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The Curriculum of the label is based on the Curriculum for the PhD program in Economic and Social Sciences (Studienplan PhD in Wirtschafts- und Sozialwissenschaften) from Oct 2019, referred to as "The Curriculum 2019". The general rules of the Curriculum 2019 apply, but some parts are specified further (see below).
After a student has successfully completed her/his PhD studies (including the specifications of the PhD label) WU issues a graduation certificate confirming the successful completion of the "PhD Program in Economic and Social Sciences in the Field of Mathematics in Economics and Business" and it awards the academic degree Doctor of Philosophy (PhD).
The program is fully taught in English.
Following the Curriculum 2019, the study program consists of:
Mandatory parts
Electives
Both are further specified within the label; in particular specific rules apply to the available electives to ensure that students are
Mandatory Courses are determind by the PhD Curriculum of WU (version 2019)
Overview Mandatory Courses
Module Curriculum
course in PhD Label
Module CurriculumWiss. Schreiben
course in PhD LabelScientific writing for Math in Econ and Business (coupled with external research seminar)
Module CurriculumResearch Seminar I
course in PhD LabelPhD Res Sem Math in Econ and Business (coupled with Brown Bag seminar)
Module CurriculumResearch Seminar II
course in PhD LabelPhD Res Sem Math in Econ and Business (coupled with Brown Bag seminar)
Module CurriculumFächerübergreifendes Res Sem
course in PhD Labelno further specification
Module CurriculumWahlfach I,II
course in PhD Labelno further specification
Module CurriculumDefensio Dissertationis
course in PhD Labelno further specification
Moreover, students have to submit a research proposal within the first year of the PhD. The proposal is graded by the supervisory team.
Electives
Formal requirements: Students have to take 7 electives (2 hrs/semester, 6 ECTS); to ensure sufficient broadness in the education, at least one elective needs to be taken from each of the following four fields:
Stochastic Processes and Financial Mathematics
Quantitative Methods for VGSF. Suitable for students without prior background in financial mathematics (offered annually in winter)
Selected Topics in Stochastic Calculus (eg. processes with jumps, stochastic control, stochastic filtering) (approximately every 2 years)
Advanced Topics in Financial Mathematics (eg. machine learning in finance, stochastic volatility models, systemic risk etc.) (approx. every 2 years), in WS 2019/20 Machine Learning in Finance by Christa Cuchiero
Statistics and Computing
Mathematical Statistics (approx. every 2 years, starting WS 2020/21)
Bayesian Econometrics I and II (annually, Part II is offered in WS 2019/20, Part I in SS 2020, both by Sylvia Frühwirth-Schnatter)
Computational Statistics (to be developed)
Analysis, Optimization and Operations Research
Foundations of Modern (Functional) Analysis (approx. every 2 years, in WS 2019/20 by Klaus Pötzelberger)
Convex Analysis and Applications (approx. every 2 years)
Courses on Operations Research etc. (in SS 2020 by Gerald Reiner and colleagues)
Further courses
Economics and Business
Here you can take any PhD course which is offered by an instructor who is not a PI of the label, for instance courses from finance, economics or production- and supply chain management.
Thesis and Defensio
Here you will find general information and guidelines for your PhD thesis.
General information
The thesis is the core part of the doctoral studies; it should contain original research contributions of the PhD candidate.
The thesis is graded by the doctoral committee (Doktoratskomitee). In general, at least one member of the doctoral committee must be international, i.e. working at a scientific institution outside Austria.
The thesis is defended before the doctoral committee. The defensio takes place after completion of the coursework according to the Curriculum 2019 and of the essential parts of the thesis.
It is possible to defend before submission or grading of the thesis.
Guidelines for a PhD thesis at the Institute for Statistics and Mathematics
The thesis must be written in English.
In general the thesis consists of at least three independent chapters together with a detailed introduction and a conclusion.
At least two of the chapters must be publishable in good international journals (according to the judgement of the doctoral committee).
Good international journals are in particular the journals on the journal list of the Institute for Statistics and Mathematics.
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