Faculty

Faculty of Graduate Studies

Program Description

- Program Vision:To develop the concepts of science research in mathematics for the graduate students in the master programs of mathematics and/or computational mathematics; to enhance the quality of the academic, research and technical levels of our mathematics master graduates to contribute to the theoretical and applied fields and to become globally reputable at the level of quality and higher education.

- Program Mission:As part of An-Najah National University, the department of mathematics has adopted the mission of the university related to mathematics: to offer higher education in mathematics to Palestinian students and to support the scientific research in the field of mathematics in order to bridge the gap and upgrade the knowledge of the Palestinian students.... [-]

According the Guide to choosing a master's program 2016 the master Industrial and Applied Mathematics is the best applied mathematics master program of the Netherlands!

For five years TU/e was the best university of technology, in 2016 TU/e is the second best university of technology.

The figures for the survey of Master’s programs are 70 percent based on the ratings by students and 30 percent on those by the NVAO (Accreditation Organization for the Netherlands and Flanders).

This degree program focuses on mathematical models, advanced simulations and computer calculations. These means and methods are increasingly finding use in new technological developments and this Master's program therefore offers an excellent start to your contribution to society's technological needs, both now and in the future. ... [-]

This programme, taught jointly by the School of Mathematics and the Department of Economics, provides the skills that will enable technically able graduates (including in mathematics, science and engineering) to apply their quantitative training to financial analysis.

In most cases, we expect that graduates from the Masters will take positions in quantitative analysis (or similar) in major financial institutions, such as in the City. The programme also prepares you to pursue further studies in academia.

A good Honours first degree (or overseas equivalent) in Mathematics or a related numerate subject such as Physics or Engineering, or an appropriate Joint Honours degree in industrial mathematics.... [-]

Without mathematical tools, there would be no internet search engines, no weather forecast, no security in banking. Mathematical models and techniques play an important role in automatic pilot technologies, the design of quieter cars, the optimisation of wind farms, medical scanners, etc. At first sight, these applications have little in common, but they all process a large amount of data. Mathematics is becoming critical in many applications because of increasing model complexity and higher demands from customers and the environment.

The Master of Science in Mathematical Engineering is unique in Flanders and is supported by high-quality research that has led to several spin-off companies.... [-]

Mathematics has always been crucial to many different forms of scientific inquiry. Now, more than ever, advances in scientific research are found to benefit from the formulation and analysis of quantitative mathematical models. Successful analysis of a model leads to a better understanding of the role and interaction of key components in the system being studied and provides a predictive tool for improving system performance. The sequence of model development, analysis, simulation, and interpretation of data demands the application of sophisticated modern and classical mathematical methods. With society's growing use of mathematically oriented innovation, career opportunities for applied mathematicians are better than ever... [-]

Course Structure: Main Subjects Basics in the following subjects for all students: Algebra and number theory, Analysis, Geometry, Probability and statistics, Informatics and operational research.

Specific subjects for all students: Discrete mathematics, Operations research, Applied analysis, Stochastic processes, Theory of algorithms.

Specific subjects in the different subprograms: Mathematics of Engineering:Numerical analysis, solutions of differential equations Linear models and applications Numerical mathematics Stochastic processes Mathematics of Finance:Statistics Stochastic systems Financial science Mathematics of Computer Science:Data mining Mathematical theory of networks Theory of complexity Design, analyzing and implementation of algorithms and data structures Cryptography and data security Information theory Codes and symmetric structures... [-]

Offered in: CHICAGO

Applicants for admission to graduate work in mathematics must meet the general requirements for admission to graduate work in the University. Students must have completed an undergraduate degree, not necessarily in mathematics, but must have completed linear algebra and at least three semesters of calculus (equivalent to Math 231, Math 232 and Math 233 at Roosevelt) with grades of C- or higher and with a B (3.0) average.

Following acceptance to the program, students meet with the graduate advisor to plan a program of study. All students are required to obtain approval for their course selections each semester. All courses presented for the degree must be approved by the graduate advisor. Up to nine semester hours of transfer credit may be considered for the program.... [-]

Techniques from a wide range of mathematical fields are necessary to cope with the challenges arising in numerous applications: Mathematical imaging improves diagnostic accuracy in life sciences and engineering and has become an indispensable tool for complex surgeries. Telecommunication and modern payment methods propose challenging problems for data encryption. The recent changes in economy require novel approaches to risk management in finance and insurance industry. Analytical and computer-aided techniques allow to analyse and simulate mathematical models of steadily increasing complexity in natural sciences, life science, economical sciences and engineering.

The master's programme Mathematics offers the opportunity to specialise in one of the following focus areas:... [-]

Our Master’s programme offers you a thorough, theoretical education while maintaining a clear perspective on concrete applications such as ensuring efficient logistics, better computer information systems and a deeper understanding of natural phenomena.

