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Masters Degrees (Mathematical Modeling)

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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

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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.

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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.

For graduate students who would like to live on campus, Jacobs University offers accommodation in four residential colleges. Each college has its own dining room, recreational lounge, study areas, and common and group meeting rooms. Please visit http://www.jacobs-university.de/study/graduate/campus-life for more information.

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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.

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As the technical sophistication of most professions increases, there is growing need for individuals capable of “speaking the language” of mathematics. Read more
As the technical sophistication of most professions increases, there is growing need for individuals capable of “speaking the language” of mathematics. Mathematicians increasingly are sought to probe and expand mathematical theory, as engineering and empirical science delve deeper into nature. Individuals also are needed to teach the math skills that have expanded into virtually every field. MTSU’s Master of Science in Mathematics gets students involved in both the understanding and creation of advanced mathematics through quality instruction, opportunities for research, and close faculty-student interaction. A General Mathematics concentration is aimed at students desiring a broad background in mathematics. The Industrial Mathematics concentration is designed for students interested in positions in industry or further graduate work in applied mathematics. A Research Preparation concentration, which requires a thesis, is intended for students wishing to pursue the Ph.D. in Mathematics.

Students may choose from three concentrations for the Master of Science (M.S.) in Mathematics: General Mathematics, Industrial Mathematics, or Research Preparat

Career

A majority of M.S. in Mathematics graduates go on to pursue their doctoral degrees at a number of universities. Several students have also entered Ph.D. programs at MTSU in either the Computational Sciences or the Mathematics and Science Education Ph.D. programs.

General Mathematics concentration students usually work in fields which require the specialized thinking skills that mathematicians develop but which do not necessarily require a highly specialized mathematics background.

Research Preparation curriculum gives students a strong background in what is called pure mathematics for a career in academics and mathematical research.

Industrial Mathematics students focus on applied mathematics to work in fields which make heavy use of mathematical modeling. Mathematicians work with programmers to develop highly specialized software tools for engineering and medical applications. Mathematicians help develop or enhance sophisticated models for understanding weather, chemical, biological, or economic processes; and mathematicians create entirely new mathematical tools to probe frontiers in physics, structural design, and other pursuits.

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The MSc in Smart Grid Demand Management (See http://www.postgraduate.hw.ac.uk/prog/msc-smart-grid-demand-management/ ) has been designed to progress students with an Electrical or Mechanical Engineering background to an expert in the understanding of a smart grid. Read more

Overview

The MSc in Smart Grid Demand Management (See http://www.postgraduate.hw.ac.uk/prog/msc-smart-grid-demand-management/ ) has been designed to progress students with an Electrical or Mechanical Engineering background to an expert in the understanding of a smart grid. By following a carefully selected set of courses covering energy resources (fossil and renewable), conversion technologies, electrical power generation, energy storage technologies, demand management, and energy economics. Graduates of this programme will be confident in all aspects of this subject. With a clear focus on smart Grid and Demand Management the programme provides;
- Knowledge and understanding of advanced scientific and mathematical principles relevant to the understanding, analysis and modelling of a smart grid.
- An understanding of fundamental facts, concepts, and technologies for demand management and energy storage.
- Knowledge and skill to apply engineering principles to design a system, component or process
- An ability to undertake independent research.
- Professional attitudes to implementation of safety and concepts embodied by sustainability.
- An ability to communicate effectively
- Familiarity with the application of relevant computer tools to the profession.

All aspects of the smart grid are integrated in a dedicated smart grid modelling course, which provides the mathematical and computational skills to model a smart grid. This course is unique to this programme and will give graduates the skills they need to enhance their career prospects.

The Scottish Funding Council has made available 20 scholarships covering fees only to students with Scottish backgrounds. 5 of these places are reserved for applicants to this programme in the first instance. The remaining places are spread over all our Energy based MSc programmes. There is no separate application process for this. If you are eligible, you will be considered automatically. You will be notified through the summer if you have been selected.

Scholarships available

We have a number of fully funded Scottish Funding Council (SFC) scholarships available for students resident in Scotland applying for Smart Grid Demand Management MSc. Find out more about this scholarship and how to apply http://www.hw.ac.uk/student-life/scholarships/postgraduate-funded-places.htm .

Programme content

Semester One - All courses are Mandatory
- B51ET Foundations of Energy
This course provides the foundations for the quantitative analysis of energy resources and conversion efficiencies through various technologies. It also places energy production and consumption into the wider field of environmental and socio-economic factors

- B51GE Renewable Energy Technologies
This course introduces the range of Renewable Energy resources together with established and emerging technologies. It provides the skills for a quantitative assessment of the Renewable Energy resources and the expected energy and power output from typical or specific installations.

- B31GA Electrical Power Systems
This course covers the operation of interconnected electrical power systems. Such interconnected power systems combine a number of different components, generators, transmission lines, transformers and motors, which must be appreciated to understand the operation of the interconnected system.

- C21EN Environmental and Energy Economics
This course introduces students to the core concepts and methods of modern economics, and environmental and energy economics in particular.

Semester Two – All courses are Mandatory
- B31GG Smart grid modeling
This course introduces the mathematical skills to model the operation of an electricity or energy network at a statistical and dynamical level, incorporating key elements of a smart grid, including technological constraints, economic drivers and information exchange.

- B31GB Distributed Generation
This course equips students with an understanding of the role of distributed generation in electrical energy networks. It provides students with an overview of distributed generation techniques and describes the contribution of distributed generation to network security. The course introduces the economics of distributed generation and the assessment of distributed generation schemes. It introduces students to the concept of intermittent sources and their contribution to capacity in electrical power systems and provides a detailed review of the reliability, fault and stability studies of distributed generation schemes.

