DAS ETH in Data Science
This description is only available in English.
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Autumn and Spring Semester
Start -
1 year
Duration -
ETH ZurichLocation
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EnglishTuition language
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01–31.10.2024
01–30.04.2025
Application period -
CHF 12,000
Programme fee
In brief: The DAS ETH in Data Science
This one-year part-time programme is aimed at professionals seeking to strengthen their skills in management, analysis and utilisation of complex data sets.
Structure and content
Programme description
The interdisciplinary programme spanning the fields of mathematics, computer science and electrical engineering. This includes a range of relevant technologies, from hardware and electronics, clusters and networks, through to big data systems, machine learning, algorithms and statistics. The programme also offers insights into the political, social, legal, and ethical aspects of data science.
Objectives
The understanding and use of complex data management and analysis techniques in a broad range of practical applications. Topics include storage, querying, infrastructures, networks, machine learning, and statistics.
Professional perspectives
Given the rapid growth of data and the need for analysis, there is a critical skill shortage in the area of data science. Almost all sectors, including the public sector, need data scientists. Aside from technical specialists, executive staff also benefit from a basic understanding of data science, enabling them to identify problems and opportunities for their organisations.
Structure and format
To complete the programme, a total amount of 35 to 45 ECTS has to be obtained, split over a foundation course (6 to 8 ECTS), a specialisation track (at least 12 ECTS), further elective courses, and a capstone project (8 ECTS). The capstone project provides a valuable opportunity to put theoretical knowledge into practice on real data sets.
Additional information
The DAS contains foundations courses, flexibility of specialisation in advanced topics and a capstone project, which provides hands-on experience.
The following specialisation tracks are currently offered:
- Hardware for Machine Learning
- Image Analysis and Computer Vision
- Neural Information Processing
- Statistics
- Machine Learning and Artificial Intelligence
- Big Data Systems
Students must apply to start in a semester in which their chosen foundations course is offered.
Admission is based on programme-specific admissions criteria and/or the constitution of the respective group of applicants. There is a limited number of participants.
Tuition language(s)
English
Credits
Target group and admission
Target group
Professionals with a strong background in computer science or mathematics who wish to obtain an in-depth knowledge in data science. This includes engineers and executive staff members from the industry or the public sector who need in-depth knowledge in data science.
Requirements
Required language skills
English: C1 – external page Show proficiency scales
Language(s) of performance assessment
Dates and venue
Start
Duration
1 year, part-time (1050 hours. The workload can be spread, on request, on up to two years.)
Application period
01–31.10.2024 for Spring Semester 2025 (admission after the application deadline)
01–30.04.2025 for Autumn Semester 2025 (admission after the application deadline)
Location
Fees
Programme fee
CHF 12,000
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 4,000
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
1) complete Download study plan (DOCX, 50 KB) proposal that indicates the specialisation track. Ideally, a study plan should be designed over 2 semesters in order to keep a buffer of 2 more semesters in case of having to repeat an exam. A study plan over 3 semesters is also possible; exceptions beyond 3 semesters can only be made on request, in which case a motivation regarding this must be provided with your application.
2) fill all the information on the admissions form; in particular, be sure to write between 150 and 250 words regarding your motivation to attend this programme, as we are interested in learning more about your background and goals.
3) submit a resume
Optionally, you can also
4) submit references or reference letters
5) submit a language certificate (C1)
Incomplete applications may be rejected or processed at our own discretion. We reserve ourselves the right to postpone an application to the next possible semester if the chosen foundations course is not offered in the semester applied for.
Organiser
Programme management
Contact
ETH Zurich
Stampfenbachstrasse 114
STF H 311
8092
Zurich
ETH Zurich
Universitätstrasse 6
CAB F 64.1
8092
Zurich