Masters Programs in Mathematics

Compare 52 Masters Programs in Mathematics

Mathematics

Have you always had a head for Mathematics? Then you should consider finding out more about that life-long passion. Here are a number of different Master in Mathematics programs you can take that will help you gain a wider understanding of Math.

Mathematics is a broad field, and a Master in Mathematics means you can take degrees in anything from Modeling, Financial Mathematics, and Computing to Logic and Statistics. There are several programs so if you are looking to widen your horizons, a Master in Mathematics can also help supplement knowledge of science, including Physics, Chemistry and Biology. Students seeking a Master in Mathematics must have the appropriate educational background and experience necessary for these challenging programs.

There are a number of opportunities here for you that can lead to some exciting career prospects in anything from Computer Technology to Finance. The sky is the limit with a Master in Mathematics and you can find your degree by browsing the programs below!

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Master in Applied and Industrial Mathematics

Towson University - College of Business & Economics
Campus Full time September 2017 USA Towson

Towson's Master of Science (MSc.) in applied and industrial mathematics (APIM) prepares you for high-demand careers in industry, government and academia. The APIM program emphasizes mathematical modeling, numerical computations, chaotic dynamics, queuing systems, financial systems and statistical analysis. [+]

Masters in Mathematics. Why Earn a Master's Degree in Applied and Industrial Mathematics? Towson's Master of Science in applied and industrial mathematics (APIM) prepares you for high-demand careers in industry, government and academia. The APIM program emphasizes mathematical modeling, numerical computations, chaotic dynamics, queuing systems, financial systems and statistical analysis. You will apply your knowledge outside of the classroom in a variety of research and internship opportunities. A Degree that Works The graduate program emphasizes numerical, algorithmic and computational problem-solving methods, and prepares you for careers in operations research, stochastic modeling, financial data analysis, statistics and more. The Applied and Industrial Mathematic Program offers two tracks. In the APIM you choose to focus your studies in either Differential Equations/Optimization or Applied Statistics/Mathematical Finance. If you prefer to study part-time you can take advantage of the program's flexible evening schedule. Advance Your Career Unlike most graduate programs in mathematics, Towson's applied master's gives you hands-on training through capstone coursework and required applied research projects. You will gain professional experience and learn to apply your skills in a two-term intern¬ship. Internship opportunities include projects in local industry or government and on-campus projects with faculty. Take the Lead With access to Towson's innovative Applied Mathematics Lab (AML), M.S. you gain leadership experience while working with undergraduates and faculty on research projects sponsored by corporations and government agencies. Past sponsors include Westinghouse Electrical Corporation, Citicorp of Maryland, Blue Cross-Blue Shield, Bell Atlantic, the Science Application International Corporation and the National Institute of Justice. Application... [-]

Master In Education Sciences - Teaching Of Mathematics And Physical Sciences

University of Nicosia
Campus Full time 3 semesters September 2017 Greece Athens Cyprus Nicosia + 2 more

The purpose of the program is twofold. On the one hand, help the student to acquire deep knowledge in the field of specialization through (a) the monitoring of educational courses in an advanced level, (b) study the relevant literature, and (c) interaction with Faculty and other students. [+]

Duration (years): 1.5 years Qualification Awarded: Education: Science Teaching of Mathematics and Science Education (MEd, 1.5 years or 3 semesters) Level of Qualification: 2nd cycle (Masters Degree) Language of Instruction: Greek Mode of Study: Full and part-time Minimum Credits: 30 Minimum ECTS Credits: 90 Profile of the Programme: 7.1 Purpose The purpose of the program is twofold. On the one hand, help the student to acquire deep knowledge in the field of specialization through (a) the monitoring of educational courses in an advanced level, (b) study the relevant literature, and (c) interaction with Faculty and other students. On the other, the program aims at fostering research skills through (a) the monitoring of specific quantitative and qualitative research courses, (b) small scale investigations in the various courses and / or drafting Master Thesis, and (c) participation in seminars / conferences research content. In general, the overall aim of the program is to help the student to become an independent thinker and scientist educator. 7.2 Objectives 1. To monitor the progress of modern research in their area and collaborate with colleagues to explore issues and problems facing the educational community. 2. Identify and / or produce and test relevant teaching materials and to disperse the teachers of their specialty. 3. To undertake action research and communicate their findings to the school site and in the wider community, eg lectures seminars or otherwise. 4. To serve as reference people, as to the specific items to colleagues both at school level and in the... [-]

