The master’s programme Mathematics focuses on analysis and number theory. From applied to fundamental research, and from algebra to data science, our master’s programme spans these fields entirely.
The two-year master's programme Mathematics has two components: an analysis-oriented component with topics such as dynamical systems, differential equations, probability theory and stochastics, percolation and mathematics in the life sciences, and an algebra/geometry-oriented component with topics such as algebraic number theory, algebraic geometry, algebraic topology and cryptology. The goal of each programme is to train the student as an independent researcher, and to develop the necessary skills and proficiency to advance your career.
Read more about our Mathematics programme.
Find more reasons to choose Mathematics at Leiden University.
The master’s programme in Mathematics in Leiden focuses on analysis, probability and statistics, number theory and (arithmetic) geometry. If you are looking for an opportunity to specialize in one of these areas, Leiden is an excellent possibility. Students who have obtained a Master of Science degree in Mathematics possess a thorough theoretical basis, know how to work in a multinational environment, and are able to operate well on the international market.
Read more about the entry requirements for Mathematics.
The Master's programme in Mathematics at Radboud University offers you a thorough theoretical training, while maintaining a clear perspective on concrete applications whenever appropriate. Its wide scope, which ranges from medical statistics to the mathematical foundations of computer science, physics and even mathematics itself, reflects the diversity of research at the Institute for Mathematics, Astrophysics and Particle Physics (IMAPP).
Mathematical research of course stands on its own, as is notably the case with the large group in algebraic topology led by Spinoza laureate Ieke Moerdijk. In addition, within IMAPP, researchers link with high-energy physics, including Higgs physics and quantum gravity. Outside IMAPP but within the Faculty of Science, there are close ties with the Institute for Computing and Information Sciences (ICIS) (think of logic and category theory) and outside the Faculty of Science (but within Radboud University) researchers at both the Donders Institute for Neurosciences and the University Medical Center collaborate with the applied stochastics group.
See the website http://www.ru.nl/masters/mathematics
- Algebra & Topology
- Applied Stochastics
- Mathematical Physics
- Mathematical Foundations of Computer Science
Mathematicians are needed in all industries, including the industrial, banking, technology and service industry and also within management, consultancy and education. A Master’s in Mathematics will show prospective employers that you have perseverance, patience and an eye for detail as well as a high level of analytical and problem-solving skills.
The skills learned during your Master’s will help you find jobs even in areas where your specialised mathematical knowledge may initially not seem very relevant. This makes your job opportunities very broad indeed and is why many graduates of a Master’s in Mathematics find work very quickly.
Possible careers for mathematicians include:
- Researcher (at research centres or within corporations)
- Teacher (at all levels from middle school to university)
- Risk model validator
- Consultant
- ICT developer / software developer
- Policy maker
- Analyst
- PhD positions
Radboud University annually has a few PhD positions for graduates of a Master’s in Mathematics. A substantial part of our students attain PhD positions, not just at Radboud University, but at universities all over the world.
See the website http://www.ru.nl/masters/mathematics
Working at a frontier of mathematics that intersects with cutting edge research in physics.
Mathematicians can benefit from discoveries in physics and conversely mathematics is essential to further excel in the field of physics. History shows us as much. Mathematical physics began with Christiaan Huygens, who is honoured at Radboud University by naming the main building of the Faculty of Science after him. By combining Euclidean geometry and preliminary versions of calculus, he brought major advances to these areas of mathematics as well as to mechanics and optics. The second and greatest mathematical physicist in history, Isaac Newton, invented both the calculus and what we now call Newtonian mechanics and, from his law of gravity, was the first to understand planetary motion on a mathematical basis.
Of course, in the Master’s specialisation in Mathematical Physics we look at modern mathematical physics. The specialisation combines expertise in areas like functional analysis, geometry, and representation theory with research in, for example, quantum physics and integrable systems. You’ll learn how the field is far more than creating mathematics in the service of physicists. It’s also about being inspired by physical phenomena and delving into pure mathematics.
At Radboud University, we have such faith in a multidisciplinary approach between these fields that we created a joint research institute: Institute for Mathematics, Astrophysics and Particle Physics (IMAPP). This unique collaboration has lead to exciting new insights into, for example, quantum gravity and noncommutative geometry. Students thinking of enrolling in this specialisation should be excellent mathematicians as well as have a true passion for physics.
