CAS ETH in Data and Machine Learning
-
Autumn Semester 2024
Start -
14 weeks
Duration -
ETH ZurichLocation
-
English
Tuition language -
01–30.06.2024
Application period -
CHF 8,500
Programme fee
In brief: The CAS ETH in Data and Machine Learning
The programme provides a targeted education in IT, data science, and machine learning to managers who do not have prior formal education in computer science in order to advance their career.
Structure and content
Programme description
In the CAS ETH in Data and Machine Learning (CAS ETH DML) participants learn to apply key data science and machine learning concepts in industry settings with four study modules:
- Introduction to Programming: learn to code with regular one-on-one meetings for support.
- Information, Data & Computers: covers the core computing concepts that enable algorithms, data science and machine learning.
- Data Science and Machine Learning (ML): an end-to-end introduction to managing data for ML purposes and the primary techniques used in ML.
- AI and IT in Industry: uses case studies to show the practical implementations of ML, AI and digital technologies in industry.
Objectives
The goal of this programme is to improve the decision-making of managers by providing them with fundamental training in the areas of data management and machine learning that is applicable across many consumer-facing and service industries as well as multiple areas of the organisation.
Professional perspectives
Graduates of the CAS ETH DML are able to take on more challenging roles in interdisciplinary projects with significant data science and ML components. They also extend their existing management skills to include managing staff and projects involving the use of data science, algorithms and ML.
Structure and format
Participants complete 4 modules over 14 weeks.
Classes are generally conducted in either a block format or blended learning format. Study workload is approximately 300 hours, including lectures, study time and performance assessments.
Additional information
The CAS ETH DML can be followed as a stand-alone programme or as a part of the MAS in AI and Digital Technology (MAS ETH AID).
Limited number of participants: Admission is based on programme-specific admissions criteria.
Tuition language(s)
English
Credits
12 ECTS credits
Target group and admission
Target group
Managers with a non-computer science education and a minimum of five years of professional experience in a relevant industry. Target participants include managers working in finance, marketing, strategy and other non-technical departments.
Requirements
Master's degree acknowledged by ETH or an equivalent educational qualification plus relevant management experience after graduation.
Required language skills
English: B2 – external pageShow proficiency scales
Language(s) of performance assessment
English
Dates and venue
Start
Autumn Semester 2024
Duration
14 weeks
Application period
01–30.06.2024 (admission after the application deadline)
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
- Cancellation within 30 days after registration date and before the beginning of the programme: free of charge
- Cancellation more than 30 days after the admission date and before the beginning of the programme: CHF 3,500
- Cancellation after the beginning 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
- DownloadDeclaration of consent (PDF, 94 KB)
Additional application documents
- CV (Curriculum Vitae)
- Motivation letter
- Work certificates (if available)
Organiser
Programme management
Contact
Responsible body
ETH Zurich, Department of Information Science