Master of Science in Quantitative Decision Making in Economics and Management
Mainz, Germany
DURATION
4 Semesters
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
15 May 2025
EARLIEST START DATE
01 Oct 2025
TUITION FEES
EUR 350 / per semester *
STUDY FORMAT
On-Campus
* this organisational fee applies to all students - costs cover a ticket for public transport in the region and the student services. If you apply with international certificates, you will be informed in your letter of admission whether you are subject
Introduction
The aim of the Master’s program in Quantitative Decision Making in Economics and Management (QDEM) is to train students to acquire, understand and analyze data and to select appropriate analysis methods from a broad toolkit of up-to-date quantitative approaches. Students learn how to use the obtained results for decision-making in the context of economics and management.
Profound knowledge in the fields of decision-making and data analysis will provide our students with a new perspective on complex economic interactions and fulfil a rapidly growing demand for professionals with comprehensive analytical skills as well as competencies in economics and management.
All teaching and learning content is in English.
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Admissions
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Join us for an information event on the Master of Science program in Quantitative Decision Making in Economics and Management (QDEM)
Curriculum
The Master’s program in Quantitative Decision Making in Economics and Management is structured in three phases.
The core modules in the first semester (winter term, 30 ECTS) provide basic methodological skills in math, statistics, economic decision-making, operations research and programming. The first semester also offers an introduction to the three domains econometrics, management science & business intelligence and economic behavior & strategy.
Equipped with the foundations laid out in the core modules, students can choose 7 modules (42 ECTS) from a wide range of modules offered across the three domains in the specialization phase (semesters 2 and 3). Depending on interests, they can select modules from two or three domains or focus on one domain. It is also possible to select courses from related fields (Free Part). All students take part in the academic skills module (6 ECTS), which covers the foundations of academic research as well as training courses of personal skills. In two applied project seminars (12 ECTS), students apply their theoretical knowledge and obtain their first research experience.
The last semester is reserved for the master thesis (25 ECTS) and the research colloquium (5 ECTS), in which students participate in research seminars and present their own research findings.
1st Semester: Core Modules
- Mathematics/Statistics
- Programming
- Econometrics of Cross-Section and Panel Data
- Operations Research
- Economic Decision Making & Strategic Interaction
2nd & 3rd Semester: Specialisation
Econometrics
- Microeconometrics A
- Microeconometrics B
- Time Series
- Computational Statistics
- Analysis of Micro Data
- Data Governance
- Official Statistics and Survey Methods
- Mehrebenen/Panelanalyse
- Informations-/Datenschutzrecht
Management Science & Business Intelligence
- Intelligent Information Systems
- Data Analytics
- Database Systems/Information Systems
- Process Mining
- Standortplanung & Netzwerkdesign
- Transport Logistics I
- Transport Logistics II
- Revenue Management
Economic Behaviour & Strategy
- Advanced Digital Economics
- Behavioral & Experimental Economics
- Behavioral Measurement
- Behavioral Theory
- Corporate Finance Theory
- Inequality and Social Mobility
- Survey Methods/Subjective Beliefs
- Economics of Education
- Academic Skills, 2 Applied Project Seminars
- Free Part (further modules in Management, Accounting and Finance, Epidemiology, Sociology)
4th Semester: Thesis
- Master Thesis
- Master Colloquium
Please note that a small number of elective modules are held in German.