Elective courses

DSF list of elective courses

For the elective courses of the DSF program, you can choose from the courses listed below.

Most courses offered in Spring 2017, 2018, 2019 / Fall 2017, 2018, 2019 will be offered in future again. But we cannot guarantee the course implementation in future.
New arising courses will be added.

Participants starting the DSF program in Fall 2020 can choose courses offered in Fall 2020 and later at their BA-level.

Participants starting the DSF program in Fall 2019 can choose courses offered in Fall 2019 and later at their BA-level.

Participants who started the DSF program in Fall 2018 can choose courses offered in Fall 2018 and later at their BA-level.

Participants of the DSF Workshop in Fall 2017 can choose courses offered in Fall 2017 and later at their BA-level.

Spring 20	4,125	Grundlagen und Methoden der Informatik für Wirtschaftswissenschaften (4 ECTS are accepted in DSF. For crediting send a request to the "Zulassungsstelle")
Spring 20	4,584	Basics of Cyber Security - from Save Passwords to Blockchains
Spring 20	4,586	The Business Economics of Digitalization
Spring 20	4,587	Strategic Leadership with Visual Analytics
Spring 20	4,721	Technologien/Technologies: Digital Business Ethics - Managing the Ethical Challenges of Modern Information Technologies
Spring 20	4,723	Technologien/Technologies: The Culture of Algorithms
Spring 20	4,795	Skills: Professionelle Entwicklung von Webapplikationen
Spring 20	6,102	Business Analytics and Data Science
Spring 20	6,134	Visual Literacy for Management
Spring 20	6,252	Stochastic Methods in Finance
Spring 20	6,270	Introduction to Time Series Modelling
Spring 20	6,274	Data Handling: Databases
Fall 19	3,125	Fundamentals and Methods of Computer Science for Business Studies (4 ECTS accepted in DSF. For crediting send a request to the "Zulassungsstelle")
Fall 19	3,230	Data Handling: Import, Cleaning and Visualisation
Fall 19	3,232	Fundamentals of Computer Science (no DSF-ECTS in combination with 3,125)
Fall 19	3,580	Workshop Fundamentals of Data Science
Fall 19	3,584	Mathematical Tools for Data Science
Fall 19	3,585	Monte Carlo and Quantitative Decision Support
Fall 19	3,586	Data Science and Cloud Solutions for Startups
Fall 19	3,587	Data Analytics in Finance
Fall 19	3,786	Skills: Professionelle Entwicklung von Webapplikationen
Fall 19	3,792	Skills: Programmierung in Python - Grundlagen, Web Scraping und Datenanalyse
Fall 19	3,794	Skills: Interpreting Statistical Data from Behavioural Research
Fall 19	3,799	An introduction to MATLAB
Fall 19	5,100	Betriebliche Kernsysteme: eBusiness und Business Transformation mit SAP
Fall 19	5,113	Informations- und Kommunikationstechnologie
Fall 19	5,127	Management in the Digital Economy
Fall 19	5,253	From Data to Decision
Spring 19	4,192	Service Design und Management
Spring 19	4,198	Visual Literacy for Management
Spring 19	4,252	Stochastic Methods in Finance
Spring 19	4,580	Multidisciplinary Perspectives on Data Sciences
Spring 19	4,584	Basics of Cyber Security - from Save Passwords to Blockchains
Spring 19	4,585	Business Analytics und Data Science Applications
Spring 19	4,586	The Business Economics of Digitalization
Spring 19	4.588	Applications in Object-oriented Programming and Databases
Spring 19	4,720	Technologien/Technologies: Digitale Transformation und Macht in Organisationen
Spring 19	4,721	Technologien/Technologies: Digital Business Ethics: Managing the Ethical Challenges of Modern Information Technologies
Spring 19	4,722	Technologien/Technologies: Digital Utopias: Infrastructures of the Start-up City Zurich
Spring 19	4,784	Skills: Data Visualization
Spring 19	4,787	Skills: Computergestützte Analysemethoden für Management, Wirtschaft und Finanzen
Spring 19	4,796	Skills: Introduction to Programming Methods
Spring 19	6,270	Introduction to Time Series Modelling
Spring 19	6,274	Data Handling: Databases
Fall 18	3,120	eBusiness und Business Transformation mit SAP
Fall 17, Fall 18	3,134	Internet und Social Media Start-ups
Fall 18	3,142	Informations- und Kommunikationstechnologie
Fall 17, Fall 18	3,148	Management in the Digital Economy - Enterprise 2.0 and Business 2.0
Fall 18	3,584	Mathematical Tools for Data Science
Fall 18	3,722	Das Selbst und die digitale Technologie
Fall 18	3,723	Künstliche Intelligenz: eine Einführung / Artificial Intelligence: an Introduction
Fall 18	3,796	Skills: Programming for Quantitative Analysis
Fall 18	3,799	An introduction to MATLAB
Fall 18	5,244	Data Handling: Import, Cleaning and Visualisation
Fall 17, Fall 18	5,250	Policy Evaluation: Methods and Applications
Spring 18	4,192	Service Design und Management
Spring 18	4,198	Visual Literacy for Management
Spring 18	4,252	Stochastic Methods in Finance
Spring 18	4,609	Digital Research and Communication
Spring 18	4,614	Einführung in die Programmierung mit Python
Spring 18	4,615	Computergestützte Analysemethoden für Management, Wirtschaft und Finanzen
Spring 18	4,616	Data Visualization
Spring 18	4,620	The Culture of Algorithms
Spring 18	4,657	Introduction to Programming Methods
Spring 18	4,694	Digital Business Ethics: Managing the Ethical Challenges of Modern Information Technologies
Spring 18	4,741	Robots and the End of Work
Spring 18	6,242	Basics of Cyber Security - from Save Passwords to Blockchains
Spring 18	6,248	Programming for Quantitative Economics
Spring 18	6,250	The Business Economics of Digitalization
Spring 18	6,264	Applications in Object-oriented Programming and Databases
Spring 18	6,270	Linear Time Series Analysis
Fall 17	3,605	Interpreting Statistical Data from Behavioural Research
Fall 17	3,607	An introduction to MATLAB
Fall 17	3,766	Distraction: Attention, Intelligence and Digital Media
Fall 17	5,272	An Introduction to Financial Econometrics