Info
Level | Master |
---|---|
Language | English |
Duration | 1 years |
Type | Fulltime |
Credits | 60 EC |
Faculty | School of Business and Economics |
The Master's programme in Econometrics and Operations Research is an academic programme that consists of two tracks: Econometrics and Operations Research. Directly from the start of the master you choose one of these tracks. Each track contains several specializations, as well as an “open specializations”, with a more broader focus on either econometrics or operations research.
The track Econometrics focuses on developments in theory, methodology and application of econometric and statistical methods for the analysis of financial, marketing and economic data, nowadays often Big Data. Econometrics connects to many academic disciplines including mathematics, statistics, computer science, economics, finance, and business studies, and is primarily concerned with the science and art of using statistics, data science and econometric methods for the analysis of economic/finance/marketing data. Specializations within the Econometrics trace are Econometric Theory, Econometrics and Data Science, Financial Econometrics, Marketing Data Science, and Quantitative Economics.
The track Operations Research focuses on the development and application of quantitative methods for analyzing economic issues. Operations Research connects to many academic disciplines including mathematics, computer science, finance and business studies, and is concerned with optimizing strategic and operational business processes that can be found in, for example, transport networks, stock management, and advanced decision support systems. Specializations within the Operations Research track are Financial Engineering, Operations Research Theory, and Supply Chain Management.
For talented and ambitious students, we offer the Master students the extra opportunity of a MSc Honours Programme in which you can broaden and deepen your knowledge on state-of-the-art methods.
Description
the active research field of econometrics. We offer an in-depth study
into the foundations of econometric methods that will offer you the
challenge to explore and master an active research field and will place
you first in any academic or professional career. Econometrics connects
to many academic disciplines including mathematics, statistics,
economics, finance, and business studies. Each year we attract around 75
students from which 50% are international students. We offer a high-
quality and challenging teaching program with excellent teachers. The
job perspectives of Econometrics students are excellent in all times.
Description
specializations Econometric Theory, Financial Econometrics, Marketing
Data Science and Quantitative Economics.
Course Name | Period | Credits | Code |
---|---|---|---|
Thesis MSc EOR - Econometrics | Ac. Year (sept) | 18EC | E_EORM_THSTR |
Advanced Econometrics | P1 | 6EC | E_EORM_AECTR |
Multivariate Econometrics | P2 | 6EC | E_EORM_MVE |
Time Series Models | P4 | 6EC | E_EORM_TSM |
Description
Econometrics Theory.
Course Name | Period | Credits | Code |
---|---|---|---|
Econometrics Research | P3+4 | 6EC | E_EORM_ECR |
Description
econometric methods used on a daily basis in the financial industry that
will let you become the quantitative financial specialist and that will
place you at the forefront of a successful professional career.
Financial Econometrics connects different academic disciplines including
mathematics, statistics, finance, and business studies, and is primarily
concerned with the use of financial economic theory and statistical
techniques to support financial decision and policy making through the
analysis of financial and economic data sets. The econometric methods
can be used to analyse financial risk, investment strategies, financial
economic policy, monetary policy, high-frequency trading, capital
markets, financial stability, and many other topics. A programme that
will enhance your analytical skills, will invest in your quantitative
insights, will learn you how to design and apply econometric methods in
a finance context, how to analyse financial data, how to use statistical
tools for financial questions of relevance, how to approach big data
problems, how to interpret quantitative results, how to present the
results of an econometric analysis, how to deduct conclusions and to
make financial decisions from a quantitative analysis. Each year we
attract around 75 students from which 50% are international students. We
offer a high-quality and challenging teaching program with excellent
teachers. The job perspectives of Financial Econometrics students are
excellent in all times.
Description
specializations Econometric Theory, Financial Econometrics, Marketing
Data Science and Quantitative Economics.
