Which elective modules should I choose for a career as an econ student ?

Hi everyone,

I’m an Economics student at the University of Bonn, currently in my 3rd semester. Soon, I’ll have to choose elective modules worth 90 ECTS. To be specific, I’m aiming for a career in finance — ideally in investment banking, asset management, consulting ,hedge funds / corporate advisory / private equity, or risk management. My dream goal would be a quantitative finance role. I know these fields are quite tough to break into (and maybe sound a bit delusional 😅), especially since my university doesn’t have a strong reputation in finance, and quant roles usually prefer a math background — but hey, everyone has a dream, right?. I’m also really interested in data science and AI-related jobs, since I plan to pursue a Master’s in Statistics later on.

So if possible, could you guys give me some insights about some of the modules below and maybe some recommendations ? . Thank very much.

If curious here is the module handbook my each module :https://www.econ.uni-bonn.de/de/studium/studienangebot/vwl/pruefungsordnung-2024/30d_course-catalogue-bsc-vwl_wiwi-po2024_wise2025_26_preedition_2025-08-29.pdf

each module worth of 6 etc

1: Quantitative Economics

• Macroeconomics II
• Mathematical Methods of Economics II
• Microeconomics II
• Econometrics

2: Economic Policy

• Data Analysis for Addressing Social Challenges
• Development Economics
• Finance and Social Policy
• Monetary Policy
• Industrial Economics
• International Economics
• Macroeconomics II
• Microeconomics II
• Econometrics
• Political Economy
• Environmental Economics
• Agricultural and Environmental Policy
• Consumer and Nutrition Policy

3: Corporate Management and Finance

• Bank Management
• Financial Markets and Institutions
• Advanced Corporate Finance
• International Banking Services
• International Accounting according to IFRS
• Cost Management and Cost Accounting
• Econometrics
• Economic Incentives and Institutions
• Organization & Management
• Personnel Economics
• Corporate Balance Sheets and Valuation
• Corporate Planning
• Behavioural Finance

4: Markets and Strategies

• Auctions and Markets
• Bounded Rationality
• Industrial Economics
• Information Economics
• Collective Decisions
• Mathematical Methods of Economics II
• Microeconomics II
• Economic Incentives and Institutions
• Organization & Management
• Political Economy
• Game Theory
• Contract Theory
• Agricultural and Food Markets
• Global Agricultural and Food Markets

5: Data Science

• Computer-Assisted Statistical Analysis
• Data Analysis for Addressing Social Challenges
• Advanced Econometrics
• Causal Inference
• Mathematical Methods of Economics II
• Multivariate Statistics
• Nonparametric Statistics
• Econometrics
• Stochastic Models

6: Economics and Law

• Data Analysis for Addressing Social Challenges
• Finance and Social Policy
• Industrial Economics
• Microeconomics II
• Organization & Management
• Game Theory
• Contract Theory
• Introduction to Civil Law
• Introduction to Public Law
• Corporate Law and Economics
• Antitrust Law (Competition Law and Economics)
• Law and Economics – Fundamentals
• Consumer Protection and Economics
• Civil Law and Economics

7: Behavioural Economics

• Bounded Rationality
• Data Analysis for Addressing Social Challenges
• Experimental Economic Research
• Causal Inference
• Econometrics
• Game Theory
• Behavioural Finance
• Behavioural Economics