See the website http://www.ru.nl/masters/mathematics/physics
- This specialisation is one of the few Master’s in the world that lies in the heart of where mathematics and physics intersect and that examines their cross-fertilization.
- You’ll benefit from the closely related Mathematics Master’s specialisations at Radboud University in Algebra and Topology (and, if you like, also from the one in Applied Stochastics).
- Teaching takes place in a stimulating, collegial setting with small groups. This ensures that at Radboud University you’ll get plenty of one-on-one time with your thesis supervisor.
- You partake in the Mastermath programme, meaning you can follow the best mathematics courses, regardless of the university in the Netherlands that offers them. It also allows you to interact with fellow mathematic students all over the country.
- As a Master’s student you’ll get the opportunity to work closely with the mathematicians and physicists of the entire IMAPP research institute.
- More than 85% of our graduates find a job or a gain a PhD position within a few months of graduating. About half of our PhD’s continue their academic careers.
Mathematicians are needed in all industries, including the industrial, banking, technology and service industry and also within management, consultancy and education. A Master’s in Mathematics will show prospective employers that you have perseverance, patience and an eye for detail as well as a high level of analytical and problem-solving skills.
The skills learned during your Master’s will help you find jobs even in areas where your specialised mathematical knowledge may initially not seem very relevant. This makes your job opportunities very broad indeed and is why many graduates of a Master’s in Mathematics find work very quickly.
Possible careers for mathematicians include:
- Researcher (at research centres or within corporations)
- Teacher (at all levels from middle school to university)
- Risk model validator
- Consultant
- ICT developer / software developer
- Policy maker
- Analyst
Radboud University annually has a few PhD positions for graduates of a Master’s in Mathematics. A substantial part of our students attain PhD positions, not just at Radboud University, but at universities all over the world.
The research of members of the Mathematical Physics Department, emphasise operator algebras and noncommutative geometry, Lie theory and representation theory, integrable systems, and quantum field theory. Below, a small sample of the research our members pursue.
Gert Heckman's research concerns algebraic geometry, group theory and symplectic geometry. His work in algebraic geometry and group theory concerns the study of particular ball quotients for complex hyperbolic reflection groups. Basic questions are an interpretation of these ball quotients as images of period maps on certain algebraic geometric moduli spaces. Partial steps have been taken towards a conjecture of Daniel Allcock, linking these ball quotients to certain finite almost simple groups, some even sporadic like the bimonster group.
Erik Koelink's research is focused on the theory of quantum groups, especially at the level of operator algebras, its representation theory and its connections with special functions and integrable systems. Many aspects of the representation theory of quantum groups are motivated by related questions and problems of a group representation theoretical nature.
Klaas Landsman's previous research programme in noncommutative geometry, groupoids, quantisation theory, and the foundations of quantum mechanics (supported from 2002-2008 by a Pioneer grant from NWO), led to two major new research lines:
1. The use of topos theory in clarifying the logical structure of quantum theory, with potential applications to quantum computation as well as to foundational questions.
2. Emergence with applications to the Higgs mechanism and to Schroedinger's Cat (aka as the measurement problem). A first paper in this direction with third year Honours student Robin Reuvers (2013) generated worldwide attention and led to a new collaboration with experimental physicists Andrew Briggs and Andrew Steane at Oxford and philosopher Hans Halvorson at Princeton.
See the website http://www.ru.nl/masters/mathematics/physics
The Algebra and Topology section is an active research group consisting of renowned experts covering a remarkably broad range of topics. The group consists of two full professors (I. Moerdijk, Spinoza Laureate 2012, and B. Moonen), four permanent members, and a large number of post-docs and PhD students. More information about the research activities of the group can be found at http://www.math.ru.nl/topology.
The section offers a Master's specialisation in Algebra in Topology, which is a 2-year programme aimed at students with an interest in pure mathematics and its applications.
The Master's programme has a strong focus on current research developments. It introduces students to a broad range of techniques and concepts that play a central role in modern mathematics. In addition to providing a strong theoretical basis, the programme offers excellent opportunities for a further specialisation focusing on applications of pure mathematics or on interactions with other fields.
The programme offers courses in Algebra, Topology, Geometry, Number Theory, and Logic and Computation. There are strong interactions with other Master's specialisations at Radboud University, notably the ones in Mathematical Physics and in Mathematical Foundations of Computer Science.
