Master in Quantitative Economics and Finance (MiQE/F)
A rigorous Master’s programme combining econometrics, machine learning, and finance to tackle real-world economic challenges.
Best for:Best for students with a strong quantitative background seeking to specialise in econometrics, machine learning, and financial data analysis for careers in policy, finance, or business.
Overview
The Master in Quantitative Economics and Finance (MiQE/F) at Universität St. Gallen equips students with advanced analytical skills to address complex economic and financial questions using rigorous quantitative methods. The programme focuses on econometrics, machine learning, and data analysis to solve real-world problems such as climate change impacts on asset prices, tax policy effects, and digitalisation’s role in economic interactions. Small class sizes foster direct engagement with faculty and peer collaboration, preparing graduates for high-impact careers in policy, finance, and business. The curriculum blends theoretical foundations with hands-on training in big data analysis, ensuring graduates are well-prepared for ambitious professional paths.
What you'll do
- Develop advanced econometric and quantitative modelling skills to analyse complex economic and financial data.
- Apply machine learning techniques to solve real-world problems in economics and finance.
- Conduct rigorous research on topics such as climate change impacts, tax policy, and digitalisation’s economic effects.
- Collaborate in small-group settings to discuss and refine analyses with peers and faculty.
- Prepare for ambitious careers in economic policy, finance, or business through tailored professional development.
- Engage in hands-on data analysis using big data techniques and econometric software.
Requirements
Degree required: Bachelor’s degree in Economics, Finance, Mathematics, Statistics, or a related quantitative field.
Degree offered: Master of Arts HSG (M.A. HSG) in Quantitative Economics and Finance
Language: English; no specific proficiency test required (programme conducted entirely in English)
Instruction: English
- Strong quantitative and analytical skills
- Proficiency in econometrics and statistical methods
- Basic knowledge of programming (e.g., Python, R, or Stata)
- Familiarity with financial data analysis tools
- Ability to work with large datasets and big data techniques
- Open to international applicants
- No specific nationality restrictions
- No age restrictions
- No prior work experience required
Funding & terms
Programme and admissions
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How to apply
Deadline: 2024-04-30
Applicants must submit their application through the official programme portal. Required documents include a completed application form, academic transcripts, a CV, a letter of motivation, and proof of English proficiency if not a native speaker. Additional documents may be requested depending on prior education. The application process is handled online via the MiQE/F website.
- Completed application form
- Academic transcripts (Bachelor’s degree)
- CV (Curriculum Vitae)
- Letter of motivation
- Proof of English proficiency (if applicable)
- Passport-sized photograph
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.