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In this subspecialisation, you will learn to understand and develop AI-based solutions for real-world problems in healthcare.
Artificial intelligence (AI) is permeating our day-to-day life. There is a high chance that you are already using AI to translate between languages, recognise objects in photos, or navigate to your destination. Globally, there are high expectations of what AI could mean for healthcare. For example, AI could assist clinicians in day-to-day decision-making, monitor patients after complex surgery, or make healthcare more accessible in developing countries.
Yet, with all this enthusiasm comes some healthy skepticism. Indeed, AI is often perceived as a black box, and when applied to healthcare, given its high-stakes nature, there are obvious ethical concerns about the fairness and explainability of AI methods. In the AI4Health subspecialisation, you will take a peek inside the black box and see how mathematics works at the core of this technology. You will gain a solid foundation in statistics, machine learning, and operations research, and learn how to leverage the potential of AI for high-stakes real-world applications in healthcare.
One unique aspect of this subspecialisation is that you will work on three or more healthcare-related case studies. These real-world case studies have been developed in collaboration with clinical partners in hospitals and demonstrate the versatility of AI applications in healthcare. You will put your theoretical understanding of the mathematics behind AI into practice. We challenge you to dive into domain-specific conditions and cross boundaries to disciplines like computer science and medicine.
During your Master’s in Applied Mathematics, you will collect a total of 120 EC within two years. The programme includes three compulsory courses forming the core of this Master’s, alongside additional courses within your chosen specialisation, such as Mathematics of Data Science (MDS). In the second year, you will typically complete an internship and your master’s thesis.
If you follow the AI4Health profile, the internship and master’s thesis are replaced by a practical assignment (10 EC) on a research topic and a 30 EC final project, which is always conducted at an external institution.
Compulsory courses for the Master's in AM
17 EC
Specialisation coursesFor the specialisation Mathematics of Data Science, track AI4Health, these advanced courses are mandatory.
26-30 E
Additional specialisation coursesIn addition to the mandatory specialisation courses, you must select two additional advanced courses.
10 EC
Elective coursesYou will fill up the rest of your first year with elective or mastermath courses, in agreement with the graduation supervisor, so the entire study programme adds up to at least 80 EC.
The study-programme must include at least one mastermath course, if Continuous Optimization is excluded from the study programme.
23 - 29 EC
Examples of elective courses offered at UT:
Examples of mastermath courses which are given in Utrecht:
Total EC first year
80 EC Coursework
Practical assignment
In the second year, you will do a practical assignment on a research topic.
Master's thesis
30 EC
In the final three quarters, you will work on your final project which is always executed at an external institution.
Total EC second year
40 EC final project
While there is a lot of buzz around AI, the big question is how AI can be safely and effectively used for healthcare applications. Answering this question requires experts who understand the mathematics of AI, consequently see its strengths and weaknesses for applications, and can communicate this with users. In this subspecialisation, you will get an in-depth knowledge of this versatile field. Our teaching staff collaborates with clinical partners in The Netherlands and abroad and companies in healthcare such as Siemens and Philips. This track will give you a solid foundation to contribute to this rapidly developing field. AI experts with a mathematical background are in high demand in academic hospitals and the strongly growing healthcare industry.
Instead of pursuing a professional career as a mathematical model expert right away after obtaining your master’s, you can opt to follow a PhD programme at Twente Graduate School (TGS). This involves spending four years studying a particular research area in-depth at one of our research institutes. Obtaining your PhD will earn you the title of Doctor (Dr).