In addition, the programme offers a variety of seminars from beginning Master's level to research level. Moreover, students have the possibility to incorporate courses from related programmes (e.g. Mathematical Physics and Mathematical Foundations of Computer Science into their programme, as well as individual reading courses. Each student concludes his programme by studying a special topic and writing a Master's thesis about it.
Excellent students having completed this Master's programme or a similar programme elsewhere can in principle continue and enrol in the PhD Programme, but admission for this is limited and highly selective.
See the website http://www.ru.nl/masters/algebratopology
1. A completed Bachelor's degree in Mathematics or related area
Entering the Master’s programme in Mathematics requires a Bachelor’s degree in Mathematics that is the equivalent to a Dutch university diploma (this does not include a Bachelor’s from a university of applied science, in Dutch hbo; in German Fachhochschule). That means we expect you to have a solid background in the core areas groups, rings, fields and topology. We expect students to have passed core mathematics courses during their Bachelor’s in:
The Examination Board will determine if an international student has the required mathematical knowledge to be admitted. The Examination Board will also indicate if the student is required to follow specific courses from the Bachelor's programme to eliminate possible deficiencies.
- Basic notions in Mathematics
- Linear Algebra
- Algebra
- Analysis
- Topology
- Geometry
- Differential Equations
2. A proficiency in English
In order to take part in this programme, you need to have fluency in both written and spoken English. Non-native speakers of English without a Dutch Bachelor's degree or VWO diploma need one of the following:
- TOEFL score of ≥575 (paper based) or ≥90 (internet based)
- An IELTS score of ≥6.5
- Cambridge Certificate of Advanced English (CAE) or Certificate of Proficiency in English (CPE) with a mark of C or higher
Mathematicians are needed in all industries, including the banking, technology and service industries, amongst many others. A Master’s in Mathematics will show prospective employers that you have perseverance, patience and an eye for detail as well as a high level of specialised analytical and problem-solving skills.
The skills learned during your Master’s will help you find jobs even in areas where your specialised mathematical knowledge may not seem initially relevant. This makes your job opportunities very broad and is why many graduates of a Master’s in Mathematics find work very quickly.
Possible careers for mathematicians include:
- Researcher (at research centres or within corporations)
- Teacher (at all levels from middle school to university)
- Risk model validator
- Consultant
- ICT developer / software developer
- Policy maker
- Analyst
Radboud University annually has a few PhD positions for graduates of a Master’s in Mathematics. A substantial part of our students attain PhD positions, not just at Radboud University, but at universities all over the world.
See the website http://www.ru.nl/masters/algebratopology
High-level training in statistics and the modelling of random processes for applications in science, business or health care.
For many complex systems in nature and society, stochastics can be used to efficiently describe the randomness present in all these systems, thereby giving the data greater explanatory and predictive power. Examples include statistical mechanics, financial markets, mobile phone networks, and operations research problems. The Master’s specialisation in Applied Stochastics will train you to become a mathematician that can help both scientists and businessmen make better decisions, conclusions and predictions. You’ll be able to bring clarity to the accumulating information overload they receive.
The members of the Applied Stochastics group have ample experience with the pure mathematical side of stochastics. This area provides powerful techniques in functional analysis, partial differential equations, geometry of metric spaces and number theory, for example. The group also often gives advice to both their academic colleagues, and organisations outside of academia. They will therefore not only be able to teach you the theoretical basis you need to solve real world stochastics problems, but also to help you develop the communications skills and professional expertise to cooperate with people from outside of mathematics.
See the website http://www.ru.nl/masters/mathematics/stochastics
- This specialisation focuses both on theoretical and applied topics. It’s your choice whether you want to specialise in pure theoretical research or perform an internship in a company setting.
- Mathematicians at Radboud University are expanding their knowledge of random graphs and networks, which can be applied in the ever-growing fields of distribution systems, mobile phone networks and social networks.
- In a unique and interesting collaboration with Radboudumc, stochastics students can help researchers at the hospital with very challenging statistical questions.
- Because the Netherlands is known for its expertise in the field of stochastics, it offers a great atmosphere to study this field. And with the existence of the Mastermath programme, you can follow the best mathematics courses in the country, regardless of the university that offers them.
