Search Masters Programs in Data Science 2019 in Amsterdam in Netherlands
A Masters degree gives you the opportunity to either further your understanding of a particular question or take off in a completely different way using skills you have gained from your previous undergraduate degree.
The capital city of Netherlands, Amsterdam has well known universities such as the University of Amsterdam and Universiteitsbibliotheek Amsterdam. These educational institutions tend to provide diversified graduate and post graduate degree programs, and they have top notch Research and Development facilities.
Request Information Master's Degrees in Data Science in Amsterdam in Netherlands 2019
Marketing Data Science is a specialization of the Econometrics and Operations Research master's programme. This hands-on study into econometric methods for analyzing mark
Marketing Data Science is a specialization of the Econometrics and Operations Research master's programme. This hands-on study into econometric methods for analyzing marketing data to facilitate better marketing strategies let you become the quantitative marketing specialist and place you at the forefront of a successful professional career.
Marketing Data Science connects many academic disciplines including mathematics, statistics, economics, and marketing, and 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 can be used to analyse volume shares, advertising effects, sale strategies, consumer behaviour, brand loyalty schemes, TV and social media advertising, and many other topics....
In our specialization Econometrics and Data Science of the Econometrics and Operations Research master's programme, we welcome you in the fast-developing world of econome
In our specialization Econometrics and Data Science of the Econometrics and Operations Research master's programme, we weldcome you in the fast-developing world of econometrics and data science methods for ultra-high dimensional data sets. In this specialization, we cover the statistical theory of high-dimensional spaces, the computer science skills of handling big data, the econometric methodology of identifying causal economic relations in a data-rich environment. You further learn the practical skills of analyzing, modelling and forecasting key financial and economic variables, for the purpose of improving policy and decision-making.
The specialization Econometrics and Data Science offers an excellent opportunity for those wishing to enhance their quantitative profile for a career in data science. The program combines different academic disciplines including statistics, econometrics, computer science, economics and business, but it is more than a simple intersection of these. In essence, it is concerned with the theory and practice of transforming large and complex data sets into pieces of information that are potentially beneficial for a wide range of purposes relevant to corporates, economic and government institutions, and financial service companies. This will give you a distinct and strong profile, placing you at pole position for a successful career as a data scientist in professional, business and academic environments....
Data science: a shock to the financial system, or its biggest opportunity? The availability of big data, in combination with rapidly increasing computing power, is uncove
Data science: a shock to the financial system, or its biggest opportunity? The availability of big data, in combination with rapidly increasing computing power, is uncovering mechanisms not visible before. Blockchain has the ability to fundamentally change the way we register and administer information. Networks provide the opportunity to build robust and stable interactions. Major challenges lie ahead in understanding what these fascinating new technologies imply for our financial infrastructure.
These developments call for a new type of finance graduate. The Duisenberg Honours Programme in Finance and Technology trains you to master traditional finance techniques in combination with developments in data science. Having graduated from the programme, you’ll have the ability to understand the data techniques, how they can be applied in the financial sector, and how they can transform businesses. While you won’t be a data science specialist, you’ll form a bridge between the programmer and the manager. You’ll understand the technicians, apply the techniques in the financial sector, and sell them to the outside world....
The Master of Data Science program consists of 60 ECTS credits coursework with a final project. You can complete 9 modules in 12 to 15 months and earn your master’s degre
The Master of Data Science program consists of 60 ECTS credits coursework with a final project. You can complete 9 modules in 12 to 15 months and earn your master’s degree in Data Science. You can learn more about European Leadership Univesity and Data Science Master's Program here.
You are offered both digital and face-to-face learning experience throughout the programme. Comprehensive digital course materials, projects and e-libraries are provided through our online platform while you can be part of a thriving on-campus experience involving workshops, hackathons, action learning groups and mentoring.
Our degrees are fully recognised in 50 countries in European Higher Education Area (EHEA). We are committed to obtaining further international accreditation. In this regard, we are in the process of acquiring an NVAO & ABET accreditations for the class of 2019....