Which degree should you study for a career in AI and healthcare?

What is data science?  

Data science uses scientific methods, processes, algorithms and systems to extract and extrapolate knowledge from data sets. This knowledge can then be used in the medical field. 

A data science degree will give you the ability to research and manage big data, using big data technology to strengthen management and analysis and improve organisational efficiency. In the healthcare industry, this will be used in everything from patient care to pharmaceuticals. 

How is it taught? 

At TMU, the MSc Data Science combines practical experience in information management with expertise in data analysis, operational management and big data industries. 

This involves studying a mix of core and optional modules, with a thesis at the end of the programme.  

Topics you might study in this programme include: 

• Statistical analysis and practice 
• Management strategy in big data analytics 
• Computational biology  
• Visualisation analysis and decision making  
• Hospital clinical data analysis 

How will it prepare you for a career in AI and healthcare? 

Data science is important in most aspects of healthcare, including medical imaging, drug discovery and predictive analysis. It can help improve health outcomes for patients and automate time-consuming administrative tasks. 

A data science degree will help you build the core competencies needed for a successful career in healthcare.  

These include:  

• Academic knowledge: Researching and managing big data. 
• Employment knowledge: Using big data technology to integrate management practices and improve organisational efficiency. 
• Value knowledge: Using big data technology to strengthen management and analysis. 
• Citizen’s knowledge: Enhancing your international perspective. 

Typical job roles for graduates in this field include data scientist, data analyst, data engineer and business analyst. 

What is it and what will you study?  

A degree in biotech and healthcare management will give you an overview of the capabilities of artificial intelligence, biotech management and healthcare management. 

The programme will help to build your research capabilities, improve your organisational effectiveness and your international perspective.  

How is it taught? 

At Taipei Medical University, the PhD in Biotech and Healthcare Management is taught by experts from various healthcare management disciplines, such as management, artificial intelligence, big data and informatics.  

Students will be partnered with clinical or industry experts who they can contact for career and course-related support and guidance. The programme also collaborates with renowned scholars and experts, from institutions such as Harvard University and Washington University.  

The PhD uses case studies to combine theory with practice in the biomedical industry to build up students’ creativity and problem-solving capabilities. 

Some of the topics you will cover in the degree include:  

• AI and data sciences  
• Research methods in biotech and healthcare management 
• Big data of smart healthcare 
• Biotech and medical industry strategy and decision analysis 
• Health policy management 

Students will also have access to the Observational Health Data Sciences and Informatics (OHDSI) which help students gain a greater understanding of cross-country analysis and applications of real-world data. 

How will it prepare you for a career in AI and healthcare? 

Taipei Medical University’s PhD in Biotech and Healthcare Management aims to nurture the next global leaders in both biotechnology and healthcare services.  

The PhD will teach you the interdisciplinary knowledge and capabilities of artificial intelligence, biotech management, and healthcare management. It will help to build your research capabilities and practical experiences and improve your organisational effectiveness.  

To help you form professional contacts, the programme has connections to the biotechnology industry, as well as government, education and research institutions.