066 395 Master programme Statistics – Probability – Mathematics in Economics

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2024W-2025S (2012U)

TitlePrecon.HoursECTS
Master programme Statistics – Probability – Mathematics in Economics
120.0
Prüfungsfach Foundations
Modul Foundations
nähere Bestimmungen siehe Studienplan
17.0
VO Topics in Analysis
2.03.0
UE Topics in Analysis
1.02.0
VO Funktionalanalysis 1
3.04.5
101.781 VO 2025S
Functional Analysis
3.04.5
UE Funktionalanalysis 1
1.02.0
101.341 UE 2025S
Functional Analysis 1 UE
1.02.0
VO AKANA Funktionalanalysis für WM/FAM
1.01.5
101.784 VO 2025S
Functional Analysis for WM/FAM
1.01.5
VO Stationary Process and Time Series Analysis
3.04.5
105.143 VO 2024W
Stationary Processes and Time Series Analysis
3.04.5
UE Stationary Process and Time Series Analysis
1.01.5
105.645 UE 2024W
Stationary Processes and Time Series Analysis
1.01.5
VO Theory of Stochastic Processes
Genauere Informationen entnehmen Sie bitte den Übergangsbestimmungen des Sondermitteilungsblatt vom 30.
Juni 2021.
3.04.5
105.746 VO 2025S
Theory of stochastic processes
3.04.5
UE Theory of Stochastic Processes
Genauere Informationen entnehmen Sie bitte den Übergangsbestimmungen des Sondermitteilungsblatt vom 30.
Juni 2021.
1.01.5
105.745 UE 2025S
Theory of stochastic processes
1.01.5
Prüfungsfach Statistics and Probability
Modul Statistics and Probability
verpflichtend im Schwerpunkt Statistics and Probability
19.0
VO Advanced Probability
3.04.5
107.A26 VO 2025S
Advanced Probabilty Theory
3.04.5
UE Advanced Probability
1.01.5
107.A27 UE 2025S
Advanced Probability Theory
1.01.5
VU Bayesian Statistics
3.05.0
VU General Regression Models
3.05.0
105.725 VU 2025S
General Regression Models
3.05.0
VO Mathematical Statistics
3.04.5
UE Mathematical Statistics
1.01.5
VO Multivariate Statistics
3.04.5
107.388 VO 2024W
Multivariate Statistics
3.04.5
UE Multivariate Statistics
1.01.5
107.391 UE 2024W
Multivariate Statistics
1.01.5
VU Statistical Simulation and Computerintensive Methods
2.03.0
107.330 VU 2024W
Statistical Simulation and Computerintensive Methods
2.03.0
Prüfungsfach Mathematics in Economics
Modul Mathematics in Economics
verpflichtend im Schwerpunkt Mathematics in Economics
24.0
VO Applied Operations Research
3.04.5
105.654 VO 2025S
Applied Operations Research
3.04.5
UE Applied Operations Research
1.01.5
105.655 UE 2025S
Applied Operations Research
1.01.5
VU Computational Economics
2.03.0
105.170 VU 2025S
AKVWL Computational Economics
2.03.0
VO Dynamic Macroeconomics
2.03.0
105.646 VO 2024W
Dynamic Macroeconomics
2.03.0
UE Dynamic Macroeconomics
1.01.5
105.647 UE 2024W
Dynamic Macroeconomics
1.01.5
VO Game Theory
2.03.0
105.649 VO 2024W
Game Theoretic Modelling
2.03.0
UE Game Theory
1.01.5
105.650 UE 2024W
Game Theoretic Modelling
1.01.5
VO Microeconometrics
3.04.0
105.126 VO 2025S
Microeconometrics
3.04.0
UE Microeconometrics
1.02.0
105.599 UE 2025S
Microeconometrics
1.02.0
VO Nonlinear Optimization
2.03.0
105.147 VO 2024W
Nonlinear Programming
2.03.0
UE Nonlinear Optimization
1.02.0
105.652 UE 2024W
Nonlinear Programming
1.02.0
VO Stochastic Control Theory in Financial and Actuarial Mathematics
2.03.0
UE Stochastic Control Theory in Financial and Actuarial Mathematics
1.01.5
Prüfungsfach Subject Specific Electives
