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.
The ever-increasing importance in every engineering branch of modeling tools, i.e., virtual prototypes simulating complex physical and societal phenomena, requires a new generation of professionals able to exploit the full potential of the current simulation resources, possessing fundamentally different and innovative work proficiencies. The expertise of modeling engineers cannot be restricted to classical devices, tools, and instrumentation, but requires a deeper and systematic knowledge of the basic concepts of mathematical and numerical modeling, with a wider vision on the intimate inter-relationship between data, physical processes, and computational methods.
The Master degree in "Mathematical Engineering", offered by the University of Padova, captures the evolution of professional engineers proposing an advanced study program that combines both solid fundamental knowledge of the physical processes and deep theoretical and technological competences. This degree exposes the student to a multidisciplinary education lying between engineering and applied mathematics, providing the attendants with the ability to mold their expertise towards several specific disciplines, though still receiving a solid general-purpose engineering and modeling culture.
For this reason, the program contains both theoretical and applied research-oriented courses, with the aim of building an innovative, high-level engineer profile, characterized by a strong theoretical and scientific background on mathematical modeling tools, as well as, on general physical and financial sciences, together with advanced computational engineering expertise. The successful student will acquire advanced skills in the field of mathematical modeling of physical or financial processes, with specific interest in the formulation, validation, and critical use of models and in the fundamental interpretation of related quantitative results. The graduates in Mathematical Engineering will be able to effectively formulate complex engineering problems within a multidisciplinary framework, and transfer and discuss results with experts of different disciplines.
Please check: http://en.didattica.unipd.it/off/2017/LM/IN/IN2191
Graduates in Mathematical Engineering can find natural occupational opportunities in agencies operating in the research of innovative technological solutions and advanced design with the aid of virtual prototype systems. The development and use of computational models is attracting a growing number of applications from different technological and scientific fields, as well as in economic and financial sciences, including risk analysis, trading, and investments.
The graduates in Mathematical Engineering have the expertise profile to cover positions of high responsibility in research and development centers, consulting companies, both public and private, working in advanced technological fields of civil, environmental and industrial, engineering, information technology laboratories, financial institutions, banks, insurance companies, energy companies, or consulting firms. They are also perfectly targeted at research institutions, or the academia. Their added value is given by their training in an international and collaborative environment, as well as by a rich proficiency in English.
The University of Padova, the Veneto Region and other organisations offer various scholarship schemes to support students. Below is a list of the funding opportunities that are most often used by international students in Padova.
You can find more information below and on our website here: http://www.unipd.it/en/studying-padova/funding-and-fees/scholarships
You can find more information on fee waivers here: http://www.unipd.it/en/fee-waivers
The Laboratory for Foundations of Computer Science (LFCS) continues to lead the way in the development of mathematical models, theories and tools that probe the possibilities of computation and communication.
Our students benefit from being part of one of the largest and strongest groups of theoretical computer scientists in the world.
Our research is aimed at establishing deep understanding of computation in its many forms. Using advanced mathematical principles, we create theories and software tools allowing fundamental capabilities of computation to be explored, as well as designing languages that can be used to construct safe and effective programs.
Areas of interest within LFCS include: algorithms and complexity, cryptography, databases, logic, programming languages and semantics, performance modeling, quantum computing, security and privacy, software modeling and testing, and verification.
As a research student at LFCS, you will have access to our highly respected academic staff community, which includes Fellows of the Royal Society and a winner of a Blaise Pascal medal. Our students regularly receive ‘best paper’ awards at conferences.
You will carry out your research within a research group under the guidance of a supervisor. You will be expected to attend seminars and meetings of relevant research groups and may also attend lectures that are relevant to your research topic. Periodic reviews of your progress will be conducted to assist with research planning.
A programme of transferable skills courses facilitates broader professional development in a wide range of topics, from writing and presentation skills to entrepreneurship and career strategies.
The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.
The award-winning Informatics Forum is an international research facility for computing and related areas. It houses more than 400 research staff and students, providing office, meeting and social spaces.
It also contains two robotics labs, an instrumented multimedia room, eye-tracking and motion capture systems, and a full recording studio amongst other research facilities. Its spectacular atrium plays host to many events, from industry showcases and student hackathons to major research conferences.
Nearby teaching facilities include computer and teaching labs with more than 250 machines, 24-hour access to IT facilities for students, and comprehensive support provided by dedicated computing staff.
Among our entrepreneurial initiatives is Informatics Ventures, set up to support globally ambitious software companies in Scotland and nurture a technology cluster to rival Boston, Pittsburgh, Kyoto and Silicon Valley.
