Elective CAS
To earn the MAS ETH in digital Clinical Research, participants complete the two mandatory CAS programmes and one elective CAS. All elective CAS programmes can also be attended as stand-alone continuing education programmes.
CAS ETH in Regulatory Thinking
The CAS ETH in Regulatory Thinking is recognised as an elective CAS programme for the MAS ETH in digital Clinical Research and can also be attended as a stand-alone programme.
The programme translates regulatory requirements into robust decisions,
evidence and operational logic and makes transfer visible through concrete
working dossiers and a structured defence.
Participants learn to define scope and claims, design evidence pathways,
structure data and operational logic, implement AI governance in a traceable
way and defend decisions consistently in realistic stakeholder situations.
The CAS ETH RT is designed for professionals working at the interface of health, engineering, software and AI, from healthtech, medtech, diagnostics, SaMD, AI, regulatory, QA, product, engineering and clinical translation, as well as from ETH.
The next course starts end of January 2027 and runs for six months.
CAS ETH in Technology and Public Policy: Policy Process
This CAS programme is recognised as an elective CAS programme for the MAS ETH in digital Clinical Research and can also be attended as a stand-alone programme.
The CAS ETH in Technology and Public Policy (CAS ETH TPP): Policy Process degree equips participants with essential skills in public policy analysis by focusing on how to systematically analyse, design and manage policy-making processes. These skills complement their natural science or engineering backgrounds and enable them to thrive at the interface between technology and public policy.
The ETH programme combines general skills in policy analysis with opportunities to apply these skills to the policy issues that interest programme participants or to problems that are relevant in their professional settings (e.g., mobility, energy, public health, the digital space, urban planning, environment, sustainability, security).
The CAS ETH TPP: Policy Process degree is only offered in the spring semester of uneven years (e.g., 2027). It consists of three modules: (1) Technology, Society, Markets, and the State; (2) Public Sphere and Stakeholders in Policy-Making; (3) Communication and Negotiation. The modules take place between the end of January and the middle of June.
CAS ETH in Technology and Public Policy: Impact Analysis
This CAS programme is recognised as an elective CAS for the MAS ETH in Digital Clinical Research and can also be attended as a stand-alone programme.
The CAS ETH in Technology and Public Policy (CAS ETH TPP): Impact Analysis degree equips participants with essential skills in technology and public policy analysis. The primary focus lies on assessing technology-related policy options in terms of their expected and actual effects. These skills are essential to identify appropriate policy designs. These skills complement their natural science or engineering backgrounds and enable them to thrive at the interface between technology and public policy.
The ETH programme combines general skills in policy analysis with opportunities to apply these skills to each participant's set of technology-related knowledge and policy problems in their professional field (e.g., mobility, energy, public health, the digital space, urban planning, environment, sustainability, security).
The CAS ETH TPP: Impact Analysis degree is only offered in the spring semester of even years (e.g., 2028). It consists of three modules: (1) Economic Foundations for Policy Analysis; (2) Technology and Policy Analysis; (3) Policy-Making in Practice. Its modules take place between the end of January and the middle of June.
CAS ETH in Applied Statistical Data Science
The CAS ETH in Applied Statistical Data Science is recognised as an elective CAS for the MAS ETH in Digital Clinical Research and can also be attended as a stand-alone programme.
Statistics come into play when you need to do more than just observe individual cases. With the help of statistics, you can make informed, and therefore better, decisions regarding problems that relate to aggregates or mass phenomena or affect entire populations.
In clinical research, data forms the basis of evidence-based knowledge and of decisions that affect the well-being of patients. This data is obtained through measurements, observations and surveys. It is subject to uncertainties and random variability. Broadly speaking, the methods for analysing such data make up the subject of statistics.
The CAS ETH in Applied Statistical Data Science is aimed at professionals who are frequently confronted with statistical issues as part of their daily work, including scientific researchers, people who work in development departments and consulting firms, and those who hold corresponding positions in service and administrative companies. The CAS provides a practical introduction to the fundamentals of data analysis and to various modern methods, including machine learning.
The CAS ETH in Applied Statistical Data Science for your MAS ETH diCR programme offers:
- a hands-on introduction to both the basics of data analysis and modern methods, including machine learning
- direct application of the learned methods using the statistical software R
- practical sessions specially designed for the course
- compatibility with professional life; lectures are always held on the same day (Monday)
The CAS ETH in Applied Statistical Data Science is hosted at the ETH Department of Mathematics (D-MATH) and is held biannually. Some of the lectures and practical lessons are conducted in German. The next course will start in Spring Semester 2027.
CAS ETH in Entrepreneurial Leadership in Technology Ventures
The CAS ETH in Entrepreneurial Leadership in Technology Ventures (CAS ETH ELTV) is recognised as an elective CAS for the MAS ETH in Digital Clinical Research and can also be attended as a stand-alone programme.
The CAS ETH ELTV is designed to strengthen the entrepreneurial aspirations and venture leadership skills of its participants. In the programme, we provide custom-tailored coaching modules aimed at building participants’ leadership capacity and at supporting the transition of ideas toward scalable projects. The coaching is complemented by blended learning modules which offer the latest insights on how to establish successful strategies, build sustainable business models, structure funding, set- and scale up an effective team, and how to engage in entrepreneurial marketing and sales. Finally, an international study trip to a thriving entrepreneurial ecosystem broadens networks and allows for expanding on business ideas with stakeholders in the community.