Course Name | Period | Credits | Code |
---|---|---|---|
Thesis MSc EOR - Econometrics | Ac. Year (sept) | 18EC | E_EORM_THSTR |
Advanced Econometrics | P1 | 6EC | E_EORM_AECTR |
Multivariate Econometrics | P2 | 6EC | E_EORM_MVE |
Time Series Models | P4 | 6EC | E_EORM_TSM |
Description
Financial Econometrics.
Course Name | Period | Credits | Code |
---|---|---|---|
Financial Econometrics Case Study | P3 | 6EC | E_EORM_FECS |
Description
data science methods for the analysis of marketing data to facilitate
better marketing strategies. The Marketing Data Science study let you
become the quantitative marketing specialist and place you at the
forefront of a successful professional career. We connect many academic
disciplines including mathematics, statistics, economics, and marketing.
This study is primarily concerned with the use of microeconomics,
consumer behaviour and statistical techniques to analyse data sets with
multiple hierarchies such as product, brand, location, distribution,
etc. The econometric methods are used to analyse volume shares,
advertising effects, sale strategies, consumer behaviour, brand loyalty
schemes, TV and social media advertising, and many other topics. This
study will enhance your analytical skills, will invest in your
quantitative insights, will learn you how to analyse marketing data, how
to use statistical tools for market, advertising and product-life
questions of relevance, how to approach big data problems, how to
interpret quantitative results, how to present the results of an
econometric analysis, how to deduct conclusions and to make marketing
decisions from a quantitative analysis. Each year we attract around 75
students from which 50% are international students. We offer a high-
quality and challenging teaching program with excellent teachers. The
job perspectives of Marketing Data Science students are excellent in all
times.
Description
specializations Econometric Theory, Financial Econometrics, Marketing
Data Science and Quantitative Economics.
Course Name | Period | Credits | Code |
---|---|---|---|
Thesis MSc EOR - Econometrics | Ac. Year (sept) | 18EC | E_EORM_THSTR |
Advanced Econometrics | P1 | 6EC | E_EORM_AECTR |
Multivariate Econometrics | P2 | 6EC | E_EORM_MVE |
Time Series Models | P4 | 6EC | E_EORM_TSM |
Description
Marketing Data Science.
Course Name | Period | Credits | Code |
---|---|---|---|
Marketing Data Case | P3 | 6EC | E_EORM_MDC |
Course Name | Period | Credits | Code |
---|---|---|---|
Large Scale Data Engineering | P1 | 6EC | X_405116 |
Marketing Strategy | P1 | 6EC | E_MKT_MSTRAT |
Web Data Processing Systems | P2 | 6EC | XM_40020 |
Branding and Advertising | P4 | 6EC | E_MKT_BA |
Description
applied econometrics and economics and offers the student the challenge
to explore the active research fields of microeconomics, macroeconomics
and/or macro-finance. Quantitative Economics connects many academic
disciplines including mathematics, statistics, economics, finance, and
business studies, and is primarily concerned with using economic theory
and statistical techniques to analyse economic data. This specialization
offers you the chance to explore the intersection of economics and
econometrics. This study will enhance your analytical skills, will
invest in your quantitative insights, will introduce you to a scientific
approach of analytical thinking and will generally broaden your
quantitative horizons. It will teach you how to analyse and model
economic data, how to carry out statistical hypothesis tests, how to
investigate theoretical properties of estimators and predictors, how to
design an empirical study, how to interpret quantitative results, how to
present the results of an econometric analysis, how to deduct
conclusions and policy advice from a quantitative analysis. Each year we
attract around 75 students from which 50% are international students. We
offer a high-quality and challenging teaching program with excellent
teachers. The job perspectives of Quantitative Economics students are
excellent in all times.
Description
specializations Econometric Theory, Financial Econometrics, Marketing
Data Science and Quantitative Economics.
