This description is only available in English.

  • Autumn Semester

    Start
  • 10 months

    Duration
  • ETH Zurich
    Location
  • English
    Tuition language
  • 07.04–07.07.2025

    Application period

  • CHF 13,900

    Programme fee

In brief: The CAS ETH in Digital Clinical Trials

Participants will learn from ETH and international experts how to transform a research idea into a comprehensive clinical research approach utilising novel, digital technologies.

Structure and content

Programme description

The CAS ETH in Digital Clinical Trials (CAS ETH DCT) will guide participants through designing a digital clinical study. Participants will use their own or a given clinical research question to learn how modern study concepts, digital measures, precision medicine, AI applications, real-world data and digital health technology will add to a digital study design. By the end of the programme, participants will be ready to present a comprehensive study synopsis or project.

Objectives

  • To understand and apply fundamentals of digital clinical research
  • To understand the potential of novel, digital technology, e.g. digital measures, real-world data, digital health technology, precision medicine and AI to improve clinical research
  • To create a novel clinical research study utilising digital technology in the area of interest

Professional perspectives

The course will significantly increase the knowledge in and chances for a professional career in clinical research. Successful graduates will benefit from the know-how but also the international expert network for their work in this area.

Structure and format

The programme consists of live sessions (lectures/workshops/group work) on site and remotely, blended learning, an interactive fair, coaching sessions, and self-study content using a virtual learning environment.
The main teaching day will be Thursday, with a few exceptions and breaks during public holidays. Three 3-day block courses will be held on site (Wed-Fri) at the start of the programme in September, and in January and April.

Additional information

The CAS ETH in Digital Clinical Trials is organised in a modular way built on each other. The course consists of 6 modules:

  • The power of study design
  • Digital measures 
  • Precision medicine and AI
  • Real-world data (RWD)
  • Digital health technology
  • Digital study design

The course also includes individual coaching sessions to discuss specific course content and progress in study planning.

The CAS ETH in Digital Clinical Trials is a mandatory course of the comprehensive MAS ETH in Digital Clinical Research. 

Tuition language(s)

English

Credits

15 ECTS credits

Target group and admission

Target group

The CAS is designed for physicians, health care providers, and professionals in start-​ups, MedTech and pharma companies who want to specialize in clinical research utilising novel, digital technology.

Requirements

Master's degree acknowledged by ETH or equivalent educational qualifications in life science. At least two years of postgraduate work experience in a relevant field. Sufficient prior knowledge in statistics and Good Clinical Practice (GCP).

Required language skills

Language(s) of performance assessment

English

Dates and venue

Start

Autumn Semester 2025 (every year)

Duration

10 months

Application period

07.04–07.07.2025 (rolling admission)

Location

ETH Zurich

Fees

Programme fee

CHF 13,900

Application fee

CHF 50 for persons with a Swiss university degree, CHF 150 for persons with another university degree (non-​refundable, credit card payment only)

Withdrawal fee

  • Within 30 days after the admission date: free of charge
  • More than 30 days after the admission date: CHF 6,585
  • After the start of the programme: CHF 13,900

Application

Questions about the application

ETH Zurich, School for Continuing Education, HG E 17–18.5, Rämistrasse 101, 8092 Zurich, Tel. external page +41 44 632 56 59, E-mail

Application documents

Additional application documents

  • Good Clinical Practice (GCP) certificate(s)
  • Certificate(s) in statistics

Applicants who do not have prior knowledge in medical statistics and GCP will be admitted with conditions and must successfully complete the corresponding courses.

Organiser

Programme management

Professor Christian Wolfrum
Programme Director
Professor Christian Wolfrum
Dr Sabine Goldhahn
Programme Manager
Dr Sabine Goldhahn

Contact

Dr Sabine Goldhahn
  • +41 44 655 72 92

ETH Zurich
Institute of Food, Nutrition and Health
Schorenstrasse 16
SLA C 5
8603 Schwerzenbach

Responsible body

ETH Zurich, D-​HEST
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