Statistics Master
The following courses belong to the curriculum of the Master's Programme in Statistics. The corresponding credits do not count as external credits even for course units where an enrolment at ETH Zurich is not possible. |
Core Courses
In each subject area, the core courses offered are normally mathematical as well as application-oriented in content. For each subject area, only one of these is recognised for the Master degree. |
Regression |
Number | Title | Type | ECTS | Hours | Lecturers |
---|
401-3622-00L | Regression | W | 8 credits | 4G | |
401-3622-00 G | Regression
Does not take place this semester. planned to be offered in the Autumn Semester 2019 as a yearly recurring course with new course title: Statistical Modelling | | | 4 hrs | | not available |
|
Analysis of Variance and Design of Experiments
No offering in this semester yet |
Multivariate Statistics |
Number | Title | Type | ECTS | Hours | Lecturers |
---|
401-6102-00L | Multivariate Statistics | W | 4 credits | 2G | |
401-6102-00 G | Multivariate Statistics | | | 2 hrs | | N. Meinshausen |
401-0102-00L | Applied Multivariate Statistics | W | 5 credits | 2V + 1U | |
401-0102-00 V | Applied Multivariate Statistics | | | 2 hrs | | F. Sigrist |
401-0102-00 U | Applied Multivariate Statistics
The exercise class originally scheduled on Monday, 15 April will take place on Friday, 12 April, 11-13 in HG D 7.1. | | | 1 hrs | | F. Sigrist |
|
Time Series and Stochastic Processes |
Number | Title | Type | ECTS | Hours | Lecturers |
---|
401-6624-11L | Applied Time Series | W | 5 credits | 2V + 1U | |
401-6624-11 V | Applied Time Series | | | 2 hrs | | M. Dettling |
401-6624-11 U | Applied Time Series | | | 1 hrs | | M. Dettling |
|
Mathematical Statistics
No offering in this semester yet |
Specialization Areas and Electives |
Statistical and Mathematical Courses |
Number | Title | Type | ECTS | Hours | Lecturers |
---|
401-4632-15L | Causality | W | 4 credits | 2G | |
401-4632-15 G | Causality | | | 2 hrs | | C. Heinze-Deml |
401-3632-00L | Computational Statistics | W | 8 credits | 3V + 1U | |
401-3632-00 V | Computational Statistics
On 18 April 2019 the course takes place in HG E 3. | | | 3 hrs | | M. H. Maathuis |
401-3632-00 U | Computational Statistics
A "Präsenzstunde" directly following the exercises will be offered Friday 11-12 in HG F 3. | | | 1 hrs | | M. H. Maathuis |
401-3602-00L | Applied Stochastic Processes | W | 8 credits | 3V + 1U | |
401-3602-00 V | Applied Stochastic Processes | | | 3 hrs | | V. Tassion |
401-3602-00 U | Applied Stochastic Processes
Thu 9-10 or Thu 12-13 | | | 1 hrs | | V. Tassion |
401-3642-00L | Brownian Motion and Stochastic Calculus | W | 10 credits | 4V + 1U | |
401-3642-00 V | Brownian Motion and Stochastic Calculus | | | 4 hrs | | W. Werner |
401-3642-00 U | Brownian Motion and Stochastic Calculus
Fri 8-9, Fri 9-10 or Fri 12-13 depending on sufficient demand | | | 1 hrs | | W. Werner |
401-6228-00L | Programming with R for Reproducible Research | W | 1 credit | 1G | |
401-6228-00 G | Programming with R for Reproducible Research | | | 14s hrs | | M. Mächler |
401-4627-00L | Empirical Process Theory with Applications in Statistics and Machine Learning | W | 4 credits | 2V | |
401-4627-00 V | Empirical Process Theory with Applications in Statistics and Machine Learning | | | 2 hrs | | S. van de Geer |
401-3629-00L | Quantitative Risk Management | W | 4 credits | 2V + 1U | |
401-3629-00 V | Quantitative Risk Management | | | 2 hrs | | P. Cheridito |
401-3629-00 U | Quantitative Risk Management | | | 1 hrs | | P. Cheridito |
401-4658-00L | Computational Methods for Quantitative Finance: PDE Methods | W | 6 credits | 3V + 1U | |
401-4658-00 V | Computational Methods for Quantitative Finance: PDE Methods
Permission from lecturers required for all students.
