CAS ETH in Applied Machine Learning & Information Processing
-
Autumn Semester
Start -
14 weeks
Duration -
ETH Zurich
Location -
EnglishTuition language
-
01.04–01.07.2025
Application period -
CHF 8,500
Programme fee
In brief: The CAS ETH in Applied Machine Learning & Information Processing
The programme provides participants with technical knowledge in processing information and data, as well as up to date insights in the advancement of Machine Learning (ML) technologies.
Structure and content
Programme description
The CAS ETH in Applied Machine Learning & Information Processing (CAS ETH AMI) offer executives and deci-sion makers with a non-technical education the opportunity to become technology-savvy in ML and its uses in information processing The participants discover developments in related technologies and can apply them accordingly.. Topics range from Python programming to computer vision, reinforcement learning, data science and the involved complex ethical and communication related issues.
Objectives
Participants gain a scientific understanding of developments in a broad range of topics related to ML/AI and information processing. Through examples of digitalisation use cases such as image recognition and algorithms, they gain confidence to engage with technology developments.. Furthermore, they can interact more effectively with technical experts on data, machine learning, AI topics using new strategic insights into technology.
Professional perspectives
Graduates of the CAS ETH AMI can take on more challenging leadership roles in defining the digitalisation strategies and directions in their organisations. They will be able lead interdisciplinary projects with significant information technology components more effectively. They also expand their technology and management skills to lead cross functional teams and product developments more effectively. The participants can target new career opportunities in fast growing industries.
Structure and format
Participants complete 6 modules over 14 weeks. Classes are generally conducted in either a block format or blended learning format. Studyload is approximately 300 hours, including lectures, study time and performance assessments.
Additional information
The CAS ETH in Applied Machine Learning & Information Processing is part the Master of Advanced Studies ETH in Applied Technology (MAS ETH AT).
Limited number of participants: Admission is based on programme-specific admissions criteria and/or the constitution of the respective group of applicants.
Tuition language(s)
English
Credits
Target group and admission
Target group
Business professionals and executives with a non-IT education and a minimum of two years of professional experience in a relevant industry. Target participants include managers working in finance, marketing, corporate strategy, corporate M&A and other non-technical departments.
Requirements
Required language skills
Englisch: B2 – external page Show proficiency scales
Language(s) of performance assessment
Dates and venue
Start
Duration
Application period
01.04–01.07.2025 (rolling admission)
Location
Fees
Programme fee
CHF 8,500
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 2,000
- After the start of the programme: CHF 8,500
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
- Diploma certificate and transcript (of records) of the highest or most relevant degree
- Passport or identity card
- Download Declaration of consent (PDF, 94 KB)
Additional application documents
- Letter of motivation
- CV
Organiser
Programme management
Contact
Responsible body
ETH Zurich, Department of Information Technology and Electrical Engineering (D-ITET)