This module introduces essential computer science concepts and data science techniques designed to work in alignment with generative AI coding tools. It equips students with the knowledge and skills to determine when and how to use generative tools for computational methods in economics and data analysis. The course combines programming fundamentals with AI-supported workflows and does not require prior programming experience, although prior exposure may be helpful. It also covers advanced programming, visualization, and data management topics using AI-assisted practices. The course emphasizes the integration of generative AI into computational workflows for economics and data-driven problem solving. The teaching approach combines theoretical foundations with applied, tool-based learning activities.
- Evaluate when and how generative AI tools should be used for implementing, debugging, and communicating coding content, including assessing benefits, limitations, and risks
- Apply core programming concepts and practices in R to solve data-science problems using libraries relevant to data analysis, visualization, and statistical learning
- Utilize and interpret standard aggregation and visualization techniques to analyze economic data and communicate insights effectively
- Communicate technical data-science ideas clearly and concisely within team settings, collaborating to design, troubleshoot, and refine analytical workflows
- Expand and deepen their knowledge of the open-source R ecosystem by navigating, integrating, and adapting additional libraries and tools independently for future analytical tasks
This course is part of the prestigious part-time Goethe MBA Digital Transformation | Data Science | Sustainability, conducted in English on Fridays and Saturdays on Campus Westend. It offers a valuable opportunity to network and gain expertise without committing to a full degree program. Upon completion, participants receive a Certificate of Participation. This course may be credited towards the Certificate of Advanced Studies (CAS) in Data Science & AI when completed together with the other required courses within one academic year. As the number of seats is limited, we recommend to register early. If you're a GBS or Goethe University alum, explore our attractive alumni discount options.
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Pantelis Karapanagiotis, PhD
Prof. Dr. Pantelis Karapanagiotis is a Postdoctoral Researcher at the University of Groningen and an affiliate researcher at the Leibniz Institute SAFE. He received his PhD in Economics from Goethe University Frankfurt in 2021 and previously served as Assistant Professor of Microeconomics at EBS Business School. His research focuses on data science applications in decision-making, computational microeconomics, and industrial organization. He teaches data science, market economics, and game theory.
Candidates with an undergraduate degree (i.e., bachelor or equivalent) of 180 credit points (CP) based on the European Credit Transfer System (ECTS) can apply for our Open Programs. The allocation of credit points for work experience will appear on the Academic Transcript of Records and be titled ‘Prior Learning Assessment’.
Open Program applicants must submit a recent proof of English language proficiency at the higher B2 level per the Common European Framework of Reference (CEFR). The GBS Office of Admissions will accept test results of the following tests, taken no longer than two years ago upon the date of submission:
- TOEFL iBT®
- TOEFL iBT® Home Edition
- IELTS
- Cambridge Certificate of Proficiency in English
- English Language Level Test (ELLT) - Oxford International Digital Institute
Applicants may request a waiver of proof of proficiency in English in case one of the following conditions applies. The applicant
- is a native speaker of English;
- has graduated from an international baccalaureate program
- has completed their undergraduate or master-level studies in a program taught entirely in English;
- has worked in an English-speaking country for at least one year.
If the applicant has not taken any of the above tests when submitting the application, the applicant can upload a confirmation of the test registration to the online admissions portal.
Applicants who submit a language certificate older than two years but without an expiry date will be invited for an additional interview with a native speaker of English.
Proof of relevant post-undergraduate work experience of at least one year is to be submitted, e.g., a performance review, reference letter, or written confirmation from your employer.