Master’s in Quantitative Economics and Finance (MiQE/F)
A rigorous programme blending economics, finance, and cutting-edge quantitative methods for data-driven careers in policy, finance, and academia.
Best for:Best for graduates with a strong quantitative background seeking to specialise in economics and finance, or economists/statisticians looking to expand into data-driven fields like machine learning and policy analysis.
Overview
The Master’s in Quantitative Economics and Finance (MiQE/F) at the University of St.Gallen offers a unique interdisciplinary curriculum combining deep expertise in economics and finance with advanced quantitative techniques. Students develop strong analytical skills in econometrics, machine learning, and big data, preparing them to tackle complex real-world challenges in policy, banking, consulting, and research. Small class sizes foster close collaboration with research-active faculty, while a focus on digitalisation ensures graduates are equipped for careers in the digital economy. The programme serves as a strong foundation for PhD studies or high-level roles in private and public sectors, bridging gaps between quantitative methods and domain-specific knowledge.
What you'll do
- Develop a deep understanding of economic and financial theories through rigorous coursework.
- Apply advanced quantitative methods, including econometrics, machine learning, and big data techniques, to solve real-world problems.
- Analyse complex datasets to derive actionable insights for policy, finance, and business.
- Engage in collaborative discussions and research projects with a research-oriented faculty in small class settings.
- Develop strong communication and management skills to effectively present findings and strategies.
- Prepare for advanced academic or professional careers by bridging quantitative and domain-specific knowledge.
Requirements
Degree required: Bachelor’s degree in Economics, Finance, Mathematics, Statistics, or a related quantitative field. Applicants with backgrounds in quantitative disciplines (e.g., Mathematics, Statistics) are encouraged to apply if they can demonstrate relevant coursework or experience in Economics or Finance.
Degree offered: Master of Arts (MA) in Economics or a related field
Language: English; proficiency at a level suitable for academic study (equivalent to C1 or higher)
Instruction: English
- Strong analytical and quantitative reasoning skills
- Proficiency in statistical software (e.g., R, Stata, Python)
- Basic understanding of economic theory and financial markets
- Ability to work with large datasets and apply machine learning techniques
- Excellent written and verbal communication skills in English
- No specific nationality restrictions
- No age restrictions
- No prior work experience requirements
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
- Not confirmed by the source
- Teaching language
- Not confirmed by the source
- Taught / research mode
- Not confirmed by the source
- Study mode
- Not confirmed by the source
- Campus
- Not confirmed by the source
- Prerequisites
- Not confirmed by the source
- Application instructions
- Not confirmed by the source
- Tuition
- Not confirmed by the source
- Funding
- Not confirmed by the source
How to apply
Deadline: 2027-04-30
Applicants must submit their application through the official University of St.Gallen portal. Required documents include a completed application form, a CV, academic transcripts, proof of English proficiency, a statement of purpose, and letters of recommendation. Additional documents may be requested depending on the applicant’s background.
- Completed application form
- Curriculum Vitae (CV)
- Academic transcripts (Bachelor’s degree)
- Proof of English proficiency (e.g., IELTS, TOEFL, or equivalent)
- Statement of purpose or research proposal
- Letters of recommendation (typically 2-3)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.