Master's Degree In Computational Mathematics

Jaume I University (Universitat Jaume I)
Campus or Online Full time 1 - 4 years September 2017 Spain Castellón

The overall aim of the course is to train in Computational Mathematics, a comprehensive and integrated manner, professionals in the field of mathematical modeling of problems in the industry and company. The profile is entitled versatile, combining a solid mathematical basis with an excellent technical background in computer science and is prepared for the use of sophisticated tools with the ability of a mathematical abstraction. [+]

Masters in Mathematics. The overall aim of the course is to train in Computational Mathematics, a comprehensive and integrated manner, professionals in the field of mathematical modeling of problems in the industry and company. The profile is entitled versatile, combining a solid mathematical basis with an excellent technical background in computer science and is prepared for the use of sophisticated tools with the ability of a mathematical abstraction. Has ability to lead consultants, financial and industrial consulting, computer centers, etc.. Also, depending on the specialty chosen, you will be able to research in pure and applied mathematics and computer science, or to follow a career path in the company. Coordination: Vicente Martinez and Manuel Sanchis. Department of Mathematics. UJI. Number of credits: 60 ECTS credits Duration: one academic year (October 2017 / July 2018) Method: face / distance (October 2017 / June 2018) Language of teaching: Spanish Price: pending publication (2016: € 46.20 / credit) [-]

Master in Applied and Computational Mathematics

KTH Royal Institute of Technology
Campus Full time 2 years September 2017 Sweden Stockholm

Students from the Master’s programme in Applied and Computational Mathematics will become skilled applied mathematicians, well-prepared for advanced industrial positions or continued graduate studies. The programme contains three tracks: Mathematical [+]

Students from the Master’s programme in Applied and Computational Mathematics will become skilled applied mathematicians, well-prepared for advanced industrial positions or continued graduate studies. The programme contains three tracks: Mathematical Statistics and Financial Mathematics, Computational Mathematics and Optimisation and Systems Theory. Programme outline The programme consists of foundation courses that are mandatory for all students, and once the individual specialisation track is chosen, there are relevant required courses within that area as well. Within the Mathematical Statistics and Financial Mathematics track students are provided with the ability to analyse and model situations where randomness and uncertainty are common and applicable in several areas. The Computational Mathematics track contains courses providing knowledge of design, analysis and application of numerical methods for mathematical modeling, usable in computer simulations catering to both research and prototyping. Finally, the Optimisation and Systems Theory track focuses on the ability to provide optimal solutions within certain restraints, applicable in areas such as economics, operation analysis, biology and robotics, where these dynamic systems are modeled and controlled with assets gained from the systems theory area. Degree project The project may be carried out in an academic or industrial environment in Sweden or abroad. Students are welcome to discuss project ideas with the staff at the mathematics department, but are also encouraged to seek other contacts, in the academic world and in industry, to identify suitable projects. The result of this thesis work is provided as a written report and as a presentation at a seminar. Career prospects Advanced... [-]

Master in Mathematics: Mathematics for Information Technologies

Charles University Faculty of Mathematics and Physics
Campus Full time 2 years October 2017 Czech Republic Prague

This Master Program focuses on deeper knowledge of various mathematical disciplines and their algorithmic aspects. The student can get specialized either in Mathematics for Information Security or in Computer Geometry. [+]

Masters in Mathematics. This Master Program focuses on deeper knowledge of various mathematical disciplines and their algorithmic aspects. The student can get specialized either in Mathematics for Information Security or in Computer Geometry. The direction Mathematics for Information Security is focused on deepening the theoretical knowledge of number theory, probability theory, theory of error correcting codes, complexity theory, theory of elliptic curves, and computer algebra applied to some of these subjects. Attention is also given to practical aspects such as internet security, standards in cryptography, and legal aspects of data security. The direction Computer Geometry deepens theoretical knowledge in various algebraic and geometric subjects together with their applications in geometry of computer vision and robotics, computer graphics and image processing, optimization methods, and numerical linear algebra. Entrance examination – Master's programme Applicants who will not sufficiently demonstrate the necessary background listed above by 9 May 2016, or with their application, will be invited to take the entrance examination in Prague. The entrance examination for a Master's programme at the Faculty of Mathematics and Physics at Charles University consists of four problems, each worth 25 points. In case of an incomplete solution a proportional number of points will be given. The maximum total score is 100. The minimum score for admission is 40 points out of 100. Depending on the study programme and study branch, the examination has the following structure: Mathematics (4 problems) Master’s Entry Requirements The goal of the admissions review process is to select from the pool of... [-]