- Teaching takes place in a stimulating, collegial setting with small groups. This ensures that you’ll get plenty of one-on-one time with your thesis supervisor at Radboud University .
- More than 85% of our graduates find a job or a gain a PhD position within a few months of graduating.
Mathematicians are needed in all industries, including the banking, technology and service industries, to name a few. A Master’s in Mathematics will show prospective employers that you have perseverance, patience and an eye for detail as well as a high level of analytical and problem-solving skills.
The skills learned during your Master’s will help you find jobs even in areas where your specialised mathematical knowledge may initially not seem very relevant. This makes your job opportunities very broad and is the reason why many graduates of a Master’s in Mathematics find work very quickly.
Possible careers for mathematicians include:
- Researcher (at research centres or within corporations)
- Teacher (at all levels from middle school to university)
- Risk model validator
- Consultant
- ICT developer / software developer
- Policy maker
- Analyst
Radboud University annually has a few PhD positions for graduates of a Master’s in Mathematics. A substantial part of our students attain PhD positions, not just at Radboud University, but at universities all over the world.
The research of members of the Applied Stochastics Department, focuses on combinatorics, (quantum) probability and mathematical statistics. Below, a small sample of the research our members pursue.
Eric Cator’s research has two main themes, probability and statistics.
1. In probability, he works on interacting particles systems, random polymers and last passage percolation. He has also recently begun working on epidemic models on finite graphs.
2. In statistics, he works on problems arising in mathematical statistics, for example in deconvolution problems, the CAR assumption and more recently on the local minimax property of least squares estimators.
Cator also works on more applied problems, usually in collaboration with people from outside statistics, for example on case reserving for insurance companies or airplane maintenance. He has a history of changing subjects: “I like to work on any problem that takes my fancy, so this description might be outdated very quickly!”
Hans Maassen researches quantum probability or non-commutative probability, which concerns a generalisation of probability theory that is broad enough to contain quantum mechanics. He takes part in the Geometry and Quantum Theory (GQT) research cluster of connected universities in the Netherlands. In collaboration with Burkhard Kümmerer he is also developing the theory of quantum Markov chains, their asymptotic completeness and ergodic theory, with applications to quantum optics. Their focal point is shifting towards quantum information and control theory, an area which is rapidly becoming relevant to experimental physicists.
Ross Kang conducts research in probabilistic and extremal combinatorics, with emphasis on graphs (which abstractly represent networks). He works in random graph theory (the study of stochastic models of networks) and often uses the probabilistic method. This involves applying probabilistic tools to shed light on extremes of large-scale behaviour in graphs and other combinatorial structures. He has focused a lot on graph colouring, an old and popular subject made famous by the Four Colour Theorem (erstwhile Conjecture).
See the website http://www.ru.nl/masters/mathematics/stochastics
This research oriented Master’s will provide you with a rich toolkit of creative problem solving skills that will turn you into a desired scientist, both in and outside academia. You will dive deep into mathematics, develope genuine research skills in pure, applied and industrial areas and learn to think out of the box.
This Master's is part of the national Mastermath Programme, a collaboration of Dutch Mathematics Departments who joined efforts to enhance their Master's programmes. Due to this collaboration you can benefit from an exceptional list of mathematical courses, offered either by Utrecht University or another Dutch University. Check the courses page for more information and a full overview of the courses you can choose from.
We combine our course offerings with personal and small-scale teaching, including:
Within this Master's you can choose from 8 different tracks, allowing you to tailor the programme to your own personal interest. Depending on the track you choose, you can pursue your degree either in the direction of Fundamental Mathematics or in Mathematical Modeling.
Fundamental Mathematics tracks:
Mathematical Modeling tracks:
You can also choose to do a Research project in History of Mathematics.
If you are up for it, you can also combine the Mathematical Sciences programme with another Master's programmes of the Graduate School of Natural Sciences (e.g. Theoretical Physics, Climate Physics or Computing Science). This will result in a double Master's degree.
The Mathematical Sciences programme will prepare you for a challenging career, either in or outside academia. Mathematicians are desired employees in today's job market since they can easily deal with complex problems and large data sets in an abstract way. About 40% of our students continue with a PhD in mathematics or related research areas such as imaging or physics (in recent years at Harvard, London, Oxford, Stanford, etc). Many find employment in a research oriented environment at governments or in industry. Work fields include risk analysis, security, forensics, consultancy, data analytics, IT, logistics and more.
