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
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.
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:
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.
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.
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 CITO, CentERData, CBS, TNO, UMCU, LSAC, CTB, ETS, AMC, SAS, Ministry of Education, Ministry of Social Affairs and Employment, Stichting Arq, Dutch Inspectorate of Education, Danone, 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.
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 Netherlands, CITO, Social Cultural Planning Office, TNO, Research Centre for Examination and Certification, or UMCU.
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:
You will be fully equipped with the academic skills and knowledge necessary for your future career.
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.
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.
Find more reasons to choose Statistical Science for the Life and Behavioural Sciencese at Leiden University.
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.
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.
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!
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.
All EIT Digital Master School programmes follow the same scheme:
To learn more about the structure of the programme, please click here.
To learn more about the Innovation & Entrepreneurship minor, please click here.
Entry - 1st year, common courses
Exit - 2nd year, specialisation
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.
· 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: [email protected], we will be happy to help.