Master in Statistical Learning Theory

Higher School of Economics
Campus Full time 2 years September 2017 Russia Moscow

This programme stands at the crossroads of various disciplines of modern mathematics and computer science, including statistics, optimization, learning theory, information theory, complexity theory, as well as at the intersection of science and innovation in the field of modern information technology. Leading experts at HSE and Skoltech jointly provide instruction in this unique research-driven programme. [+]

Programme Overview This programme stands at the crossroads of various disciplines of modern mathematics and computer science, including statistics, optimization, learning theory, information theory, complexity theory, as well as at the intersection of science and innovation in the field of modern information technology. Leading experts at HSE and Skoltech jointly provide instruction in this unique research-driven programme. Students participate in one or more working groups (research seminars), where they determine focus areas for an initial survey report and then solve challenges at the intersection of cutting-edge research and technology in statistical learning theory. These seminars are built on teamwork, as the tasks undertaken are so complex that they can’t be solved by one person alone. Students learn how to effectively collaborate, bringing together their diverse collective skills, competencies, and experiences to determine successful solutions for complicated issues. Programme courses are taught by leading HSE experts, including globally renowned scholars such as Dr. Yurii Nesterov, Dr. Denis Belomestny, Dr. Dmitry Vetrov, Dr. Andrei Sobolevski, Dr. Alexey Naumov, and Dr. Quentin Paris. Lectures are also delivered by Skoltech professors including Dr. Ivan Oseledets, Dr. Viktor Lempitsky, Dr. Evgeny Burnaev, and Dr. Yury Maximov. This team is rather young, but its members have already made significant research achievements. The programme actively cooperates with the Russian Academy of Sciences Institute for Information Transmission Problems, as well as with relevant faculties at Moscow State University and the Moscow Institute of Physics and Technology. Graduates go on to work for major Russian and international companies and... [-]

MMathStat - Mathematics and Statistics

University of Kent, School of Mathematics, Statistics & Actuarial Science
Campus Full time 4 years September 2017 United Kingdom Canterbury

This stimulating four year programme provides opportunities for students to develop and demonstrate key mathematical and statistical knowledge and understanding and culminates with Master's level topics. [+]

Masters in Mathematics. MMathStat - Mathematics and Statistics This stimulating four year programme provides opportunities for students to develop and demonstrate key mathematical and statistical knowledge and understanding and culminates with Master's level topics that draw upon the School's highly rated research expertise. Entrants to the programme in 2014-15 who meet the AAA entry requirement will be entitled to an annual bursary of £3,000, comprising of £2,000 from the University and £1,000 from the School. The MMatStat course is aimed at students who have a strong interest in pursuing a deeper study of mathematics and statistics with the flexibility to choose a wide range of optional modules to allow those who wish to specialise in a particular area the opportunity to do so. The programme provides opportunities for students to develop and demonstrate key mathematical and statistical knowledge and understanding and will prepare successful students with the depth of mathematical and statistical knowledge to enter postgraduate studies at the doctorate level in mathematics, statistics and other closely related subjects. A year of Masters level study in Stage 4 gives students the opportunity to explore more advanced topics, which draws on the School's highly rated research expertise. Independent rankings Mathematics at Kent was ranked joint 4th for graduate prospects in The Complete University Guide 2013. Careers Students studying this degree programme will develop a broad range of skills and mathematical and statistical understanding that are highly sought after by employers and which open up a wide variety of careers. School of... [-]

Master in Mathematics

Vrije Universiteit Amsterdam
Campus Full time 2 years September 2017 Netherlands Amsterdam Rotterdam + 1 more

