specialist in health data analysis or as a systems engineer in healthcare technology. As the programme includes courses in social robotics, you will also be able to work on developing interactive robots for clinical and home-based care or work as a researcher or developer in international public health initiatives that integrate AI and robotics.

Your studies will include courses in mathematics, ethics, machine learning and social robotics, among other things. The programme has a global health perspective and, as it is a joint programme between several European universities, you will also gain an international perspective on your education.

This programme is a joint master's between three European universities, which gives you international experiences and networking opportunities, and prepares you for an international career. During the second semester of the programme, you will go on an exchange to the University of Suceava in Romania and study courses in human-AI interaction. During the third semester, all students from the three different universities gather at Örebro University for a semester in social robotics, an area in which Örebro University has strong research, and where the researchers are your teachers. During the final semester, you will complete your degree project, either linked to a company or to one of the university's research projects. The degree project can be done at one of our partner universities for further international experience.

Programme syllabus Master's Programme in AI, Human-Machine Interaction and Social Robotics Applied to Global Health, 120 credits

The program is a multiple degree master's program between three Euorpean countries. The program is a two year master program and leads to a master's degree (120 credits). A multiple degree is offered together with University of Suceava in Romania, which means that you can receive a diploma both from Örebro and Suceava.

The first semester consists of courses in mathematics, ethics, scientific method, machine learning, AI and social robotics as well as computer science perspectives in global health at Örebro University.

The second semester will be studied at University of Suceava in Romania on the topic human-AI interaction.

The third semester, all students from all participating universities come to Örebro University for a joint semester focusing on social robotics.

The fourth semester you complete your degree project (master’s thesis) at one of the participating universities, which can be done in industry and other companies, or within a research project.

Specific entry requirements: A first-cycle degree of at least 180 credits, with computer science or engineering field as the main field of study, 30 credits in mathematics and 15 credits in programming, including data structures and algorithms. In addition, knowledge of English corresponding to the course "English 6" or "English level 2" from the Swedish Upper Secondary School is required.

First semester: Autumn semester 2026

Pace of study: Full Time

Level: Second Cycle

Study places: 5

Selection: Number of credits obtained no later than on the last application date

Study venue: Örebro

School: School of Science and Technology

Qualifications: Degree of Master of Arts/Science [120 credits]

Language of instruction: The language of instruction is English.

Head of programme: Johannes Andreas Stork

Application code ORU-M5602

The program's students will be qualified for roles as data and AI specialists for health data analysis, systems engineers in healthcare technology, not least with specialization in human-robot interaction (HRI), developers of socially interactive robots for clinical and home-based care, developers for the implementation of robotic solutions in healthcare organizations, or researchers or developers in international public health initiatives integrating AI and robotics.

You can contact our study advisors with questions regarding subjects, courses, programmes, and the labor market. For example, there may be questions about eligibility, admission scores, the content of the programs and courses, how you plan your studies, degree and more. Our study advisors can also provide information on credit transfer, study breaks and study interruptions. The study advisor is bound by professional secrecy regarding information.

Study Advisor: Lotta Elvin

Phone: +46 19 303000 (switchboard)

Email: studievagledning.nt@oru.se