Our graduates are in high demand for postdoctoral academic roles. In addition, the skills you will graduate with can be applied to roles in industry, particularly finance, software development and consultancy.
This programme involves studying the interaction between and within groups of neurons in the brain, and how they affect our interactions with the outside world.
The brain is no longer considered a passive response device but rather as a network in which we consider ongoing activity before, during, and after a stimulus. The specialisation Brain Networks and Neuronal Communication deals with brain networks; ranging from the smallest scale, the communication between individual neurons, to the largest scale, communication between different brain areas. Using advanced mathematical tools, this specialisation prepares students for cutting-edge neuroscience research.
Students interested in this specialisation are expected to already have a high level of mathematical skills and/or training in physics, engineering or computer science in their Bachelor’s studies.
A large majority of our graduates gain a PhD position, while other graduates find jobs in the commercial sector or at research institutes. Graduates of this specialisation may more readily find a position within a government institution or specialised companies (e.g. in the pharmaceutical industry).
See the website http://www.ru.nl/masters/cns/brain
- Researchers in Nijmegen combine new techniques for electrophysiological and anatomical measurements of connectivity and activation with data analysis and the experimental application of these techniques. This is done in studies of cognition in not just humans but also non-human primates and rodents.
- Exceptional students who choose this specialisation have the opportunity to do a double degree programme with either Neuroscience or Artificial Intelligence. This will take three instead of two years.
- This competitive programme provides a sound balance of theory and practice. Our selective approach guarantees excellence, especially during the research training period.
If you have successfully completed the Master’s programme in Brain networks and neuronal communication, you will be able to conduct independent neuroimaging and neurobiological research. You will have ample knowledge of the anatomical and neurophysiological aspects of networks in the human brain and the techniques for the computational analysis and modeling of brain networks. This will enable you to conduct independent research into the neurofunctional architecture of key cognitive functions, such as perception, attention, memory, language, planning and targeted actions and develop technologies to measure, characterise and model networks at the whole brain and/or the local cortical circuit level. With this educational background you should be able to find a position with one of the research institutes in the Netherlands or abroad, government institutions or specialised companies (e.g. in the pharmaceutical industry).
Research in the field of cognitive neuroscience is one of the spearheads in the research policy of Radboud University. Here, in Nijmegen, hundreds of scientists from various faculties and top institutes have joined forces to unravel the workings of the human brain, step by step . They work together closely, exchange expertise and share state-of-the-art research equipment.
Nijmegen is one of the foremost centres of cognitive neuroscience in the world. We have a high admission threshold to ensure that all of our students are highly motivated and have the ability to work at an advanced level. Top scientists screen all applications to make sure the new students meet our stringent entry criteria and can maintain the current standards of excellence. Once admitted to the programme, you can expect to be trained as a multidisciplinary scientist in the following two years. The research you will undertake addresses crossdisciplinary challenges. The teachers and supervisors you will meet are all experts in their own disciplines. We hope that with this programme, you will outperform your teachers by being able to combine knowledge from different domains. Alongside language processing and perceptuomotor systems, you may also help improve brain/computer interfaces, a hot topic with applications in medicine and information technology. Apart from being very exciting, it is also logical that various disciplines are merging. After all, everything that happens in the brain is interconnected. In Nijmegen we develop sophisticated cognitive models which we test by means of state-of-the-art imaging techniques, thanks to which you can participate in cutting-edge research that will hopefully lead to new insights into the way the human brain and mind work. Finally, we offer our best CNS students excellent career opportunities in challenging PhD projects.
- Unique multi-disciplinary Master’s programme
Are you also interested in the human brain? Would you like to conduct research into the workings of the brain and join an enthusiastic, international group of top researchers? The Radboud University offers a multi-faculty Master’s programme in Cognitive Neuroscience. The programme takes two years and is of a scientific orientation. There is a strong emphasis on experimental research. This Master’s programme is unique in Europe.
The Master’s programme in Cognitive Neuroscience is primarily focused on training you as a researcher because research institutes and businesses around the world desperately need highly qualified and motivated young researchers. Moreover, since cognitive neuroscience is a rather young discipline, much in this field has not yet been explored. There are many challenging questions that need to be answered. So there is plenty of room for new discoveries!
This competitive programme provides a sound balance of theory and practice. We enroll about 50 students per year. Our selective approach guarantees excellence, especially during the research training period.
See the website http://www.ru.nl/masters/cns/brain