DAS ETH in Data Science

 
Eidgenossische Technische Hochschule Zürich, ETHZ

LocationZürich, Zurich region, Switzerland
CategoryComputer Science
Mathematics
typeDAS

Diploma of Advanced Studies


DAS programmes aim to give greater depth or interdisciplinary breadth to an original academic qualification. They are aimed at university graduates who are working and wish to enhance their professional skills or specialise in a particular subject. They correspond to at least 30 ECTS credits and generally involve written project work or a thesis. They are organised in the form of block courses or courses on fixed days of the week and last one to two years.

Diploma of Advanced Studies

This description is only available in English.

Cluster


Technology, Management & Innovation

The DAS ETH in Data Science is a one-year, part-time programme for professionals to strengthen their skills in the management, analysis and utilisation of complex data sets in courses and a final project.

Programme structure

Programme description


The interdisciplinary programme conveys knowledge across the fields of mathematics, computer science and electrical engineering. This includes all levels of abstraction of technologies relevant to data science, from hardware and electronics, clusters and networks, through big data systems, to machine learning, algorithms and statistics. It also offers insights into political, societal, legal, ethical and privacy aspects of data science.

Objectives


The participants are taught how to under- stand and use complex data management (storage, querying, infrastructures, networks etc.) and analysis techniques (machine learning, statistics etc.) in order to utilise them in a broad range of applications.

Professional perspectives


Given the rapid growth of data and the need to analyse it, there is a critical skill shortage in the area of data science. Almost all sectors, including the public sector, need data scientists. Besides technical specialists, also executive staff members need a basic understanding of data science problems and opportunities for their organisations.

Programme structure


To complete the programme, a total amount of 35 to 45 ECTS has to be obtained, split over a foundations course (6 to 8 ECTS), a specialisation track (at least 12 ECTS), further courses to choose from a list, and a capstone project (8 ECTS).

Additional information


The DAS programme 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

    The students must apply for a starting semester in which the chosen foundations course is offered.

    Tuition languages


    English: 100 %

    Degree


    Diploma of Advanced Studies ’DAS ETH in Data Science’

    Credit points


    35-45 ECTS credits

    Target group and requirements

    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


    Master’s degree acknowledged by ETH in computer science, data science, mathematics, statistics, physics, mechanical engineering, electrical engineering or in a related field or equivalent educational qualifications; existing work experience.

    Required language skills


    English: C1 - Show proficiency scales

    Examination languages


    English

    Time and place

    Start


    Every Autumn and Spring Semester

    Duration


    1 year, part-time (1050 hours. The workload can be spread, on request, on up to two years)

    Application period


    01.01.-31.05. for Autumn Semester, 01.07.-31.10. for Spring Semester

    Location


    ETH Zurich

    Tuition fee


    CHF 12,000

    Deregistration fee


    From 30 days after admission: CHF 4,000

    Application

    Online-Application


    ?url=https%3A%2F%2Fsce.ethz.ch%2Fen%2Fapplication%2Fanmeldung.html&module=edu&id=1342" target="_blank" rel="nofollow">https://sce.ethz.ch/en/application/anmeldung.html

    Questions about the application


    ETH Zurich, School for Continuing Education, HG E 17-18.5, Rämistrasse 101, 8092 Zurich, Tel. 0041 (0)44 632 56 59 , info [a] sce[.]ethz[.]ch

    Application documents


    ?url=www.sce.ethz.ch%2Fen%2Fapplication%2Fapplication-documents-das-cas.html&module=edu&id=1342" target="_blank" rel="nofollow">www.sce.ethz.ch/en/application/application-documents-das-cas.html

    Additional application documents


    Besides the general application documents you need to 1) provide a complete study plan proposal that indicates the specialisation track and the courses you plan to take and when, as part of your application material. 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.

    Optionally, you can also
    3) submit a resume
    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


    Professor Joachim Buhmann, D-INFK (Programme Co-Director), Professor Helmut Bölcskei, D-ITET (Programme Co-Director), Professor Marloes H. Maathuis, D-MATH (Programme Co-Director) and Dr Ghislain Fourny (Programme Manager)

    Information


    ETH Zurich, Dr Ghislain Fourny, CAB E 75, Universitätstrasse 6, 8092 Zurich, Tel. 0041 (0)44 632 31 55 ,
    das-in-data-science [a] inf[.]ethz[.]ch

    Responsible body


    ETH Zurich, Department of Computer Science (D-INFK), Department of Mathematics (D-MATH), Department of Information Technology and Electrical Engineering (D-ITET), Swiss Data Science Center

    Website


    ?url=https%3A%2F%2Fwww.inf.ethz.ch%2Fcontinuing-education%2Fdas-datascience.html&module=edu&id=1342" target="_blank" rel="nofollow">https://www.inf.ethz.ch/continuing-education/das-datascience.html

    Subject(s)


    Computer Science
    Mathematics, Statistics
    Information Technology
    Information Technology

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