Modul Subject Specific Electives
Weiters können beliebige LVAen aus folgenden Modulen gewählt werden: Mathematics in Econmics, Statistics and Probability, AKOR, AKOEK, AKVWL, AKSTA, AKWTH! Verpflichtend muss ein Seminar aus AKSTA oder AKWTH gewählt werden.
20.0
VU Advanced Methods for Regression and Classification
3.04.5
105.707 VU 2024W
Advanced Methods for Regression and Classification
3.04.5
VU Data-intensive Computing
2.03.0
VU Econometrics 2
2.03.0
105.600 VU 2025S
Econometrics 2
2.03.0
VU Machine Learning
3.04.5
184.702 VU 2025S
Machine Learning
3.04.5
184.702 VU 2024W
Machine Learning
3.04.5
VO Stochastic Analysis in Financial and Actuarial Mathematics 1
3.05.0
105.653 VO 2024W
Stochastic analysis in financial and actuarial mathematics 1
3.05.0
UE Stochastic Analysis in Financial and Actuarial Mathematics 1
1.02.0
105.089 UE 2024W
Stochastic analysis in financial and actuarial mathematics 1
1.02.0
VO Stochastic Analysis in Financial and Actuarial Mathematics 2
2.04.0
105.091 VO 2025S
Stochastic analysis in financial and actuarial mathematics 2
2.04.0
UE Stochastic Analysis in Financial and Actuarial Mathematics 2
1.02.0
105.092 UE 2025S
Stochastic analysis in financial and actuarial mathematics 2
1.02.0
Prüfungsfach Data Science Electives
nähere Bestimmungen siehe Studienplan
Modul Data Science Electives
Weiters können beliebige LVAen aus folgenden Modulen gewählt werden: AKOR, AKOEK, AKVWL, AKSTA, AKWTH
15.0
VO Analyse von Algorithmen
3.04.5
104.345 VO 2024W
Analysis of Algorithms
3.04.5
UE Analyse von Algorithmen
1.01.5
104.347 UE 2024W
Analysis of Algorithms
1.01.5
VO Cognitive Foundations of Visualization
3.0
VU Data-intensive Computing
2.03.0
VU Data-oriented Programming Paradigms
2.03.0
188.995 VU 2024W
Data-oriented Programming Paradigms
2.03.0
VU Datenbanksysteme STEOP
Courses belong to the introductory and orientation phase ("Studieneingangs- und Orientierungsphase")
Es kann nur Datenbanksysteme oder Advanced Database Systems absolviert werden.
4.06.0
VU Deep Learning for Visual Computing
2.03.0
VU Experiment Design for Data Science
2.03.0
188.992 VU 2024W
Experiment Design for Data Science
2.03.0
VO Information Visualization
2.03.0
188.305 VO 2024W
Information Visualization
2.03.0
UE Information Visualization
1.01.5
188.308 UE 2024W
Information Visualization
1.01.5
VU Machine Learning
3.04.5
184.702 VU 2025S
Machine Learning
3.04.5
184.702 VU 2024W
Machine Learning
3.04.5
VU Theoretical Foundations and Research Topics in Machine Learning
2.03.0
194.100 VU 2024W
Theoretical Foundations and Research Topics in Machine Learning
2.03.0
Prüfungsfach Freie Wahlfächer
mindestens 4.5 ECTS fachübergreifend (Soft Skills)
9.0
Catalog Elective Courses - Technical Mathematics
Transferable Skills
Prüfungsfach Diplomarbeit mit Diplomprüfung
30.0
Thesis Diplomarbeit
27.0
Final exam Kommissionelle Abschlussprüfung
3.0
Responsible dean of academic affairs
For questions regarding the curriculum please contact the responsible dean of academic affairs.

Legend

Courses belong to the introductory and orientation phase ("Studieneingangs- und Orientierungsphase")
Courses belong to the introductory interview ("Studieneingangsgespräch")
Courses require the completion of the introductory and orientation phase
Courses require the completion of the introductory interview STEG