• Jacobs University Bremen gGmbH Featured Masters Courses
  • Aberystwyth University Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • Northumbria University Featured Masters Courses
  • University of Derby Online Learning Featured Masters Courses
  • University of Bristol Featured Masters Courses
  • University of Leeds Featured Masters Courses

Postgrad LIVE! Study Fair

Birmingham | Bristol | Sheffield | Liverpool | Edinburgh

Cranfield University Featured Masters Courses
University of Cambridge Featured Masters Courses
Cass Business School Featured Masters Courses
Nottingham Trent University Featured Masters Courses
Swansea University Featured Masters Courses
"mathematical" AND "model…×
0 miles

Masters Degrees (Mathematical Modeling)

We have 51 Masters Degrees (Mathematical Modeling)

  • "mathematical" AND "modeling" ×
  • clear all
Showing 1 to 15 of 51
Order by 
Complex systems with a technological, biological or socio-economic background determine our everyday life. Read more

About the Program

Complex systems with a technological, biological or socio-economic background determine our everyday life. The challenge of modeling these complex systems mathematically demands the following prototypic profile of an "expert mastering a repertoire of modern mathematical and computer based methods for modeling, simulating and optimizing complex systems and knowing how to combine those methods for solving real-world problems".
The term expert is understood in the sense of generalist and not a specialist, since this program aims at teaching a broad spectrum of modern methods.

The two-years English-taught master program "Mathematical Modeling of Complex Systems" focuses on advanced techniques of modeling, simulation and optimization. A substantial set of elective courses allows concentration on areas of individual interest. A mobility window enables the students to study abroad and gain scientific and cultural experience at international partner universities. This program uses English as medium of instruction since its graduates will enter a highly globalized work and research community. Besides that, the participation and enrollment of international candidates is explicitly welcomed.

Application oriented, interdisciplinary seminars link the theoretical basics and concepts of modeling and simulation. Students work in small teams to solve real world problems. This teamwork reflects typical work in applied sciences and corresponds to our paradigm of an "expert mastering a repertoire of methods to solve problems".

Find out more about the program and our campus in Koblenz under:
https://www.uni-koblenz-landau.de/de/koblenz/fb3/mathe/studium/mmcs/

Aims/Career Perspectives

The Master degree in Mathematical Modeling of Complex Systems is to give those possessing extended skills in Mathematics, Physics and Computer Science in theory, experiment and practical application. These skills are complemented with further knowledge in additional topics, individually selected by each student. The degree entitles its holder to exercise professional work in the field of Applied Mathematics and/or Mathematical Modeling in science or industry or to pursue a PhD program in related fields.

Program Structure

The first three terms of the two-years master „Mathematical Modeling of Complex Systems“ consist of core courses in Applied Mathematics and Applied Physics. Elective courses in Applied Mathematics, Applied Physics and Computer Sciences allow each student to set its individual focus. Active use of the gained knowledge and its application to the solution of real-world problems is taught and practiced in a project seminar. This project seminar can be carried out in a three-month period at a research institution, enterprise or at university. The master thesis in the last term and dealing with modeling and simulating a real-world problem, shows the student’s ability to perform independent research work.
The core and elective courses typically include a written or oral exam, the project seminar is graded based an oral presentation and written report of the project results.

You can find an exemplary list of courses and can download a overview of the modules under:
https://www.uni-koblenz-landau.de/de/koblenz/fb3/mathe/studium/mmcs#curriculum

Read less
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. Read 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.

Course structure

Please check: http://en.didattica.unipd.it/off/2017/LM/IN/IN2191

Career opportunities

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.

Scholarships and Fee Waivers

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



Read less
The University of Dundee has a long history of mathematical biology, going back to Professor Sir D'Arcy Wentworth Thompson, Chair of Natural History, 1884-1917. Read more

Mathematical Biology at Dundee

The University of Dundee has a long history of mathematical biology, going back to Professor Sir D'Arcy Wentworth Thompson, Chair of Natural History, 1884-1917. In his famous book On Growth and Form (where he applied geometric principles to morphological problems) Thompson declares:

"Cell and tissue, shell and bone, leaf and flower, are so many portions of matter, and it is in obedience to the laws of physics that their particles have been moved, molded and conformed. They are no exceptions to the rule that God always geometrizes. Their problems of form are in the first instance mathematical problems, their problems of growth are essentially physical problems, and the morphologist is, ipso facto, a student of physical science."

