| B420 | Marketing-Mix Management | Prof. Dr. Dominik Papies | This course deepens core marketing concepts, focusing on the design, interaction, and international implementation of the marketing mix, including product, pricing, communication, distribution, and branding. | Winter |
| B421 | eBusiness | Prof. Dr. Dominik Papies | Students analyze the specific market conditions of electronic marketplaces and examine how digitization and e-commerce have transformed market structures. The course also focuses on the effective application of marketing-mix instruments in online environments. | Summer |
| DS400 | Data Science Project Management | Prof. Dr. Stefan Mayer | The course teaches end-to-end empirical data analysis, emphasizing large datasets, reproducibility, and implementation in both R and Python. | Winter |
| DS404 | Big Data Computing | Jakob Zgonc | Students learn how to tackle the computational challenges of working with large datasets and resource-intensive methods, offering practical solutions to address them. | Summer |
| DS405 | Machine Learning Applications in Business and Economics | Dr. Aseem Behl | The module examines selected machine learning methods and their applications in business and economics using real-world case studies. | Winter |
| DS407 | Practical Deep Learning for Language Processing | Dr. Aseem Behl | This course introduces deep learning and neural networks, emphasizing practical implementation in Python and applications for extracting business intelligence from text, with concepts applicable to other data types. | Winter |
| DS407 | Practical Deep Learning with Visual Data | Dr. Aseem Behl | Students gain an understanding of how neural network models work and how to implement modern deep learning architectures in Python using established frameworks. The module emphasizes practical applications that derive business intelligence from visual data, while also highlighting how the learned concepts extend to other data modalities such as tabular and textual data. | Summer |
| S430 | Econometric Essentials for Applied Empirical Research | Dr. Matthias Ritter | This practical course covers the core econometric methods (linear regression, logit, time series, and panel data) and equips students to conduct and interpret empirical research using real-world data. | Winter |
| S530 | Master Seminar in Agricultural Economics | Dr. Matthias Ritter | In this seminar, students conduct an advanced quantitative empirical research project in agricultural economics as part of their seminar paper and present their findings to a seminar audience. | Winter & summer |
| B520 | Master Seminar in Marketing and Data Science | Prof. Dr. Stefan Mayer | Students will learn how to successfully analyze advanced marketing and/or data science problems in a scientific thesis. Training of analytic and presentation skills will complement this class. Please note that this seminar has a strong quantitative focus and advanced programming skills are required! | Winter & summer |
| DS500 | Data Science Project | Prof. Dr. Stefan Mayer | Students conduct a full data science project in a team, covering all stages from data acquisition and analysis to presenting results. Please note that this course is only open to students enrolled in the Master's program Data Science in Business and Economics. | Winter & summer |
| ZB524 | Kolloquium zur Betreuung von Masterarbeiten | PD Dr. Adrienne Cansier | Im Rahmen der Masterarbeit im Bereich Marketing setzen Studierende ein eigenständiges Forschungsprojekt um, wenden relevante Konzepte und Methoden an und erhalten strukturierte Unterstützung, um die Arbeit erfolgreich abzuschließen. | Summer |
