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Overview
What you will study
The Artificial Intelligence within Biomedical Engineering and Health Systems course, provided by KTH Royal Institute of Technology, provides theoretical and practical knowledge regarding various aspects of healthcare challenges, demands, future of work and business opportunities.
Various activities include but not limited to lectures, team collaboration, oral presentations, study visits, problem based learning seminars, practical hands on training and collaborative project work.
After passing the course, the student should have knowledge of:
- Recent initiatives and interdisciplinary research in biomedical engineering and health systems at KTH and within other EIT partners
- Differences and similarities between research methodology and overall innovation and entrepreneurship strategy of academic, industrial, healthcare and government body stakeholders across Europe and worldwide
- How new technologies can tackle future challenges in medical healthcare
- Basic theoretical and practical use of AI and entrepreneurship
- Knowledge about the benefits, but also about the barriers and risks of AI implementation
- How to create contacts across the disciplines and nations
Programme Structure
The program focuses on:
- The course provides theoretical and practical knowledge regarding various aspects of healthcare challenges, demands, future of work and business opportunities.
- Lectures, team collaboration, oral presentations, study visits, problem based learning seminars, practical hands on experience and discussions within biomedical engineering, biophysics, bioimaging, proteomics, genomics, neuromics, biomedical simulations and diagnostics.
- Moreover the course will cover biodesign thinking, clinical need identification, basic theoretical and practical use of recent innovative technologies, patent vs publication strategy, legal, IP issues and entrepreneurship.
Key information
Duration
- Full-time
- 3 months
Start dates & application deadlines
- Starting
- Apply before
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Language
English
TOEFL® IBT 90
Credits
7 ECTS
Delivered
On Campus
Disciplines
Bio & Biomedical Engineering Health Informatics Artificial Intelligence View 14 other Short Courses in Artificial Intelligence in SwedenAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
TOEFL® IBT 90
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at KTH Royal Institute of Technology and/or in Sweden, please visit Student Insurance Portal.
Other requirements
General requirements
- Bachelor's degree in Medical Technology, Technical Physics, Electrical Engineering, Computer Science, or equivalent.
- Programming experience (6 credits).
- Alternative 2 years as healthcare professional working with medical technology, data analysis or at a research institute or regulatory institute.
- English B/6.
Tuition Fee
To always see correct tuition fees
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EU/EEA
FreeTuition FeeBased on the tuition of 0 SEK for the full programme during 3 months.
If you are an EU, EEA or Swiss citizen or hold a residence permit in Sweden for something other than studies you generally do not have to pay tuition fees.
Living costs for Stockholm
9668 - 17248 SEK /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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