| | | 3 hrs | | L. Herrmann,
K. Kirchner |
401-4658-00 U | Computational Methods for Quantitative Finance: PDE Methods | | | 1 hrs | | L. Herrmann,
K. Kirchner |
401-2284-00L | Measure and Integration | W | 6 credits | 3V + 2U | |
401-2284-00 V | Mass und Integral | | | 3 hrs | | J. Teichmann |
401-2284-00 U | Mass und Integral
Die Übungen finden Fr 10-12 statt. Als Ausweichtermin für Studierende, welche Elektrodynamik besuchen, ist Fr 14-16 vorgesehen. | | | 2 hrs | | J. Teichmann |
401-3903-11L | Geometric Integer Programming | W | 6 credits | 2V + 1U | |
401-3903-11 V | Geometric Integer Programming | | | 2 hrs | | R. Weismantel,
J. Paat,
M. Schlöter |
401-3903-11 U | Geometric Integer Programming | | | 1 hrs | | R. Weismantel,
J. Paat,
M. Schlöter |
401-4904-00L | Combinatorial Optimization | W | 6 credits | 2V + 1U | |
401-4904-00 V | Combinatorial Optimization
takes place in HG G 19.1 with the following exceptions: 21 February, 14 March and 21 March 2019 in HG D 1.2 | | | 2 hrs | | R. Zenklusen |
401-4904-00 U | Combinatorial Optimization
Starts in the second week of the semester. | | | 1 hrs | | R. Zenklusen |
261-5110-00L | Optimization for Data Science | W | 8 credits | 3V + 2U + 2A | |
261-5110-00 V | Optimization for Data Science | | | 3 hrs | | B. Gärtner,
D. Steurer |
261-5110-00 U | Optimization for Data Science | | | 2 hrs | | B. Gärtner,
D. Steurer |
261-5110-00 A | Optimization for Data Science | | | 2 hrs | | B. Gärtner,
D. Steurer |
252-0526-00L | Statistical Learning Theory | W | 7 credits | 3V + 2U + 1A | |
252-0526-00 V | Statistical Learning Theory | | | 3 hrs | | J. M. Buhmann |
252-0526-00 U | Statistical Learning Theory | | | 2 hrs | | J. M. Buhmann |
252-0526-00 A | Statistical Learning Theory | | | 1 hrs | | J. M. Buhmann |
636-0702-00L | Statistical Models in Computational Biology | W | 6 credits | 2V + 1U + 2A | |
636-0702-00 V | Statistical Models in Computational Biology
The lecture will be held either in Zurich or Basel and will be transmitted via videoconference to the second location. | | | 2 hrs | | N. Beerenwinkel |
636-0702-00 U | Statistical Models in Computational Biology
The tutorial will be held either in Zurich or Basel and will be transmitted via videoconference to the second location. | | | 1 hrs | | N. Beerenwinkel |
636-0702-00 A | Statistical Models in Computational Biology
Project work, no fixed presence required. | | | 2 hrs | | N. Beerenwinkel |
701-0104-00L | Statistical Modelling of Spatial Data | W | 3 credits | 2G | |
701-0104-00 G | Statistical Modelling of Spatial Data | | | 2 hrs | | A. J. Papritz |
401-6222-00L | Robust and Nonlinear Regression | W | 2 credits | 1V + 1U | |
401-6222-00 V | Robust and Nonlinear Regression

Does not take place this semester. | | | 12s hrs | | |
401-6222-00 U | Robust and Nonlinear Regression

Does not take place this semester. | | | 9s hrs | | |