Our Master’s study is closely related to the research being carried out in the Institute for Mathematics, Astrophysics and Particle Physics (IMAPP). You can choose from the following specialisations:

The programme is built up as follows:

Goals and ContentsThe Master in Computational Science (MCS) program is an exciting new approach to understanding complex systems in a broad range of knowledge areas including the natural and physical sciences, the social sciences, the life sciences, management science and medical science. By integrating computer simulation, mathematical modeling, numerical analysis, and data analysis, recent developments in computational science are making possible what was unthinkable only a few years ago. Problems that are inaccessible to traditional experimental and empirical methods can now be addressed thanks to new techniques in algorithmic modeling and the increasing speed of modern supercomputers.The MCS program combines courses in computer science, mathematics, statistics, and data analysis to build application-oriented competencies in simulation science and data science. Students enrolled in the MCS program acquire valuable and much sought-after analytical skills through direct involvement in modeling projects addressing a wide range of real-world problems spanning many interdisciplinary applications.The program introduces students to the university's blend of innovative scientific research and real-world applications, thus providing an excellent foundation for a career in industry and science. Students may emphasize numerical software, mathematical modeling, deterministic and probabilistic theory, computer simulation, or data science. Our graduates are ready to pursue professional careers in research, engineering, scientific computing, data science, data and business analytics, computational medicine, and information systems.For the master's thesis, students can participate in ongoing research projects at the ICS, the IDIDS, or the Faculty of Informatics. Topics include Numerical Analysis, High-Performance Computing, Geo-Science, Computational Engineering, Optimization, Computational (Bio-) Mechanics and Fluid-Mechanics,... [-]

The department offers two Mathematics master's degrees: Master's of Arts in Mathematics and Master's of Science in Applied Mathematics. Full-time students typically complete the program in two years; part-time students typically take three years. The Columbian College of Arts and Sciences has an upper limit of four years to complete the degree requirements. If endorsed by the department, extensions may be granted upon petition to the Dean.

The Master's of Science in Applied Mathematics requires 30 credit hours of approved coursework divided between mathematics and one of the following areas of application: physics, computer science, statistics, operations research, economics, engineering (civil, electrical, mechanical, or systems). At most 12 of the required credit hours can be outside mathematics. Students must petition and obtain the approval of the graduate committee in order to register for courses outside the department.... [-]

MSc Econometrics and Operations Research: Mathematical Economics (full-time)

Mathematical methods can be used to solve a whole range of business problems, from a company’s finances to the organisation of its people. In order to do this strategically, the Mathematical Economics track looks at theories and models that can help you make the right decisions.

What will you learn?

Mathematical Economics is certainly a theoretical track. But it’s also about solving real business problems, which means that you’ll learn about more than just the academic theories. You’ll also learn about business issues such as resources (both human and material), finance and organisational structure (both internal and external).... [-]

Our Industrial Mathematical Modelling MSc is designed to help you develop the mathematical modelling skills and techniques increasingly highly sought after within industry and commerce.

The Industrial Mathematical Modelling MSc enables you to explore mathematical models of real-world processes and their formulation, with a strong emphasis on how these techniques can be applied in industry.

A key feature of the Industrial Mathematical Modelling programme is working in small groups to solve real-life problems using mathematical models, such as estimating the loss of heat from a warehouse. Another unique aspect is our Advanced Reliability module, designed to show how statistics can be applied to industrial problems to support the development of strategies for the replacement of engineering parts before they break.... [-]

The Master of Science (M.S.) in STEM Education program prepares educators to work in the development and implementation of research, curriculum materials, and educational activities in formal and informal Science, Technology, Engineering, and Mathematics (STEM) Education settings, such as schools, research centers, museums, industry, cultural institutions, and community agencies. It also prepares future candidates for Ph.D. programs.

The M.S. program enrolls a maximum of 15 students per year and admits candidates with backgrounds in mathematics, biology, chemistry, physics, technology, engineering, education, psychology, child development, cognitive science, and other related areas that demonstrate a commitment to understanding the issues and challenges involved in the research and practice of mathematics education, science education, or engineering education. Students with strong backgrounds in physics may also consider the Physics Education track, which we offer in collaboration with the Department of Physics & Astronomy.... [-]

The M.Sc. in Stochastics and Data Science is a two-year graduate course that aims at preparing students with a modern education in probabilistic, statistical and computational methods.

Inspired by the best programs in Data Science recently started in the USA and Europe, this course brings together the expertise of three Departments of the University of Torino and their research groups in Probability, Statistics and Computer Science, and is currently the only offer of this type in Italy to award a degree in Mathematics.

The Program is entirely taught in English and will provide students with a solid knowledge of key topics in Applied Mathematics, Probability, Statistics and Machine Learning. These are nowadays essential tools for performing mathematical modeling under uncertainty and for analyzing complex, high dimensional datasets with a deep mathematical understanding of the underneath structures.... [-]