* Visa/residence permit, Books
Academic Bachelor's degree
GMAT
Motivation and initiative
Academic Referee
TOEFL IBT: 92 points overall and 22 points for each sub-score (TOEFL institution code: 9011)
IELTS (Academic test): 6,5 Overall and 6,0 for each sub-score
Cambridge Assessment English
Certificate in Advanced English: 170 Points Overall and in each skill
Certificate of Proficiency in English: 170 Points Overall and in each skill
Advise on market development and behaviour
In the Complexity and Economic Behaviour track you will study economic theory, and learn about the complex calculations that govern today's advanced market configurations and pricing structures. Our teaching staff has a high regard for critical thought, so expect challenging discussions and a steep learning curve.
Gain deep insight into the behaviour of companies, governments, financial traders and private consumers in different market circumstances and dynamics.
Acquire the skills necessary for mathematical and statistical modelling.
Become an expert in the mechanics that channel contemporary auctioning and model dynamic economic behaviour.
More information click :here
The programme
The curriculum for the Master’s in Econometrics is quite demanding, with classes taking up 12-15 hours a week on average. An additional 25 hours are required for class preparation, homework, debates, casework and computer time.
Choose your specialisation track
Our Master’s programme in Econometrics consists of a common part for all students and a specific part where you follow courses related to the specialisation track of your choice. After the joint 1st period, you can choose the track that suits you best:
Complexity and Economic Behaviour
Learn to understand the complex calculations that govern markets and pricing structures.
Data Science and Business Analytics
Correlate and interpret the petabytes of data, generated every day by social media and the internet.
Econometrics
Explore economic complexity using real data and statistical tools to analyse economic or business problems.
Financial Econometrics
Study the techniques used to analyse financial markets.
If you want to pursue a Master’s degree in Econometrics as well as in Mathematics, you can follow one of our Double Degree MSc programmes. These programmes consist of courses (150 credits) balanced between 2 schools: the Amsterdam School of Economics and the Faculty of Science.
More about the Double Degree Master’s programmes
Choose your electives
Each track has its own selection of electives for you to tailor the programme to your interests and ambitions.
Electives track Complexity and Economic Behaviour
Electives track Data Science and Business Analytics
Electives track Econometrics
Electives track Financial Econometrics
Advanced Econometrics I
In this course you will gain a deep understanding of econometric theory, practice and inference. You will learn how to apply advanced econometric techniques in practice, extend available methods for particular applications and how to implement them in a matrix programming environment. Also you will learn to understand and derive their statistical properties.
Theory of Markets
In this course you will study the microeconomic theory of perfect and imperfect competition. Learn under what conditions markets perform well as a means to organise economic activity (and under what conditions they do not).
Data Science Methods
In this course you will cover the basic theory of multivariate data analysis and of statistical methods in data science. You will focus on the most relevant multivariate techniques, as well as their application to econometric data in computer lab sessions. We will introduce you to Python, NumPy and pandas, data scraping, cleaning and wrangling.
Advanced Econometrics II
In this course you will build upon the general knowledge you acquired in Advanced Econometrics 1. You will gain a deep understanding of econometric theory, acquire the technical skills to conduct inference and be able to implement these techniques using software like MATLAB, R or Python.
Thesis
The Master’s thesis is the final requirement for your graduation. It is your chance to dive deep into an econometrics or data science topic that you are enthusiastic about. You present your research and findings in your thesis. A professor in your econometrics field of choice (track) will supervise and support you in writing your thesis.
Where do our graduates work?
A lot of our students find a job even before they graduate. And with good reason: our graduates are highly sought after following an excellent training in econometrics and data science. We have a full research programme dedicated to the field. So you will gain insight in the latest theories and techniques, to bring with you to your 1st employer.
Graduates can be found in a wide variety of private and public organisations, such as:
financial institutions and banks;
research departments of large public and private organisations (DNB, CPB, CBS, IMF, ECB);
public agencies;
multinationals;
consultancy.
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Average time to find a job after graduation: |
< 4 months |
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Average starting salary: |
€2,950 gross |
What positions do our graduates have?
Examples of positions currently held by Econometrics graduates include:
chief economist at major international bank;
managing consultant at major consulting firm;
risk management consultant;
senior advisor at the Dutch Monopoly and Merger committee;
financial controller;
owner of your own company.
420 GBP/year
