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M.Sc. Mathematical Modelling of Complex Systems
Faculty of Mathematics / Natural Sciences
University of Koblenz-Landau


 

Address Universitätsstr. 1, Campus Koblenz, D-56070 Koblenz, Germany
E-mail address mmcs@uni-koblenz.de
Web address www.uni-koblenz-landau.de
Course Master in Mathematical Modelling of Complex Systems (M.Sc.)
Type of course Full-time
Length of course 4 semesters / 2 years
Date of commencement Start in winter semester (in October) or start in summer semester (in April)
Application Deadline: we strongly advice international applicants to apply as early as possible, at the very latest by mid-May (for winter term) respectively mid-November (for summer term)
Accommodation Students can apply for apartments in the student halls of residence.
Cost/Fees There are no tuition fees, only an administrative semester fee of 214 Euro per semester.
Student grants / financial assistance Students admitted to the program can apply for a financial support scholarship (a partial scholarship) for the first semester.
Exchange partner schools Partner universities within the frame of ECMI (European Consortium for Mathematics in Industry) for example:
NTNU Trondheim, Norway,
DTU Lyngby, Denmark,
Lappeenranta Technical University, Finland,
Chalmers University, Gothenburg, Sweden,
Strathclyde University, Glasgow, UK,
Oxford University, UK,
Wroclaw Technical University, Poland,
Universität Linz, Austria
INSA Rouen, France
Universität Grenoble, France
Universität Mailand, Italy
Universität Catania, Italy
Universität Coimbra, Portugal
Universität Lissabon, Portugal
UAB Barcelona, Spain
UC3M Madrid, Spain
Universität Las Palmas, Spain
Universität Novi Sad, Serbia
Polytechnische Universität, St.Petersburg, Russia
Technische Universität Kiew, Ukraine

Non-European partner universities:
Fuzhou University, China;
IIT Madras, India,
ITB Bandung, Indonesia
Clemson University, SC, USA
The University of Auckland, New Zealand
Major recruiters of graduates of this programme Major recruiters come from the following industries: automotive industry, aerospace industries, chemistry, electronics, mechanical engineering, software-consulting, banks and insurance companies, research institutes, weather service
Admissions requirements Language Requirements: Sufficient Knowledge of English. Assess your level of English by taking an IELTS language test. Academic Requirements: B.Sc. degree or equivalent (at least three years) in the same or equivalent field.

Admission Requirements
* B.Sc. or equivalent in Applied Mathematics, Applied Physics, Computer Science or related fields.
* Knowledge of English Language equivalent to level B2 or certificate that previous education was carried out in English
Programme coordinators Prof. Dr. Thomas Götz and Prof. Dr. Stefan Ruzika
Contact for application Mrs Ines Tobis, Welcome Center


 



About the Master's Program in Mathematical Modelling of Complex Systems


Complex systems with a technological, biological or socio-economic background determine our everyday life. The challenge of modelling these complex systems mathematically demands the following prototypic profile of an "expert mastering a repertoire of modern mathematical and computer based methods for modelling, 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 Modelling of Complex Systems" focuses on advanced techniques of modelling, 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.

Application oriented, interdisciplinary seminars link the theoretical basics and concepts of modelling 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".

Exemplary list of courses
    Applied Differential Equations ( 9 ECTS)
    Numerics for PDE (9 ECTS)
    Applied Optimization (9 ECTS)
    Integer Optimization (9 ECTS)
    Physics in Applications (12 ECTS)
    Solid State Physics (6 ECTS)
    Computer Based Methods (18 ECTS)
    Electives (12 ECTS)
    Project Seminar (18 ECTS)
    Master Thesis (30 ECTS)
The Master degree in Mathematical Modelling 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 Modelling in science or industry or to pursue a PhD program in related fields.



About University of Koblenz-Landau


The University of Koblenz-Landau is one of the youngest universities in Germany and has grown considerably in its relatively short history. Since its transformation from a teacher training college in 1990, numerous new departments and institutes have sprung up. In addition, a wide range of new degree programs and chairs have been created, and existing courses and research consistently expanded.

At the eight existing faculties on the two campuses in Koblenz and Landau, you can currently study Education, Arts and Humanities, Social Sciences, Sciences, Computer Science (Koblenz) and Psychology (Landau). Since 1990 the number of students has increased dramatically to about 15.000 enrolled students, with approximately 7.500 at each campus.

Koblenz is one of the oldest and most attractive cities in Germany with its surroundings honoured as UNESCO World Cultural Heritage.


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