The Master’s programme in Mathematics at Vrije Universiteit Amsterdam provides you with an opportunity to specialize in one area while further deepening your... [+]

Master in Mathematics

 

Mathematics is a vibrant, multifaceted and versatile field, in which the focus is on the study and development of techniques to tackle pure and applied mathematical questions. Often, the dividing line between theory and practice is merely an illusion. Mathematical theory, developed for a specific problem, often finds its way into unexpected  applications. This is the strength and beauty of mathematics, a discipline which is by definition infinite, and where new paths are always waiting to be explored. The Master’s programme in Mathematics at Vrije Universiteit Amsterdam provides you with an opportunity to specialize in one area while further deepening your mathematical knowledge in general.... [-]


Master In Mathematics Teaching Methodology

Grupo Tiradentes
Campus Full time 18 months March 2018 Brazil Aracaju

The course provides a consistent methodological theoretical basis of the teaching of mathematics education in the current context enabling the formation of a reflective teacher and researcher. [+]

Masters in Mathematics. Differentials Course The course provides a consistent methodological theoretical basis of the teaching of mathematics education in the current context enabling the formation of a reflective teacher and researcher. It also enables to acquire a good knowledge of the teaching-learning theories in order to adapt them to the mathematical content. Thus, teachers who teach in primary and secondary education can reflect on new teaching methodology proposed Mathematics, ensuring consistent practice with the latest research in the area. Finally, the course aims to train a teacher-researcher able to question the programs and existing teaching sequences. General objective Provide a consistent methodological theoretical basis of the teaching of mathematics education in the current context enabling the formation of a reflective teacher and researcher. Specific objectives • Acquire a good field of teaching and learning theories in order to adapt them to the mathematical content; • Enabling teachers who teach in primary and secondary reflections on new teaching methodology proposed Mathematics, ensuring consistent practice with the latest research in the area; • Form a teacher-researcher able to question the programs and teaching sequences TARGET AUDIENCE licensed professionals in Mathematics, Economics, Accounting and related area. METHODOLOGY The teaching methodology is at the discretion of each teacher, which may adopt different teaching strategies, defined in the respective educational programs (Education Plans), privileging case studies; games and simulations; conferences; lectures; seminars; directed studies; group work; practical classes in the laboratory; discussions and exchanges of experience and reading texts previously available. [-]

Master of Mathematical Sciences (Advanced) (MMS)

The Australian National University | Science
Campus Full time 2 years January 2018 Australia Canberra

This degree is intended to enable students to upgrade their expertise in the mathematical sciences either as a route to further study of mathematical sciences or to upgrade their quantitative skills in areas such as the biological sciences and computational science that are rapidly becoming more reliant on advanced techniques from the mathematical sciences. [+]

A single two year graduate degree offered by the ANU College of Physical and Mathematical Sciences ANU is ranked number one in Australia for maths teaching and research*. We offer our students small class sizes and access to some of the best mathematicians in Australia, currently including 15 fellows of the Australian Academy of Sciences, two fellows of the Royal Society, ten recipients of the Australian Mathematical Society Medal and three ARC Laureate Fellows. Our researchers have access to up-to-date computing facilities including the National Computational Infrastructure supercomputer. We fulfil both a national and international role as a “research institute” in the mathematical sciences, working cooperatively with the Australian Mathematical Sciences Institute (AMSI) and a number of international centres. This degree is intended to enable students to upgrade their expertise in the mathematical sciences either as a route to further study of mathematical sciences or to upgrade their quantitative skills in areas such as the biological sciences and computational science that are rapidly becoming more reliant on advanced techniques from the mathematical sciences. Learning Outcomes Upon successful completion, students will have the skills and knowledge to: Explain the fundamental concepts of a chosen research topic and its role in modern mathematics and applied contexts; Systematically identify relevant theory and concepts, relate these to appropriate methodologies and evidence, and draw appropriate conclusions; Demonstrate capacity for mathematical reasoning through analyzing, proving and explaining concepts from the chosen research area; Engage in systematic discovery and critical review of appropriate and relevant information sources;... [-]

Master in Applied Mathematics and Stochastics

Novosibirsk State University
Campus Full time 2 years September 2017 Russia Novosibirsk

