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WU - Vienna University of Economics and Business Masters in Quantitative Finance
WU - Vienna University of Economics and Business

WU - Vienna University of Economics and Business

Masters in Quantitative Finance

MSc

4 semesters

English

Full time

On-Campus

* As a general rule, these tuition fees are compulsory for all students at all Austrian universities. However, tuition fees can be waived permanently or temporarily for certain groups of students under certain conditions: https://www.wu.ac.at/en/studen

Key Summary

    About : The Masters in Quantitative Finance offers a comprehensive education in financial theory and practice, emphasizing quantitative methods and their application in finance. This program is tailored for students seeking to deepen their understanding of financial concepts and enhance their analytical skills. The curriculum includes key topics such as risk management, portfolio optimization, and financial modeling, preparing students for challenges in a rapidly evolving financial landscape.
    Career Outcomes : Graduates can pursue a range of opportunities in finance, including roles such as financial analyst, quantitative researcher, and risk manager. Positions in investment banking, asset management, and financial consulting are also common, equipping students for success in various sectors of the financial industry.

The 4-semester MSc Quantitative Finance is a full-time program taught in English at Vienna University of Economics and Business Administration. The focus of the program is to build a solid knowledge base in finance with a special emphasis on understanding mathematical models and developing sufficient methological competence in computing, modern statistical data analysis and financial mathematics. Students acquire in-depth knowledge and skills in financial economics, microeconomics, mathematics, statistics and computing. Students also receive extensive training in the "R" programming language. The program focuses in particular on applications in asset management, finacial risk management and modern statistical data analysis.

Read more on the institution's website