Current mathematical biology research in Dundee continues in the spirit of D'Arcy Thompson with the application of modern applied mathematics and computational modelling to a range of biological processes involving many different but inter-connected phenomena that occur at different spatial and temporal scales. Specific areas of application are to cancer growth and treatment, ecological models, fungal growth and biofilms. The overall common theme of all the mathematical biology research may be termed"multi-scale mathematical modelling" or, from a biological perspective, "quantitative systems biology" or"quantitative integrative biology".

The Mathematical Biology Research Group currently consists of Professor Mark Chaplain, Dr. Fordyce Davidson and Dr. Paul Macklin along with post-doctoral research assistants and PhD students. Professor Ping Lin provides expertise in the area of computational numerical analysis. The group will shortly be augmented by the arrival of a new Chair in Mathematical Biology (a joint Mathematics/Life Sciences appointment).

As a result, the students will benefit directly not only from the scientific expertise of the above internationally recognized researchers, but also through a wide-range of research activities such as journal clubs and research seminars.

Aims of the programme

1. To provide a Masters-level postgraduate education in the knowledge, skills and understanding of mathematical biology.
2. To enhance analytical and critical abilities and competence in the application of mathematical modeling techniques to problems in biomedicine.

Prramme Content

This one year course involves taking four taught modules in semester 1 (September-December), followed by a further 4 taught modules in semester 2 (January-May), and undertaking a project over the Summer (May-August).

A typical selection of taught modules would be:

Dynamical Systems
Computational Modelling
Statistics & Stochastic Models
Inverse Problems
Mathematical Oncology
Mathematical Ecology & Epidemiology
Mathematical Physiology
Personal Transferable Skills

Finally, all students will undertake a Personal Research Project under the supervision of a member of staff in the Mathematical Biology Research Group.

Methods of Teaching

The programme will involve a variety of teaching formats including lectures, tutorials, seminars, journal clubs, case studies, coursework, and an individual research project.

Taught sessions will be supported by individual reading and study.

Students will be guided to prepare their research project plan and to develop skills and competence in research including project management, critical thinking and problem solving, project reporting and presentation.

Career Prospects

The Biomedical Sciences are now recognizing the need for quantitative, predictive approaches to their traditional qualitative subject areas. Healthcare and Biotechnology are still fast-growing industries in UK, Europe and Worldwide. New start-up companies and large-scale government investment are also opening up employment prospects in emerging economies such as Singapore, China and India.

Students graduating from this programme would be very well placed to take advantage of these global opportunities.

Read less
Provided by the School of Mathematics, this is a one year (full time) taught M.Sc. in High Performance Computing. The degree provides practical training in the emerging high performance computing technology sector. Read more
Provided by the School of Mathematics, this is a one year (full time) taught M.Sc. in High Performance Computing. The degree provides practical training in the emerging high performance computing technology sector.

The aim of the course is to train students in practical applications of high-performance technical computing in industry, finance and research. Course content includes computer architecture, software optimisation, parallel programming, classical simulation and stochastic modelling. Application areas include simulation of physical, chemical and biological systems, financial risk management, telecommunications performance modelling, optimisation and data mining. The course has a number of optional elements, allowing specialization in application areas.

The course includes a strong practical element. Students have unlimited access to a dedicated teaching computing laboratory, and access to the facilities of the Trinity College Centre for High- Performance Computing, which include large-scale parallel computers. Career opportunities include mathematical modeling, simulation and forecasting, database mining and resource management. The techniques covered during the year will allow students to work in advanced software development including parallel and concurrent software applications. High-performance technical computing methods are becoming increasingly widespread in research into mathematics, physics, chemistry and biotechnology, engineering and finance, providing a wide range of options for the student wishing to go on to further research.

Read less
Computational Life Science. In recent years, biological research has become increasingly interdisciplinary, focusing heavily on mathematical modeling and on the analysis of system-wide quantitative information. Read more

Computational Life Science

In recent years, biological research has become increasingly interdisciplinary, focusing heavily on mathematical modeling and on the analysis of system-wide quantitative information. Sophisticated high-throughput techniques pose new challenges for data integration and data interpretation. The Computational Life Science (CompLife) MSc program at Jacobs University meets these challenges by covering computational, theoretical and mathematical approaches in biology and the life sciences. It is geared towards students of bioinformatics, computer science, physics, mathematics and related areas.