This is a two-year English-taught programme at the Master level. It is aimed at training and developing research skills in a number of areas of modern mathematics and statistics, and in their applications. At the end of the studies, students are awarded [+]

Masters in Mathematics. This is a two-year English-taught programme at the Master level. It is aimed at training and developing research skills in a number of areas of modern mathematics and statistics, and in their applications. At the end of the studies, students are awarded a Master Degree from Novosibirsk State University, with an approval by the Russian Ministry of Science and Education. The programme was started in October 2014 in two directions. These were Discrete Mathematics and Combinatorial Optimization, and Numerical Statistical Modelling. GENERAL OVERVIEW. For the year 2017/2018 we propose the three main directions: - Numerical Statistical Modelling, - Numerical Methods, - Discrete Mathematics and Combinatorial Optimization, with a number of applications that include actuarial science, information security, and transport logistics. As well, in 2017/2018 we expect to expand the list of directions towards mechanics and mechanical engineering. The Programme is research-oriented. Each semester a student is supposed to devote half of the time to a research project, to be done at one of institutes of the Russian Academy of Sciences. The 2nd year of studies is completed by a Master Dissertation. Lecture courses and research supervision will be provided by professors of the Novosibirsk State University and leading researchers from institutes of the Russian Academy of Sciences. The lists of prospective courses, of potential lecturers and supervisors, and further related details may be found at our webpage. ACCOMMODATION: students will have an option of accommodation in a modern student's hostel with a low living cost. FORMAL ENTRANCE... [-]

M.Sc. in Stochastics and Data Science

University of Turin
Campus Full time 2 years September 2017 Italy Turin

The M.Sc. in Stochastics and Data Science is a two-year course that aims at preparing a new generation of data scientists, with strong mathematical skills and a modern education in statistical and computational methods. [+]

INTRODUCTION One of the leading job figures of the 21th century is going to be that of data scientist. Jobs analysts have been ranking Mathematicians, Statisticians and Data Scientists among the best and most requested jobs: Harvard Business Review: Data Scientist: The Sexiest Job of the 21st Century; Glassdoor: Data Scientist rated as the no. 1 job in 2016; Forbes: number of Data Scientists doubled over the last four years; McKinsey: Big data, the next frontier for innovation, competition, and productivity; LinkedIn ranks Statistical Analysis and Data Mining as the hottest skill in 2014; CareerCast ranks Mathematician and Statistician among the top 3 jobs in 2014; New York Times: Bayesian statistics are rippling through everything from physics to cencer research, ecology to psychology. The M.Sc. in Stochastics and Data Science is a two-year graduate course that aims at preparing students with a modern education in advanced 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 and international standing of three different departments of the University of Torino to create a unique chance for obtaining a solid degree in Data Science at low university fees. The Program is entirely taught in English and will also feature course modules taught by visiting professor who are internationally recognised experts of their respective areas. Graduates in Stochastics and Data Science will possess a solid knowledge in key topics of Applied Mathematics, Probability, Statistics, Stochastic Processes, Computer Science... [-]

Master Mathematical Models in Economics and Finance (MMEF)

University Paris 1 Panthéon-Sorbonne
Campus Full time 1 year September 2017 France Paris

The first year of Graduate Studies (Diplôme Universitaire), MMEF - Mathematical Methods in Economics and Finance, is a [+]

Masters in Mathematics. First Year of Graduated Studies: The first year of Graduate Studies (Diplôme Universitaire), MMEF - Mathematical Methods in Economics and Finance, is a one-year, full-time, international programme that is taught in English. The courses correspond to those taught in the first year of Graduate Studies, which in the Bologna European Academic System is the first year M1 of the Masters. The courses derive from pre-existing courses at the university, with intensive courses in French. The degree is devoted to the training of students in the use of mathematical models in economics and finance: mathematical economics, strategic analysis, decision theory, stochastic models, mathematical finance and optimization models. The training is built around a large spectrum of courses, which aim to give the knowledge for the modelization of economic and financial problems, for mathematical formalization and tools for the numerical solutions. The new models in finance, economics and decision theory need a coherent training in these fields. Around 50 students are welcomed each year. Admission is made on the basis of academic excellence. All applicants must be fluent in written and spoken English and have a recognized Bachelor Degree or equivalent (180 ECTS credits in the Bologna system). Preference is given to students in economics, finance or mathematics. Mathematical aptitude and work experience can be helpful. Continuation to the QEM Erasmus Mundus Master: After the first year of the MMEF Degree, successful students who want to get a Masters Degree, may apply to: - the QEM1, the first year... [-]

