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Master programme Quantitative Finance (E)

Contents and focus of the degree programme:

The master’ programme in Quantitative Finance teaches students the necessary knowledge and skills for using mathematical models for the exploration of topics relevant for economics and for applying them in economic research. Students will acquire special knowledge in the fields of financial theories and instruments, financial mathematics and elementary aspects of programming. Within the degree course students can specialise in an industry track or a science track. The courses are taught in English.

Higher education institution:
Wirtschaftsuniversität Wien
Group of fields of study:
Social and Economic Sciences
Degree programme:
Quantitative Finance (E)
Type:
Master programme
Academic degree:
Master of Science, MSc
Duration:
4 Semester / 120 ECTS*

Contact & Information materials:

Further information:

Languages of instruction:
English
Costs:
Student Union fee: EUR 19,20
tuition fee - ask at your institution Detailed information
Stay abroad:
Not compulsory
Type of higher education institution:
University
Location:
Wien
Curriculum:
published in the:
MBl. 2008/09, Stk. 14 (Nr. 97), i.d.F. Stk. 39 (Nr. 232), MBl. 2011/12, Stk. 39 (Nr. 239.8), Mbl. 2013/14, Stk. 19 (Nr. 122.2)

Definition of the field of studies

The degree programme in Quantitative Finance deals with the mathematical methods and theories of finance.

Exams

The master’ programme in Quantitative Finance consists of the compulsory subjects “Financial Markets and Instruments“, “Mathematics I“, “Statistics I“, “Mathematics II“, “Optimization“, “Computing“, “Statistics II“, “Econometrics“, “Probability“, “Microeconomics“, “Principles of Finance 2” and “Continuous Time Finance 1“ as well as a science and an industry track. The science track consists of the compulsory subjects “Financial Econometrics“, “Continuous Time Finance 2“, “Game Theory“, “Corporate Finance“, “Asset Pricing“, “Finance Paper Reading and Writing“ and “Finance Research Seminar“ and the elective subjects “Advanced Topics in Financial Econometrics“, “Advanced Topics in Financial Economics“, “Advanced Topics in Corporate Finance“, “Advanced Topics in Asset Pricing“, and “Advanced Topics in Computing“. The industry track includes the compulsory subjects “Financial Econometrics“, “Advanced Topics in Computing“, “Game Theory“, “Corporate Finance“, “Asset Pricing“ and “Industry Lab“ and the elective subjects “Advanced Topics in Financial Econometrics“, “Advanced Topics in Corporate Finance“, “Advanced Topics in Asset Pricing“, “Financial Engineering“, “Portfolio Management“ and “Risk Management“. At the end of the degree programme students have to write a master’s thesis.

Entrance examinations

no

Supplementary examinations

None