Program Overview

Course Overview

The course CM2002, Artificial Intelligence within Biomedical Engineering and Health Systems, is a 7.5 credit course that explores the application of artificial intelligence in biomedical engineering and health systems.

Course Description

During this course, students will experience various aspects of current, emerging, and future healthcare challenges and trends. They will learn how to develop innovative technical solutions and recognize business opportunities. The course includes lectures, team collaboration, oral presentations, study visits, problem-based learning seminars, practical hands-on training, and collaborative project work.

Course Objectives

By the end of this course, students will have relevant knowledge on how new technologies can tackle future challenges in healthcare. They will appreciate the benefits, but also understand the barriers and risks associated with the implementation of innovative solutions.

Information per Course Offering

The course is offered in the autumn semester, with the following details:

• Course location: KTH Flemingsberg
• Duration: 26 Oct 2026 - 11 Jan 2027
• Periods: Autumn 2026: P2 (7.5 hp)
• Pace of study: 50%
• Application code: 10236
• Form of study: Normal Daytime
• Language of instruction: English

Course Syllabus

The course syllabus is available in an accessible format on the course page. It includes information on the course contents, intended learning outcomes, literature, and examination.

Content and Learning Outcomes

The course provides theoretical and practical knowledge regarding various aspects of healthcare challenges, demands, future of work, and business opportunities. The intended learning outcomes include:

• Knowledge of recent initiatives and interdisciplinary research in biomedical engineering and health systems
• Understanding of the differences and similarities between research methodology and overall innovation and entrepreneurship strategy of academic, industrial, healthcare, and government body stakeholders
• Knowledge of how new technologies can tackle future challenges in medical healthcare
• Basic theoretical and practical use of AI and entrepreneurship
• Understanding of the benefits, barriers, and risks of AI implementation

Literature and Preparations

The specific prerequisites for the course include:

• Completed degree project 15 ECTS
• 25 ECTS in mathematics
• 15 ECTS in physics
• 10 ECTS in programming
• 6 ECTS in electrical engineering
• Alternative: 2 years of work experience in healthcare in medical technology, data analysis, or at a research institute or regulatory institute
• English 6/B

Examination and Completion

The course is graded on a P/F scale, with a project examination (PRO1) worth 7.5 credits. The examiner may apply another examination format when re-examining individual students.

Further Information

The course is offered by the CBH/Biomedical Engineering and Health Systems department, with the main field of study being Medical Engineering. The education cycle is the second cycle.