Master in Mathematical Modeling and Informational Technologies in Photonics

Samara National Research University
Campus Full time 2 years September 2017 Russia Samara

The purpose of the Program is to train highly qualified specialists within the following areas: Photonics, Diffractive Nanophotonics, Nanooptics and Diffractive Optics. [+]

Brief Description of the Master’s Program The Master’s program is focused on the project-oriented activity (Applied Master’s program – the Program). The volume and content of the Program comply with the requirements of the Federal State Educational Standards (FSES) of higher education for program 010900.62 Applied Mathematics and Physics (Master’s Degree), as approved by the Ministry of Education and Science of the Russian Federation, dated March 6, 2014, # 171. The purpose of the Program is to train highly qualified specialists within the following areas: Photonics, Diffractive Nanophotonics, Nanooptics and Diffractive Optics. Areas of the professional activity for graduates with the Master’s Degree include: Optics and Light Emitting Devices (LEDs) ; Diffractive Optics and Nanophotonics; Microoptics and Nanooptics; Photonic Crystals. The training is conducted in accordance with basic and individual training programs, including the possibility of taking a crash course of training. The Program boasts the following features: High academic mobility of students (an opportunity of studying on joint programs with leading universities of Russia and Europe); An opportunity to do the internship at leading enterprises and research centers of Russia (e.g. Image Processing Systems Institute of the Russian Academy of Sciences); An extensive use of interactive methods of training and distance education systems. Professional skills After successfully completing the Program, the graduate acquires a set of professional skills, including the ability to use the state-of-the-art commercial software for professional objectives, such as OSLO - TracePro, FRED Software, FullWAVE FDTD Software, Mode Solvers – Waveguide CAD Software – FIMMWAVE ;... [-]

Master in Mathematics

University of Geneva
Campus Full time 3 semesters February 2018 Switzerland Geneva

The Master in Mathematics is an extension of the Bachelor of Science in Mathematics or in Mathematics and Computer Science, which gives students the opportunity to specialise in one of the research areas of the Mathematics section (algebra, analysis, geometry, topology, mathematical physics, probability and statistics, numerical analysis). The programme offers two streams: the “research” stream includes advanced courses for specialisation in a chosen field; the “general” stream allows students to broaden the scope of their degree by choosing electives offered by other university sections or departments. Through this programme, students will learn to use the mathematical tools that are now essential in research, industry, economics and finance. [+]

Masters in Mathematics. Master in Mathematics The Master in Mathematics is an extension of the Bachelor of Science in Mathematics or in Mathematics and Computer Science, which gives students the opportunity to specialise in one of the research areas of the Mathematics section (algebra, analysis, geometry, topology, mathematical physics, probability and statistics, numerical analysis). The programme offers two streams: the “research” stream includes advanced courses for specialisation in a chosen field; the “general” stream allows students to broaden the scope of their degree by choosing electives offered by other university sections or departments. Through this programme, students will learn to use the mathematical tools that are now essential in research, industry, economics and finance. AVAILABLE ORIENTATIONS: Research General Curriculum Required courses and electives (60Credits) : Electives or advanced courses (40 credits) Knot Theory, Optimisation, Tropical Geometry, Fundamentals of Mathematical Finance Seminar, etc. Seminar (10 credits) Algebra, Geometry and Combinatorics, Numerical, Analysis, Mathematical Physics, etc. Reading project (10 credits) Enables students to begin specialising in the field chosen for their Master’s dissertation Dissertation (60Credits) Mobility Students may earn up to 30 credits while on exchange. They may also conduct research outside the university, under the supervision of a faculty member, or do a work placement at a leading external laboratory in order to complete their Master’s degree. www.unige.ch/exchange Opportunities The Master in Mathematics opens up a number of opportunities both in Switzerland and abroad, including: Applied research in the private sector Telecommunications Insurance Banks and financial institutions Pharmaceutical companies and industry... [-]