In this Master's specialisation, mathematicians working in areas pertinent to (theoretical) computer science, like algebra and logic, and theoretical computer scientists, working in areas as formal methods and theorem proving, have joined forces to establish a specialisation in the Mathematical Foundations of Computer Science. The programme is unique in the Netherlands and will be built on the excellence of both research institutes and the successful collaborations therein.
The emphasis of the Master's is on a combination of a genuine theoretical and up-to-date foundation in the pertinent mathematical subjects combined with an equally genuine and up-to-date training in key aspects of theoretical computer science. For this reason, the mathematics courses in this curriculum concentrate on Algebra, Complexity Theory, Logic, Number Theory, and Combinatorics. The computer science courses concentrate on Formal Methods, Type Theory, Category Theory, Coalgebra and Theorem Proving.
Within both institutes, ICIS and WINST, there is a concentration of researchers working on mathematical logic and theoretical computer science with a collaboration that is unique in the Netherlands. The research topics range from work on algebra, logic and computability, to models of distributed, parallel and quantum computation, as well as mathematical abstractions to reason about programmes and programming languages.
See the website http://www.ru.nl/masters/mathematics/foundations
1. A completed Bachelor's degree in Mathematics or Computer Science
In order to get admission to this Master’s you will need a completed Bachelor's in mathematics or computer science that have a strong mathematical background and theoretical interests. We will select students based on their motivation and their background. Mathematical maturity is essential and basic knowledge of logic and discrete mathematics is expected.
2. A proficiency in English
In order to take part in the programme, you need to have fluency in English, both written and spoken. Non-native speakers of English without a Dutch Bachelor's degree or VWO diploma need one of the following:
- TOEFL score of ≥575 (paper based) or ≥90 (internet based)
- IELTS score of ≥6.5
- Cambridge Certificate of Advanced English (CAE) or Certificate of Proficiency in English (CPE), with a mark of C or higher
There is a serious shortage of well-trained information specialists. Often students are offered a job before they have actually finished their study. About 20% of our graduates choose to go on to do a PhD but most find jobs as systems builders, ICT specialists or ICT managers in the private sector or within government.
In this Master's specialisation, mathematicians working in areas pertinent to (theoretical) computer science, like algebra and logic, and theoretical computer scientists, working in areas as formal methods and theorem proving, have joined forces to establish a specialisation in the Mathematical Foundations of Computer Science. The programme is unique in the Netherlands and will be built on the excellence of both research institutes and the successful collaborations therein.
The emphasis of the Master's is on a combination of a genuine theoretical and up-to-date foundation in the pertinent mathematical subjects combined with an equally genuine and up-to-date training in key aspects of theoretical computer science. For this reason, the mathematics courses in this curriculum concentrate on Algebra, General Topology, Logic, Number Theory, and Combinatorics. The computer science courses concentrate on Formal Methods, Type Theory, Category Theory, Coalgebra and Theorem Proving.
Within both institutes, ICIS and WINST, there is a concentration of researchers working on mathematical logic and theoretical computer science with a collaboration that is unique in the Netherlands. The research topics range from work on algebra, logic and computability, to models of distributed, parallel and quantum computation, as well as mathematical abstractions to reason about programmes and programming languages.
See the website http://www.ru.nl/masters/mathematics/foundations
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.
The LCT program is an international distributed Master program. It is designed to meet the demands of industry and research in the rapidly growing field of Language Technology. Research and innovation in Language Technology is vital for many of the smart applications that are pervasive in modern daily life, such as virtual assistants, automatic translation services, search engines, voice-driven technology, social media analytics etc. Language Technology (also known as Computational Linguistics or Natural Language Processing) is an interdisciplinary field at the intersection of Linguistics, Computer Science and Mathematics (logic, probability theory, formal language theory, statistics). Hence, students in this program choose appropriate combinations of modules in Language Technology, Computational and Theoretical Linguistics, and Computer Science. Moreover, the students are able to acquire practice-oriented knowledge through our strong and continuous links with industry through internships, joint industry-academia supervisions, and the like.
The program involves studying one year each at two different European partner universities. Optionally, a stay at one of the non-european partners for some months is possible, as well as an internship at any of our industrial partners. After completing all study requirements, the students obtain two Master degrees: one from each of the two European universities where they studied.