Program Features

The CompLife program is located at Jacobs University, a private and international English-language academic institution in Bremen, Germany. CompLife students at Jacobs University take a tailor-made curriculum comprising lectures, seminars and laboratory trainings. Courses cover foundational as well as advanced topics and methods. Core components of the program and areas of specialization include:

- Computational Systems Biology

- Computational Physics and Biophysics

- Bioinformatics

- RNA Biology

- Imaging and Modeling in Medicine

- Ecological Modeling

- Theoretical Biology

- Applied Mathematics

- Numerical Methods

For more details on the CompLife curriculum, please visit the program website at http://www.jacobs-university.de/complife.

Career Options

Graduates of the CompLife program are prepared for a career in biotechnology and biomedicine. Likewise, graduates of the program are qualified to move on to a PhD.

Application and Admission

The CompLife program starts in the first week of September every year. Please visit http://www.jacobs-university.de/graduate-admission or use the contact form to request details on how to apply. We are looking forward to receiving your inquiry.

Scholarships and Funding Options

All applicants are automatically considered for merit-based scholarships of up to € 12,000 per year. Depending on availability, additional scholarships sponsored by external partners are offered to highly gifted students. Moreover, each admitted candidate may request an individual financial package offer with attractive funding options. Please visit http://www.jacobs-university.de/study/graduate/fees-finances to learn more.

Campus Life and Accommodation

Jacobs University’s green and tree-shaded campus provides much more than buildings for teaching and research. It is home to an intercultural community which is unprecedented in Europe. A Student Activities Center, various sports facilities, a music studio, a student-run café/bar, concert venues and our Interfaith House ensure that you will always have something interesting to do. In addition, Jacobs University offers accommodation for graduate students on or off campus.



Read less
EMARO+ is an integrated Masters course conducted by. Ecole Centrale de Nantes (France), Warsaw University of Technology (Poland), the University of Genoa (Italy), and Jaume I University (Spain). Read more
EMARO+ is an integrated Masters course conducted by: Ecole Centrale de Nantes (France), Warsaw University of Technology (Poland), the University of Genoa (Italy), and Jaume I University (Spain).

It has been designed and accepted in the framework of the European Union ERASMUS-MUNDUS programme (ERASMUS+ H2020).

It has 7 associated partners: two Asian Institutions (KEIO University - Japan, SJTU - China) and five industrial partners (IRT Jules Verne - France, Airbus Group Innovations - France), BA Systemes - France, Robotnik - Spain, and SIIT - Italy).

The programme of study lasts two academic years (120 ECTS) split into four equally loaded semesters. The student has to spend the first two semesters in one European institution and the second two semesters in another European institution. Another mobility during the fourth semester to an Asian partner or to an industrial partner is possible.

The language of instruction is English, but local language and culture courses of the hosting countries are included in the programme of study. The aim of the first two semesters is to provide the students with a solid interdisciplinary background across the main areas of robotics (Cognition, Action, Perception). During the third semester, depending on the host institution, the student will deal with one or more of the following sectors: industrial robot systems, service robots (domestic, health, rehabilitation, leisure), intelligent vehicules and security robots. The fourth semester is dedicated to the Masters Thesis. The student carries out his/her research work under the joint supervision of two advisors from two different consortium institutions.

Students that graduate from the EMARO masters course obtain two masters degrees from the European institutions where they studied. The obtained degrees are officially recognised and give full access to PhD study programmes.

The Consortium delivers a Diploma supplement describing the nature, level, context, content and status of the studies that were pursued and successfully completed by the student.

The Masters is designed to promote a high-quality educational offer in the area of advanced and intelligent robotics. After graduation the students will have mastered the different areas of robotics (Mathematical modeling, Control Engineering, Computer Engineering, Mechanical design) in order to be able to deal with Robotics systems as a whole rather than just to concentrate on one particular area.

Although the EMARO+ programme is applied primarily within the context of robotic systems, the concepts covered can be applied to a much wider range of other engineering and economical systems. The career prospects for EMARO+ graduates are therefore excellent. They can be employed in many industrial and economical companies, as the courses are relevant to today’s high technology society.

