• University of Surrey Featured Masters Courses
  • Xi’an Jiaotong-Liverpool University Featured Masters Courses
  • University of Bristol Featured Masters Courses
  • Northumbria University Featured Masters Courses
  • Cardiff University Featured Masters Courses
  • University of Northampton Featured Masters Courses
  • Birmingham City University Featured Masters Courses
De Montfort University Featured Masters Courses
Cranfield University Featured Masters Courses
University of the West of England, Bristol Featured Masters Courses
University of Leicester Featured Masters Courses
University of Bath Featured Masters Courses
Netherlands ×
0 miles
Mathematics×

Masters Degrees in Statistics, Netherlands

We have 3 Masters Degrees in Statistics, Netherlands

  • Mathematics×
  • Statistics×
  • Netherlands ×
  • clear all
Showing 1 to 3 of 3
Order by 
STATE-OF-THE-ART RESEARCH IN METHODOLOGY AND STATISTICS. Modern society is highly data-driven. Everything is monitored and measured, yet there are major challenges to finding optimal ways to design research, analyse data, and extract the most valuable information. Read more

STATE-OF-THE-ART RESEARCH IN METHODOLOGY AND STATISTICS

Modern society is highly data-driven. Everything is monitored and measured, yet there are major challenges to finding optimal ways to design research, analyse data, and extract the most valuable information.

This selective Master’s programme combines the research expertise of the following departments at Utrecht University (UU) and the University of Twente (UT):

This programme therefore also has two main study locations you can choose from, that is, either Utrecht University or the University of Twente. The collaboration between these departments provides you with an exceptionally broad range of internship opportunities and thesis topics focused on the following fields: Behavioural Sciences | Biomedical Sciences | Social Sciences

HIGH QUALITY

The programme is recognised as a high quality programme and has been awarded high ratings in the past years by established rankings in the Netherlands. 

COMBINING THEORY AND APPLICATION

Through the programme’s cutting-edge research in methodology and statistics, you will acquire the knowledge and skills needed to carry out fundamental and applied research at the level of a PhD project. This two-year Master’s programme provides you with answers to questions such as:

  • What is the best way to set up a clinical trial to test new medical treatments?
  • How do we estimate the number of illegal immigrants in the Netherlands?
  • How do we obtain valid answers in a survey about sensitive topics like income or tax fraud?
  • How do we accumulate knowledge through Bayesian updating techniques?

You will also develop your ability to consult with applied researchers on a wide range of methodological and statistical issues. During your studies, you will select a specialisation in the behavioural, biomedical, or social sciences, which you will explore in depth through electives and (the preparation for) your Master’s thesis.

INTERNATIONAL ORIENTATION

Every year, students are invited to participate in the organisation of conferences, through which they have the opportunity to interact with scientists from around the world. In addition, there are opportunities to take electives abroad.

EXCELLENT CAREER PROSPECTS

The Methodology and Statistics programme prepares you for a scientific career in academia, research institutes, government organisations, NGOs, or private enterprises. Utrecht University, University Medical Centre Utrecht, and the University of Twente maintain strong partnerships with various non-academic institutions, such as CITOCentERDataCBSTNOUMCULSACCTBETSAMCSASMinistry of EducationMinistry of Social Affairs and EmploymentStichting ArqDutch Inspectorate of EducationDanone, and Ex:plain, which provide excellent career prospects for our students. The majority of our graduates obtain positions as PhD students either in one of the three departments that coordinate this Master’s programme or in other related departments in the Netherlands or abroad.

THESIS AND PREPARATION

You can prepare for and write your thesis at one of the three participating departments, or you can broaden your experience by working with other organisations, such as Statistics NetherlandsCITOSocial Cultural Planning OfficeTNOResearch Centre for Examination and Certification, or UMCU.

PROGRAMME OBJECTIVE

Through this Master’s programme, you will develop the skills and knowledge to function as a qualified practitioner who is ready for PhD training or a research career outside academia. You'll learn how to:

  • develop methodological and statistical approaches that are required by new developments;
  • evaluate commonly used methodological and statistical approaches; and
  • apply methodological and statistical approaches in cooperation with behavioural, biomedical, and social sciences researchers.

You will be fully equipped with the academic skills and knowledge necessary for your future career.



Read less
The two-year master’s programme Statistical Science for the Life and Behavioural Sciences provides you with a thorough introduction to the general philosophy and methodology of statistical modelling, data analysis and data science. Read more

The two-year master’s programme Statistical Science for the Life and Behavioural Sciences provides you with a thorough introduction to the general philosophy and methodology of statistical modelling, data analysis and data science.

