The global market for integrated medicine and engineering education is experiencing robust growth, projected at a compound annual growth rate (CAGR) of 8% from 2025 to 2033. This expansion is driven by several key factors. Firstly, the increasing demand for healthcare professionals skilled in both medical science and engineering principles is fueling the need for specialized programs. Advances in medical technology, such as robotics, AI, and bioprinting, require professionals with a holistic understanding of both engineering design and its biological applications. Furthermore, the integration of data science and informatics into healthcare necessitates professionals capable of managing and interpreting vast datasets for improved patient care and medical research. The growing aging population, coupled with a rising prevalence of chronic diseases, further intensifies the demand for such skilled individuals. The market is segmented by subject areas including biomedical engineering, health informatics, clinical engineering, and robotics in healthcare; and by course levels, encompassing undergraduate, graduate, and certificate programs. Major players are established universities globally, each with its unique strengths and competitive strategies, focusing on program innovation, industry partnerships, and attracting top faculty. Geographic distribution reveals strong market presence in North America and Europe, owing to established research infrastructure and well-funded educational institutions. However, the APAC region, particularly India and China, shows significant growth potential driven by rapid economic development and increased investment in healthcare infrastructure and education. The market's future growth hinges on sustained investment in research and development, industry-academia collaborations, and government initiatives promoting STEM education. Challenges include the high cost of specialized equipment and training, along with the need for standardized curriculum and accreditation across different regions and institutions. Ultimately, the market's trajectory reflects a critical need for a multidisciplinary approach to address evolving healthcare challenges, presenting substantial opportunities for educational institutions and technology providers alike.

This dataset is the result of a project to support policy making by providing insights on the availability and composition of education offer in four key digital domains: artificial intelligence, high performance computing, cybersecurity, and data science. Following a text mining methodology that captures the inclusion of advanced digital technologies in the programmes’ syllabus, we monitor the availability of masters’ programmes, bachelor’s programmes and short professional courses and study their characteristics. These include the scope or depth with which the digital content is taught (classified into broad or specialised), education fields in which digital technologies are embedded (e.g., Information and communication technologies, Business, administration and law), and the content areas covered by the programmes (e.g. robotics, machine learning). Also, we consider the overlap between the four domains, to identify complementarities and synergies in the academic offer of advanced digital technologies. The dataset covers yearly data, starting from the academic year 2019-2020 and ending in academic year 2023-24 (and will not be further updated). In order to provide comparison with other competing economies, the dataset covers the EU and its Member States plus six additional countries: the United Kingdom, Norway, Switzerland, Canada, the United States, and Australia. Results of the study have been used as reference in the European Artificial Intelligence Strategy, the White Paper on Artificial Intelligence – a European approach to excellence and trust, in the Stanford University’s Artificial Intelligence Index Report 2019 and 2021. These data have substantiated the assessment of the national Recovery and Resilience plans, and are used as input for the Digital Resilience Dashboard, among others.