Read less
The MSc Computational Finance will provide you with mathematical and computational skills required to solve real problems in quantitative finance. Read more
The MSc Computational Finance will provide you with mathematical and computational skills required to solve real problems in quantitative finance. Many areas of modern finance such as risk management and option pricing emphasise numerical and computational skills as well as an understanding of the mathematical background.

The programme brings together expertise from Mathematics and the Business School to ensure a balanced approach to many of the complex problems in modern quantitative finance.

On completion of the programme you will be able to review and implement complex financial models in a number of programming languages including C++, MATLAB and R.

Programme structure

Core modules

The compulsory modules can include; Methods for Stochastics and Finance; Analysis and Computation for Finance; Mathematical Theory of Optional Pricing; Introduction to C++; Computational Finance with C++; Numerical Finance; Research Methodology; Advanced Mathematics Project; Investment Analysis I; Investment Analysis II; Financial Modeling

Optional modules

Some examples of the optional modules are as follows; Topics in Financial Economics; Banking and Financial Services; Derivatives Pricing; Domestic and International Portfolio Management; Advanced Corporate Finance; Alternative Investments; Quantitative Research Techniques; Advanced Econometrics;

Read less
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. Read more

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.

Training and support

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.

Facilities

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.

Career opportunities

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.



Read less
The Department of Mathematics offers graduate courses leading to M.Sc., and eventually to Ph.D., degree in Mathematics. The Master of Science program aims to provide a sound foundation for the students who wish to pursue a research career in mathematics as well as other related areas. Read more
The Department of Mathematics offers graduate courses leading to M.Sc., and eventually to Ph.D., degree in Mathematics. The Master of Science program aims to provide a sound foundation for the students who wish to pursue a research career in mathematics as well as other related areas. The department emphasizes both pure and applied mathematics. Research in the department covers algebra, number theory, combinatorics, differential equations, functional analysis, abstract harmonic analysis, mathematical physics, stochastic analysis, biomathematics and topology.

Current faculty projects and research interests:

• Ring Theory and Module Theory, especially Krull dimension, torsion theories, and localization

• Algebraic Theory of Lattices, especially their dimensions (Krull, Goldie, Gabriel, etc.) with applications to Grothendieck categories and module categories equipped with torsion theories

• Field Theory, especially Galois Theory, Cogalois Theory, and Galois cohomology

• Algebraic Number Theory, especially rings of algebraic integers

• Iwasawa Theory of Galois representations and their deformations Euler and Kolyvagin systems, Equivariant Tamagawa Number
Conjecture

• Combinatorial design theory, in particular metamorphosis of designs, perfect hexagon triple systems

• Graph theory, in particular number of cycles in 2-factorizations of complete graphs

• Coding theory, especially relation of designs to codes

• Random graphs, in particular, random proximity catch graphs and digraphs

• Partial Differential Equations

• Nonlinear Problems of Mathematical Physics

• Dissipative Dynamical Systems

• Scattering of classical and quantum waves

• Wavelet analysis

• Molecular dynamics

• Banach algebras, especially the structure of the second Arens duals of Banach algebras

• Abstract Harmonic Analysis, especially the Fourier and Fourier-Stieltjes algebras associated to a locally compact group

• Geometry of Banach spaces, especially vector measures, spaces of vector valued continuous functions, fixed point theory, isomorphic properties of Banach spaces

• Differential geometric, topologic, and algebraic methods used in quantum mechanics

• Geometric phases and dynamical invariants

• Supersymmetry and its generalizations

• Pseudo-Hermitian quantum mechanics

• Quantum cosmology

• Numerical Linear Algebra

• Numerical Optimization

• Perturbation Theory of Eigenvalues

• Eigenvalue Optimization

• Mathematical finance

• Stochastic optimal control and dynamic programming

• Stochastic flows and random velocity fields

• Lyapunov exponents of flows

• Unicast and multicast data traffic in telecommunications

• Probabilistic Inference

• Inference on Random Graphs (with emphasis on modeling email and internet traffic and clustering analysis)

• Graph Theory (probabilistic investigation of graphs emerging from computational geometry)

• Statistics (analysis of spatial data and spatial point patterns with applications in epidemiology and ecology and statistical methods for medical data and image analysis)