What does this master’s programme entail?

The two-year master’s programme in Statistical Science provides you with a thorough introduction to the general philosophy and methodology of statistical modelling and data analysis. The programme consists of a core programme shared by all students, and specialisation specific courses, electives, an internship or research project and master’s thesis. You can specialise in either life and behavioural sciences, where the emphasis is on the application in multidisciplinary environments, or in data sciences where you focus more on data mining, pattern recognition and deep learning.

Read more about the Statistical Science for the Life and Behavioural Sciences programme.

Why study Statistical Sciences for the Life and Behavioural Sciences at Leiden University?

  • Each specialisation offers you a unique combination of knowledge and expertise. These allow for a thorough preparation for a career as a data scientist, researcher or statistician anywhere.
  • Job perspectives after graduation are great: statisticians and data scientists are highly sought after in various industries such as academia, marketing, banking, government, official statistics, healthcare, bioinformatics and more.
  • The Statistical Science programme is a collaborative effort. Four Leiden University Institutes closely collaborate with top research institutes such as Wageningen UR and VUMC, which means that your education is provided by experts in their respective fields.

Find more reasons to choose Statistical Science for the Life and Behavioural Sciencese at Leiden University.

Statistical Sciences for the Life and Behavioural Sciences: the right master’s programme for you?

The field of statistics, like other areas of applied mathematics, often attracts students who are interested in the analysis of patterns in data: developing, understanding, abstracting, and packaging analytical methods for general use in other subject areas. Statistics is also, by definition, an information science. Imaginative use of both computing power and new computing environments drives much current research - so an interest in computation and/or computer science can also be a start for a statistician. With the growing importance of data within our society, you’ll be highly in demand with a degree in Statistical Sciences.

Read more about the entry requirements for the Statistical Science programme.



Read less
Why study Data Science?. Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. Read more

Why study Data Science?

Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us.

What are the career opportunities?

Data science is a highly innovative area. The profession was described as "Sexiest Job of the 21st Century," by Harvard Business Review in October 2012. The data scientist simultaneously masters scalable data management, data analysis and domain area expertise to extract key knowledge and solve real-world problems. Data scientists’ skills are highly valued across all fields within the private sector, government and non-profit organisations. This is an opportune time to pursue training in both a challenging and rewarding area of expertise. So join us and embark on a journey of a lifetime!

Why choose Data Science at EIT Digital?

The Data Science Masters offers a unique two-year academic programme, whereby students study data science, innovation and entrepreneurship at two different leading European universities.

Students acquire in-depth technical skills in scalable data collection techniques and data analysis methods. They learn how to use and develop a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, visualisation, and related concepts (e.g., data access, data pricing, and data privacy).

At the same time, they also acquire extensive business skills by learning how to bring an innovation to the market and developing a successful business model. These additional entrepreneurial skills will give students their ticket to a successful career.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the structure of the programme, please click here.

To learn more about the Innovation & Entrepreneurship minor, please click here.

Where can I study Data Science?

Entry - 1st year, common courses

  • Eindhoven University of Technology (TU/e), The Netherlands
  • Royal Institute of Technology (KTH)
  • Universidad Politecnica de Madrid (UPM), Spain
  • Universite Nice Sophia Antipolis (UNS), France
  • Politecnico di Milano (POLIMI), Italy

Exit - 2nd year, specialisation

  • Infrastructures for Large Scale Data Management and Analysis at Universidad Politecnica de Madrid (UMP), Spain
  • Multimedia and Web Science for Big Data at Université de Nice Sophia Antipolis (UNS), France
  • Business Process Intelligence at Eindhoven University of Technology (TU/e), The Netherlands
  • Distributed Systems and Data Mining for Big Data at The Royal Institute of Technology (KTH), Sweden
  • Design, Implementation, and Usage of Data Science Instruments at Technische Universität Berlin (TUB), Germany
  • Machine Learning, Big Data Management, and Business Analytics at Aalto University, Finland
  • Real-time Data Analytics at Eötvös Lorand University (ELTE), Hungary

About EIT Digital Master School

EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.

Scholarship:

·        European citizen: No tuition fees. Up to 750 Euros monthly allowance

·        Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance

Application deadline to begin studying in September 2018:

·        15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)

*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.

How should you apply?

To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.

Need more information?

Master School Office: , we will be happy to help.



Read less

  • 1
Show 10 15 30 per page



Cookie Policy    X