Course Name | Period | Credits | Code |
---|---|---|---|
Thesis MSc EOR - Econometrics | Ac. Year (sept) | 18EC | E_EORM_THSTR |
Advanced Econometrics | P1 | 6EC | E_EORM_AECTR |
Multivariate Econometrics | P2 | 6EC | E_EORM_MVE |
Time Series Models | P4 | 6EC | E_EORM_TSM |
Course Name | Period | Credits | Code |
---|---|---|---|
Advanced Microeconomics | P1 | 6EC | E_EC_AMIEC |
Advanced Macroeconomics | P2 | 6EC | E_EC_AMAEC |
Research Project Economics | P3 | 6EC | E_EC_RPEC |
Description
obligatory.
Course Name | Period | Credits | Code |
---|---|---|---|
Thesis MSc EOR - Econometrics | Ac. Year (sept) | 18EC | E_EORM_THSTR |
Advanced Econometrics | P1 | 6EC | E_EORM_AECTR |
Multivariate Econometrics | P2 | 6EC | E_EORM_MVE |
Time Series Models | P4 | 6EC | E_EORM_TSM |
Course Name | Period | Credits | Code |
---|---|---|---|
Financial Econometrics Case Study | P3 | 6EC | E_EORM_FECS |
Marketing Data Case | P3 | 6EC | E_EORM_MDC |
Econometrics Research | P3+4 | 6EC | E_EORM_ECR |
Description
financial engineering and computational finance. Next to the 4 core
Operations Research courses, you take at least 2 courses from the
Duisenberg Honours Programme Quantitative Risk Management.
Description
specializations Financial Engeneering, Operations Research Theory, and
Supply Chain Management.
Course Name | Period | Credits | Code |
---|---|---|---|
Evolutionary Computing | P1 | 6EC | X_400111 |
Large Scale Data Engineering | P1 | 6EC | X_405116 |
Web Data Processing Systems | P2 | 6EC | XM_40020 |
Data Mining Techniques | P5 | 6EC | X_400108 |
Course Name | Period | Credits | Code |
---|---|---|---|
Distributed Algorithms | P5 | 6EC | X_400211 |
Course Name | Period | Credits | Code |
---|---|---|---|
Advanced Econometrics | P1 | 6EC | E_EORM_AECTR |
Course Name | Period | Credits | Code |
---|---|---|---|
Transport Economics and Management | P1 | 6EC | E_BA_TEM |
Network Analysis | P2 | 6EC | E_BA_NA |
Airline Business | P4 | 6EC | E_BA_AIRB |
Applied Research Methods | P4 | 3EC | E_BA_ARM |
Supply Chain Lab | P4 | 6EC | E_BA_SCL |
Operations Performance Benchmarking | P5 | 6EC | E_BA_OPB |
Description
research area and eventually, through the thesis, participate in front-
line research in Operationns Research. Next to the 4 core Operations
Research courses, you select at least 2 6ects-courses from the program
offered by the Dutch Network on the Mathematics of Operations Research
(LNMB, Landelijk Netwerk Mathematische Besliskunde). The LNMB-courses
are taught by the best researchers in Operations Resarch from all over
the Netherlands in centrally located Utrecht.
Description
specializations Financial Engeneering, Operations Research Theory, and
Supply Chain Management.
Description
information about LNMB, see
http://www.lnmb.nl/pages/courses/mastercourses.