• Classification and Pattern Recognition (with applications in mine field and face detection)

• Arithmetical Algebraic Geometry, Arakelov geometry, Mixed Tate motives

• p-adic methods in arithmetical algebraic geometry, Ramification theory of arithmetic varieties

• Topology of low-dimensional manifolds, in particular Lefschetz fibrations, symplectic and contact structures, Stein fillings

• Symplectic topology and geometry, Seiberg-Witten theory, Floer homology

• Foliation and Lamination Theory, Minimal Surfaces, and Hyperbolic Geometry

Read less
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. Read more

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

Why study Brain Networks and Neuronal Communication at Radboud University?

- 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.

Career prospects

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).

Our approach to this field

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

Radboud University Master's Open Day 10 March 2018



Read less
The programme in Econometrics, Operations Research and Actuarial Studies aims at the description and analysis of problems in economics, management and related areas using mathematical models. Read more
The programme in Econometrics, Operations Research and Actuarial Studies aims at the description and analysis of problems in economics, management and related areas using mathematical models.

In this degree, you will acquire research skills and knowledge of the most important models used. In addition, you will gain the ability to transform the outcome of these models in relevant proposals for application. You can choose from three profiles:

1) Econometrics is particularly concerned with the interpretation of data. Econometrics has applications in fields like Financial Economics, Consumer Behaviour and Macroeconomics.

2) Operations Research deals with the design, analysis and implementation of mathematical models for a wide range of logistic and financial decision-making problems. Fields of study are time schedules for railway systems, the management of supply chains and asset-liability.

3) Actuarial Studies focuses on managing and pricing uncertainty, mainly in the context of insurance. The skills and knowledge you develop are valuable when dealing with subjects like investment strategy, social security and pensions.

Why in Groningen?

The programme has three profiles to choose from and is attractive for research-oriented students. The emphasis is on the application of modeling to practical problems and how to extract useful information from available economic data. Besides, it is an internationally accredited programme, ensuring a high quality education that meets both the AACSB and EQUIS standards, which only one percent of universities reach worldwide.

Job perspectives

As a graduate, you can find work in finance, insurance, marketing or market research. You will be involved in market development, fund management, risk analysis or assessing the impact of advertising. The jobs offered to graduates by non-profit organizations involve the same type of work as those offered by commercial organizations. You can also find work with employer organizations, trade unions, consumer organizations and consultancy firms.

Because all our programmes are EQUIS and AACSB accredited, a standard which only one percent of universities reach worldwide, your degree will be highly valued on the labour market.

Linking education to research and career preparation

Our education is strongly rooted in business practice and society. Also right from the start of your degree programme attention is paid to academic research and preprofessional development. Since an analytical and critical mind and problem-solving capabilities are important qualities in any career our students aspire.

In collaboration with external partners we conduct research projects on e.g banking, local government, customer insights, leadership, energy, healthy ageing and lean operations.

Read less
There has never been a more exciting time to study the universe beyond the confines of the Earth. A new generation of advanced ground-based and space-borne telescopes and enormous increases in computing power are enabling a golden age of astrophysics. Read more

Program overview

There has never been a more exciting time to study the universe beyond the confines of the Earth. A new generation of advanced ground-based and space-borne telescopes and enormous increases in computing power are enabling a golden age of astrophysics. The MS program in astrophysical sciences and technology focuses on the underlying physics of phenomena beyond the Earth, and on the development of the technologies, instruments, data analysis, and modeling techniques that will enable the next major strides in the field. The program's multidisciplinary emphasis sets it apart from conventional astrophysics graduate programs at traditional research universities.

Plan of study

The MS program comprises a minimum of 32 credit hours of study. The curriculum consists of four core courses, two to four elective courses, two semesters of graduate seminar, and a research project culminating in a thesis.

Master's thesis

Typically following the first year, but sometimes initiated during the first year for well-prepared students, candidates begin a research project under the guidance of a faculty research adviser. A thesis committee is appointed by the program director and consists of the student's adviser and at least two additional members, one of whom must be a faculty member in the astrophysical sciences and technology program. The final examination of the thesis consists of a public oral presentation by the student, followed by questions from the audience. The thesis committee privately question the candidate following the presentation. The committee caucuses immediately following the examination and thereafter notifies the candidate and the program director of the results.