The course consists of compulsory core modules, as well as elective advanced modules in Language Technology and Computer Science, possibly complemented by an internship project, and completed by a Master Thesis.
The LCT Masters program has been successfully implemented since 2006, being funding by the Erasmus Mundus Programme from 2007 to 2011 and from 2013 to 2017. In 2012 the LCT Program operated as an Erasmus Mundus Brand Name. Intake 2018: the program commits to respecting the Erasmus Mundus requirements and to maintain the high quality of the implementation during the years of funding.
+ duration 2 years (120 ECTS credits)
+ in-depth theoretical and hands-on instruction in computational linguistics methods and technologies
+ study one year each at two different partner universities in Europe
+ double degree
+ possibility to visit one of two non-European partners for a part of the study
+ language of instruction and academic and administrative support is English
1. Saarland University in Saarbruecken, Germany (coordinator)
2. University of Trento, Trento, Italy
3. University of Malta, Malta
4. University of Lorraine, Nancy, France
5. Charles University, Prague, Czech Republic
6. Rijksuniversiteit Groningen, The Netherlands
7. The University of the Basque Country / Euskal Herriko University, San Sebastian, Spain
8. Shanghai Jiao Tong University, China
9. The University of Melbourne, Australia
You can find answers to our Frequently asked questions here: https://lct-master.org/contents_2014/faq.php
The LCT program offers education and training opportunities for the next generation of leaders in research and innovation in artificial intelligence as well as language and speech technologies. Examples of jobs held by the LCT alumni include: PhD student; university professor; company founder, data scientist, software engineer, IT consultant, senior analyst, researcher, senior linguist, information extraction engineer, project leader, computational linguist, assistant professor, post-doctoral researcher.
Visit the European Masters Program Language & Communication Technologies page on the University of Malta website for more details!
You can find answers to our Frequently asked questions here: https://lct-master.org/contents_2014/faq.php
Science and technology clearly have a profound influence on society, but the reverse is also true: society significantly shapes the ways in which science and technology evolve. Economic interests, public opinion and policy shifts are decisive for the shaping of science and technology. However, experience has shown that scientists on the one hand and the general public, government and businesses on the other aren’t always able to clearly understand one another. That is why experts with a background in science and an understanding of social processes are indispensable.
The Master's specialisation in Science in Society offers you different perspectives on science and slightly shift your career opportunities by teaching you a different set of skills on top of the research skills learned in the first year of our Master’s programmes.
This specialisation is available in the Master's in Biology, Chemistry, Computing Sciences, Mathematics, Medical Biology, Molecular Life Sciences, Physics and Astronomy, and Science. Students gain advanced knowledge in their preferred science, and also choose a theme to structure their programme to gain specialised skills in one aspect of science management and innovation.
See the website http://www.ru.nl/masters/science/scienceinsociety
The intermediary role between science and society is highly sought after. You will be prepared for a dynamic career in various fields and work environments such as policy, advisory bodies, interest groups and governments, as well as interdisciplinary research that connects science and society. Although not part of the compulsory part of the programme, this specialisation can also prepare you for the field of science journalism or communication, for you can make that the focus of your graduation project.
Top research and facilities
This specialisation is closely connected to the Institute for Science, Innovation & Society (ISIS); this institute brings together a group of experts from various disciplines and backgrounds in order to jointly tackle societal issues.
You also have the unique opportunity of working on a variety of large-scale European research projects that are connected to researchers on the Radboud University campus.
The first thing you will notice as you enter our Faculty of Science is the open atmosphere. This is reflected by the light and transparent building and the open minded spirit of the working, exploring and studying people that you will meet there. No wonder students from all over the world have been attracted to Nijmegen. You study in small groups, in direct and open contact with members of the staff. In addition, Nijmegen has excellent student facilities, such as high-tech laboratories, libraries and study ‘landscapes'.
Studying by the ‘Nijmegen approach' is a way of living. We will equip you with tools which are valuable for the rest of your life. You will be challenged to become aware of your intrinsic motivation. In other words, what is your passion in life? With this question in mind we will guide you to translate your passion into a personal Master's programme.
Radboud University was rated Best General University in the Netherlands in the Keuzegids Masters 2017 (Guide to Master's programmes)
See the website http://www.ru.nl/masters/science/scienceinsociety
