Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

Search result: Course units in Spring Semester 2018

Data Science Master Information
Interdisciplinary Electives
401-8915-00LAdvanced Financial Economics (University of Zurich)
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: MFOEC206

Mind the enrolment deadlines at UZH:
W6 credits4GUniversity lecturers
636-0702-00LStatistical Models in Computational BiologyW6 credits2V + 1U + 2AN. Beerenwinkel
701-0412-00LClimate SystemsW3 credits2GR. Knutti, I. Medhaug
701-1216-00LNumerical Modelling of Weather and Climate Information W4 credits3GC. Schär, U. Lohmann
701-1226-00LInter-Annual Phenomena and Their Prediction Information W2 credits2GC. Appenzeller
701-1252-00LClimate Change Uncertainty and Risk: From Probabilistic Forecasts to Economics of Climate AdaptationW3 credits2V + 1UD. N. Bresch, R. Knutti
851-0252-06LIntroduction to Social Networks: Theory, Methods and Applications Restricted registration - show details
Number of participants limited to 40.

This course is intended for students interested in data analysis and with basic knowledge of inferential statistics.
W3 credits2GC. Stadtfeld, A. Vörös
Data Science Lab
This course unit will be given in HS18 for the first time according to programme regulations 2016 Data Science MSc.
263-3830-00LSoftware Defined Networking: The Data Centre Perspective Information W2 credits2ST. Roscoe, D. Wagenknecht-Dimitrova
263-3840-00LHardware Architectures for Machine Learning Information W2 credits2SG. Alonso, T. Hoefler, O. Mutlu, C. Zhang
401-3620-18LStudent Seminar in Statistics: Nonparametric Estimation under Shape-Constraints Restricted registration - show details
Number of participants limited to 22.

Mainly for students from the Mathematics Bachelor and Master Programmes who, in addition to the introductory course unit 401-2604-00L Probability and Statistics, have heard at least one core or elective course in statistics.
W4 credits2SF. Balabdaoui, P. L. Bühlmann, M. H. Maathuis, N. Meinshausen, S. van de Geer
GESS Science in Perspective
» Recommended Science in Perspective (Type B) for D-INFK
» see Science in Perspective: Type A: Enhancement of Reflection Capability
» see Science in Perspective: Language Courses ETH/UZH
851-0740-00LBig Data, Law, and Policy Restricted registration - show details
Number of participants limited to 35

Students will be informed by 4.3.2018 at the latest
W3 credits2SS. Bechtold, T. Roscoe, E. Vayena
Master's Thesis
261-0800-00LMaster's Thesis
The minimal prerequisites for the Master’s thesis registration are:
 Completed Bachelor’s program
 All additional requirements completed (additional requirements, if any, are listed in the admission decree)
 Minimum degree requirements fulfilled of the course categories Data Analysis and Data Management and overall 50 credits obtained in the course category Core Courses
 Data Science Lab (14 credits) completed
O30 credits64DProfessors
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