Curriculum

Astrophysical sciences and technology, MS degree, typical course sequence:
First Year
-Astronomical Observational Techniques and Instrumentation
-Astrophysical Dynamics
-Introduction to Relativity and Gravitation
-Graduate Seminar I, II
-Radiative Processes for Astrophysical Sciences
Choose one of the following:
-Mathematical Methods for the Astrophysical Sciences
-Statistical Methods for Astrophysics
-Stellar Structure and Atmospheres
Second Year
-Galactic Astrophysics
-Research and Thesis
-Extragalactic Astrophysics

See website for more details.

Other admission requirements

-Have a minimum undergraduate GPA of 3.2/4.0 in course work in mathematical, science, engineering, or computer subject areas.
-Submit official transcripts (in English) for all previously completed undergraduate and graduate course work.
-Submit two letters of recommendation.
-Submit scores from the Graduate Record Exam (GRE), and complete a graduate application.
-International applicants whose native language is not English must submit scores from the Test of English as a Foreign Language (TOEFL). A minimum score of 550 (paper-based) or 79 (Internet-based) is required. International English Language Testing System (IELTS) scores will be accepted in place of the TOEFL exam. Minimum scores will vary; however, the absolute minimum score required for unconditional acceptance is 6.5. For additional information about the IELTS, please visit http://www.ielts.org.
-For candidates lacking adequate academic preparation or for those who hold a bachelor's degree in an area other than those listed above, bridge and foundation course work may be necessary prior to full admission.

Additional information

MS to Ph.D. transfer:
Students making good progress in their course work and research project may be permitted, by program approval, to attempt the Ph.D. Qualifying Examination. Upon successfully passing the exam, students may choose to transfer to the Ph.D. program rather than pursue a terminal master of science degree. This is contingent on the availability of an adviser and research funding.

Read less
This Master of Science programme, taught entirely in English, aims at preparing high level professionals that can deal with a variety of problems common to all development and resource exploitation plans. Read more

Mission and Goals

This Master of Science programme, taught entirely in English, aims at preparing high level professionals that can deal with a variety of problems common to all development and resource exploitation plans. Their expertise will range from the knowledge of modelling of land and ecological systems, to acquisition and analysis of relevant data, geo-referencing and geo-processing, to pollution abatement technologies and reclamation plans. Students following this programme may either specialize in Geomatics or Environmental Engineering with particular emphasis on sustainable development and water resources.

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/environmental-and-geomatic-engineering/

Career Opportunities

In addition to the classic professional opportunities for Environmental and Land Planning Engineering, studying Geomatic Engineering in depth allows to work in national or local bodies involved in cartography, land registries and collection of land data or in the aerospace and ICT industries involved in the management of territorial databases. On the other side, graduates with a deeper knowledge in Environmental Engineering can also found opportunities in the field of international relations, large multinational corporations and in non-governmental organizations.

Presentation

See http://www.polinternational.polimi.it/uploads/media/Environmental_and_Geomatic_Engineering_02.pdf
This Master of Science programme, taught entirely in English, aims at preparing high level professionals that can deal with a variety of problems common to all development and resource exploitation plans. Their expertise will range from the knowledge of modeling of land and ecological systems, to acquisition and analysis of relevant data, geo-referencing and geo-processing, to pollution abatement technologies and reclamation plans. Students will increase their understanding of the functioning of ecosystems, learn how to assess the local and global environmental impacts of human activities, and apply advanced methods, techniques and models to identify, describe, quantify and develop integrated systems to support environmental decision-makers. The programme is organized around two main topics: Geomatics or Environmental Engineering, with particular emphasis on sustainable development and water resources. The first specialization aims at creating experts in surveying, monitoring, representing the land shape and processes in terms of information systems, while the second provides the future engineers with a clear understanding of sustainability issues and of their application in the current professional activities.

The programme is taught in English.

Subjects

- Mandatory courses:
Modeling and Simulation, Statistical Analysis of Environmental Data, Natural Resources Management, Environmental and Natural Resources Economy and Geographic Information Systems

Eligible courses:
1. Geomatics
Remote Sensing, Image Analysis, Satellite Navigation and Monitoring; Geophysical Prospecting;

2. Environmental Engineering
Hydraulic Engineering and River Basin Reclamation, Environmental Technology, Engineering and Cooperation for Global Development and Energy for sustainable Development.