- B51GK Demand Management and Energy Storage
This course provides students with an overview of demand-side management and its contribution to network capacity and security. It reviews energy storage technologies and their contribution to the integration of renewable generation and the operation of large-scale electrical network. It introduces students to the methods of interfacing energy storage mechanisms to electrical networks. The course describes the contribution energy storage technology can make to transportation and industry

- B81EZ Critical Analysis and Research Preparation
This course provides research training and addresses literature review skills, project planning, data analysis and presentation with a focus to critically discuss literature, and use data to support an argument.

- B31VZ MSc Project
An individual project led by a research active member of staff or an industrial partner on a topic relevant to smart grid technology, demand management technologies or approaches or smart grid/ electricity / energy systems modelling.

English language requirements

If you are not from a UKBA recognised English speaking country, we will need to see evidence of your English language ability. If your first degree was taught in English a letter from them confirming this will be sufficient. Otherwise the minimum requirement for English language is IELTS 6.5 or equivalent, with a minimum of 5.5 in each skill.

The University offers a range English language courses (See http://www.hw.ac.uk/study/english.htm ) to help you meet the English language requirement prior to starting your masters programme:
- 14 weeks English (for IELTS of 5.5 with no more than one skill at 4.5);
- 10 weeks English (for IELTS of 5.5 with minimum of 5.0 in all skills);
- 6 weeks English (for IELTS 5.5 with minimum of 5.5 in reading & writing and minimum of 5.0 in speaking & listening)
- 3 weeks English refreshers course (for students who meet the English condition for the MSc but wish to refresh their English skills prior to starting).

Find information on Fees and Scholarships here http://www.postgraduate.hw.ac.uk/prog/msc-smart-grid-demand-management/

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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;

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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

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Memorial’s Department of Mathematics and Statistics is one of the institution’s youngest – half our faculty have been hired since 2005 – and most recognized – 20% of us hold the university's highest rank, University Research Professor. Read more
Memorial’s Department of Mathematics and Statistics is one of the institution’s youngest – half our faculty have been hired since 2005 – and most recognized – 20% of us hold the university's highest rank, University Research Professor. Although the Department of Mathematics and Statistics has offered graduate degrees for many years, the past decade has seen an explosion of interest in these programs, adding invaluable new voices to the Department's community of researchers.

Among the research areas studied by our faculty and graduate students are the following: Numerical Analysis and Scientific Computation, Analysis, Combinatorics, Topology, Applied Statistics, Differential Equations and Dynamical Systems, Mathematical Models and Modeling / Numerical Optimization, Algebra, Mathematical Physics, Mathematical Statistics, and Fluid Mechanics.

MAS -The MAS is a highly structured program incorporating both courses and practicum (an applied statistics project). A full-time student with an honours degree in statistics normally requires two years to complete the degree requirements. This program accepts new students only in the Fall semester.

MSc – The MSc program has two options. The research-based program consists of graduate courses and a thesis. A full-time student is expected to complete the degree requirements in two years. The course-based program is an intensive three semester (one-year) program based on graduate courses and a project. This program accepts new students only in the Fall semester.

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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 enrol 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

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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.

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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.

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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/

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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

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The MERM Program is dedicated to advancing the science and practice of measurement, program evaluation, and research methodology in the social and behavioral sciences (e.g., Psychology, Education, Quality of Life Studies, Health Studies). Read more
The MERM Program is dedicated to advancing the science and practice of measurement, program evaluation, and research methodology in the social and behavioral sciences (e.g., Psychology, Education, Quality of Life Studies, Health Studies). For more than 25 years, the faculty and students of the MERM program have been contributing to its international reputation as a leader in the field. Our students and faculty have done research in human and health services, psychological, educational, community and health settings. The essential difference between the MA and MED in MERM is that the MED is wholly course based whereas the MA requires two fewer courses but the completion of a master's thesis. As such completion of a master's thesis is viewed as a prerequisite for the pursuit of doctoral studies in most institutions.

Quick Facts

- Degree: Master of Arts (research-based), Master of Education (course-based)
- Specialization: Measurement, Evaluation and Research Methodology
- Subject: Education
- Mode of delivery: On campus
- Faculty: Faculty of Education

Program Overview

The graduate program in Measurement, Evaluation, and Research Methodology (MERM) offers Ph.D., M.A., and M.Ed. degrees. The MERM area focuses on the preparation of graduate students to be methodological and measurement specialists. We strive to promote in our research, student supervision, and teaching the highest standards of measurement and research methodology in our discipline. Upon degree completion, our master's and Ph.D. students are employed as university faculty, data analysts, research scientists, test developers, directors of research in school districts or government, research consultants, assessment and testing specialists in business, industry, and education, certification and credentialing professionals, and psychometricians at research and testing organizations.

MERM students generally fit into one of three categories:
1. Students who have an applied interest in educational and psychological measurement, program evaluation, or data analysis. Although they may have some preparation in measurement and data analysis in their undergraduate studies, this is not always the case. These students are more oriented toward the use of measurement, program evaluation, or data analysis techniques in fields such as education, psychology, or health.

2. Students who have strong theoretical interests in technical problems related to areas such as test theory, item response theory, assessment, statistics, factor analysis, and multi-level modeling. Although some of these students come to the Program with some statistical and/or mathematical background, often obtained while studying in another social science discipline such as psychology or sociology, other students arrive with degrees in statistics or mathematics as well.
3. Students who find it compatible with their career goals to give equal attention to both applied and theoretical aspects of this program.

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