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The minor study program in Business Administration will open lots of doors for you: Knowledge of business administration will complement your chosen major and is in demand and of huge benefit in all kinds of careers and industries. For more information, please have a look here.
Students who are interested to participate in classes within the Minor in Marketing must ensure to fulfill the requirements for each class (in particular, with regards to the classes in the BMC bucket). If in doubt, please contact the lecturer of the specific course.
Below is an overview of courses offered in previous semesters.
Spring 2023
Bachelor:
Personal Branding Applications
Marketing Analytics
R - A non-technical introduction with applications to Marketing
Master:
R - A non-technical introduction to big data, team work and interactive visualization with applications to Marketing
Marketing Experiments
________________________________________________________
Fall 2022
Bachelor:
Personal Branding and Digital Marketing
Consumer Behavior in the Digital Age
Master:
Social Dynamics
Prototyping data science products
Python - A non-technical introduction with applications to Marketing
Digital Marketing Applications
Machine Learning - A non-technical introduction with applications to Marketing
________________________________________________________
Spring 2022
Bachelor:
R - A non-technical introduction with applications to Marketing
Marketing Analytics
Personal Branding Applications
Master:
R - A non-technical introduction to big data, team work and interactive visualization with applications to Marketing
Marketing Experiments
________________________________________________________
Fall 2021
Bachelor:
Personal Branding and Digital Marketing
Consumer Behavior in the Digital Age
Master:
Marketing for sustainable consumption
Machine Learning - A non-technical introduction with applications to Marketing
Python - A non-technical introduction with application to Marketing
Digital Marketing Applications
Network Science for Business, Economics, Informatics and Social Sciences
Prototyping data science products
Leveraging data to create business value - 11 UZH alumnis report how businesses do data-driven decision making
PhD Seminar guest lecture:
SHIFTing Consumer Behaviour to be More Sustainable
________________________________________________________
Spring 2021
Bachelor:
Marketing Analytics
R - A non technical Introduction with applications to Marketing
Personal Branding Applications
Master:
Marketing Experiments
R - A non-technical introduction to big data, team work and interactive visualization with applications to Marketing
Agent-based modeling seminar for Business, Economics and Social Science
How to use Deep Learning for Marketing?
________________________________________________________
Fall 2020
Bachelor:
R - a non-technical Introduction with applications to Marketing
Personal Branding and Digital Marketing
Consumer Behavior in the Digital Age
Master:
Machine Learning - A non-technical introduction with applications to Marketing
Python - A non-technical introduction with application to Marketing
Digital Marketing Applications
Network Science for Business, Economics, Informatics and Social Sciences
Advanced Marketing Mix Modeling
Prototyping data science products
________________________________________________________
Spring 2020
Bachelor:
Marketing Analytics
R - A non technical Introduction with applications to Marketing
Introduction to Economics of Blockchain
Marketing Mix Modeling
Deep Dive into Blockchain - Linking Economics, Technology and Law
Master:
Marketing Experiments
R - A non-technical introduction to big data, team work and interactive visualization with applications to Marketing
Agent-based modeling seminar for Business, Economics and Social Science
How to use Deep Learning for Marketing?
________________________________________________________
Fall 2019
Bachelor:
R - A non-technical Introduction with applications to Marketing
Personal Branding and Digital Marketing
Consumer Behavior in the Digital Age
Master:
Machine Learning - A non-technical introduction with applications to Marketing
Python - A non-technical introduction with application to Marketing
Social Media Marketing
Network Science for Business, Economics, Informatics and Social Scienes
Advanced Marketing Mix Modeling
________________________________________________________
Spring 2019
Bachelor:
Marketing Analytics
R - A non technical Introduction with applications to Marketing
Introduction to Economics of Blockchain
Marketing Mix Modeling
Master:
Marketing Experiments
Python - A non-technical Introduction to big data techniques, team work and interactive visualization with applications to Marketing
Agent-based modeling seminar for Business, Economics and Social Science
________________________________________________________
Fall 2018
Bachelor:
R - A non-technical Introduction with applications to Marketing
Personal Branding and Social Media
Consumer Behavior in the Digital Age
Master:
Machine Learning - A non-technical introduction with applications to Marketing
Python - A non-technical introduction with application to Marketing
Social Media Marketing
Network Analytics for Marketing and Business
________________________________________________________
Spring 2018
Bachelor:
Marketing Analytics
A non technical Introduction to R
Introduction to Economics of Blockchain
Master:
Advanced Marketing Mix Modeling
Marketing Experiments
R - A non-technical Introduction to big data techniques, team work and interactive visualization
Agent-based modeling for Business, Economics and Social Science Marketing Experiments
Guest Lecture Series: Demystifying the role of data science for marketing: What do you actually do in the sexiest Job of the 21st century?
________________________________________________________
Fall 2017
Bachelor:
Marketing-Mix-Modelling
A non-technical Introduction to R
Master:
Machine Learning - A non-technical introduction
Python - A non-technical introduction
Social Media Marketing
Network Theory and Analytics
________________________________________________________
Spring 2017
Bachelor:
Marketing Analytics I
Master:
Digital transformation - Why and how firms must adapt the way they do business
Discrete Choice Modeling in Marketing
R - A non-technical Introduction to big data techniques, team work and interactive visualization
Agent-based modelling for Business, Economics and Social Science