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/environmental-and-geomatic-engineering/

For contact information see here http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/environmental-and-geomatic-engineering/

Find out how to apply here http://www.polinternational.polimi.it/how-to-apply/

Read less
Why choose the MSc in Business Analytics?. Do you want to be a professional analyst who understand both the technologies and the business?. Read more

Why choose the MSc in Business Analytics?

  • Do you want to be a professional analyst who understand both the technologies and the business?
  • Do you want to master the skills in making data-driven business decisions?
  • Do you want to learn the practical use of data visualization tools, statistical analysis tools, and big data technologies?

What is business analytics?

Business Analytics is the intersection of management science and machine learning in real world applications.

It offers new potential to improve financial performance, strategic management and operational efficiency.

Business Analytics is an increasingly critical component in preparing organizations to solve 21st-century business challenges and support data driven decision making.

Programme overview

Our MSc Business Analytics programme is a one year, full-time programme consisting of 6 core modules, and 2 elective modules from a choice of 7 elective modules.

The core modules are conducted via lectures, tutorials, and computer laboratory sessions. Students undertake the dissertation project in Business Analytics in collaboration with one of our international industrial partners.

Graduates of the programme will have gained the necessary skills and knowledge in a range of fields, including business operation, database, statistics, informatics, data analytics, machine learning and big data technologies in real-world business contexts.

Applicants for this programme are required to have at least a second class honours in the first division or international equivalent in any discipline, including business and management, and at least 10 credits equivalent value with significant mathematical/statistical content (However, this course is not suitable for students who have previously studied a significant amount of business analytics).

Teaching and Learning

Our learning environment is highly interactive and innovative with student-centred learning activities.

Other than examinations, our students will be assessed via essays writing, practical exercises, group and individual projects, and oral presentations.

The dissertation focuses on developing students’ skills in applying analytic techniques, communicating and solving the data analytics problem.

Career options for this degree

The area of business analytics is growing in financial sectors, customer services, enterprise optimization, and consumer marketing.

When our students graduate, they will be able to:

  • Find a job in the business firms that require the knowledge of big data and advanced analytic techniques.
  • Study the organisations, management, and international external environments.
  • Gain business insights and professional skills in data mining, data visualization, data management, process modeling, predictive and advanced analytics.
  • Develop the ability to optimize the business processes and management practice.
  • Contribute to business and society at large.

What are the potential careers of our graduates?

  • Business intelligence analytics,
  • Marketing analyst
  • Business systems analyst
  • Data scientist
  • Business consultant
  • Solution Architects


Read less
The systems science program emphasizes the complementary use of mathematical, computational and heuristic approaches to solving systems problems. Read more
The systems science program emphasizes the complementary use of mathematical, computational and heuristic approaches to solving systems problems. Students learn to analyze assumptions under which various methods are applicable with the aim of selecting methods that best fit the problem. The program emphasizes learning through classes that deal with systems modeling and simulation, systems analysis and synthesis, and the various problems associated with the simplification of overly complex systems to make them manageable, and includes such research areas as fuzzy logic; data analysis and knowledge discovery; uncertainty theories; generalized information theory; soft computing; intelligent control and robotics; decision making; and complex systems.

Recent doctoral graduate placements include: Industrial Engineer for Best Buy, Industrial Engineer for IBM Corporation, Assistant Professor at Middle East University (Jordan), Industrial Engineer for North Shore-LIJ Health System.

All applicants must submit the following:

- Online graduate degree application and application fee
- Transcripts from each college/university you have attended
- For PhD candidates, an MS in engineering or related field is desirable, but does not preclude admission for exceptional applicants
- Two letters of recommendation
- Personal statement (2-3 pages) describing your reasons for pursuing graduate study, your career aspirations, your special interests within your field, and any unusual features of your background that might need explanation or be of interest to your program's admissions committee.
- Resume or Curriculum Vitae (max. 2 pages)
- Official GRE scores

And, for international applicants:
- International Student Financial Statement form (PDF)
- Official bank statement/proof of support
- Official TOEFL, IELTS, or PTE Academic scores

Read less

Show 10 15 30 per page



Cookie Policy    X