Choose courses from this list:
- Continuous Optimization (Period 1+2, 6.0 EC)
- Discrete Optimization (Period 1+2, 6.0 EC)
- Heuristic Methods in Operations Research (Period 1+2, 6.0 EC)
- Advanced Linear Programming (Period 4+5, 6.0 EC)
- Queueing Theory (Period 4+5, 6.0 EC)
- Scheduling (Period 4+5, 6.0 EC)
Course Name | Period | Credits | Code |
---|---|---|---|
Evolutionary Computing | P1 | 6EC | X_400111 |
Large Scale Data Engineering | P1 | 6EC | X_405116 |
Web Data Processing Systems | P2 | 6EC | XM_40020 |
Data Mining Techniques | P5 | 6EC | X_400108 |
Course Name | Period | Credits | Code |
---|---|---|---|
Distributed Algorithms | P5 | 6EC | X_400211 |
Course Name | Period | Credits | Code |
---|---|---|---|
Advanced Econometrics | P1 | 6EC | E_EORM_AECTR |
Course Name | Period | Credits | Code |
---|---|---|---|
Transport Economics and Management | P1 | 6EC | E_BA_TEM |
Network Analysis | P2 | 6EC | E_BA_NA |
Airline Business | P4 | 6EC | E_BA_AIRB |
Applied Research Methods | P4 | 3EC | E_BA_ARM |
Supply Chain Lab | P4 | 6EC | E_BA_SCL |
Operations Performance Benchmarking | P5 | 6EC | E_BA_OPB |
Description
the language of optimization theory. The field continues providing
Operations Research with new and challenging research questions and
remains one of the major areas for the job market of our program’s
graduates.Next to the 4 core Operations Research courses, you take at
least 2 courses from the Master Program Transportation and Supply Chain
Management.
Description
specializations Financial Engeneering, Operations Research Theory, and
Supply Chain Management.
Course Name | Period | Credits | Code |
---|---|---|---|
Geographic Information Systems | P2 | 6EC | E_STR_GIS |
Transport Economics | P2 | 6EC | E_STR_TREC |
Operations and Supply Chain Management | P3 | 6EC | E_BA_OSCM |
Course Name | Period | Credits | Code |
---|---|---|---|
Evolutionary Computing | P1 | 6EC | X_400111 |
Large Scale Data Engineering | P1 | 6EC | X_405116 |
Web Data Processing Systems | P2 | 6EC | XM_40020 |
Data Mining Techniques | P5 | 6EC | X_400108 |
Course Name | Period | Credits | Code |
---|---|---|---|
Distributed Algorithms | P5 | 6EC | X_400211 |
Course Name | Period | Credits | Code |
---|---|---|---|
Advanced Econometrics | P1 | 6EC | E_EORM_AECTR |
Course Name | Period | Credits | Code |
---|---|---|---|
Transport Economics and Management | P1 | 6EC | E_BA_TEM |
Network Analysis | P2 | 6EC | E_BA_NA |
Airline Business | P4 | 6EC | E_BA_AIRB |
Applied Research Methods | P4 | 3EC | E_BA_ARM |
Supply Chain Lab | P4 | 6EC | E_BA_SCL |
Operations Performance Benchmarking | P5 | 6EC | E_BA_OPB |
Description
obligatory.
Description
extra opportunity to distinguish themselves with the MSc Honours
Programme Operations Research. This Honours Programme allows master’s
students to broaden and deepen their knowledge on state-of-the-art
operations research techniques.
The programme has a study load of 18 EC and consists of two master’s
courses from the program of the LNMB (6 EC per course) and the 'OR
research seminar' (6 EC) organized by the OR-group of the department of
Econometrics and Operations Research at VU University. The LNMB provides
a great variety of high-level courses on deterministic and stochastic
operations research. Students can choose LNMB master’s courses
according to their interest. The OR research seminar will run from
September to April. Form and contents of the OR research seminar will
depend on the students interests and ambitions. The aim of this seminar
is to train students to write a PhD grant proposal enabling them to
continue their studies as a PhD.
The honours programme is successfully completed if the student has
finished the master’s programme within one year and, in addition, has
successfully finished all courses of the honours programme. The
successful completion of the honours programme will be recorded in the
Diploma Supplement.
Description
information about LNMB, see
http://www.lnmb.nl/pages/courses/mastercourses.
Choose courses from this list:
- Introdcution to Stochastic Processes (Period 1, 4.0 EC)
- Continuous Optimization (Period 1+2, 6.0 EC)
- Discrete Optimization (Period 1+2, 6.0 EC)
- Heuristic Methods in Operations Research (Period 1+2, 6.0 EC)
- Scheduling (Period 4+5, 6.0 EC)
- Advanced Linear Programming (Period 4+5, 6.0 EC)
- Queueing Theory (Period 4+5, 6.0 EC)