Master in Computational and Applied Mathematics
Generel information
Mathematics is everywhere today – in cellular phones, train schedules,
and search engines. There is an increasing demand for mathematical
models and methods in industrial applications, agriculture, information
services, financial institutions and government, driven by technological
achievements.
The easy and fast access to data has spawned a plethora of possibilities
for increased wealth, as a result of understanding complex underlying
patterns and structures. Examples include airline scheduling, medical
imaging, search engines, DNA sequencing, wind power control, and drug
development.
Embedded systems are now so small and powerful that
non-trivial calculations supporting intelligent control can be built
into virtually any device, such as hearing aids, cellular phones, cars,
household appliances, and medical equipment.
This MSc program covers a wide range of topics in mathematics and its
applications. The goal is to provide the candidate with a solid
foundation in applied mathematics and mathematical modeling for
industrial research and development, combined with an understanding
of the use of modern computing facilities for handling of large
amounts of data.
The program is a continuation of a highly succesful program that has
produced a large number of master and Ph.D. candidates. Graduates from
the program work in virtually any sector of society.
Frequently, cooperative thesis projects lead to the students
being employed by the company.
Many students continue their training in Ph.D. programs and are offered
research and development jobs. Industrial as well as governmental grants are available.
Study lines
A total of more than 50 faculty members highly experienced in research and
applications cover a broad field of potential interests as described in the
four proposed specialisations.
- Computational Data Analysis
Focus is on extracting the important features from data posed by the information society. The student will work in the interface between applications and science, computing and mathematics, and learn how to build and analyze mathematical models that form the basis of advanced problem solving in research and industry, via the newest developments in computing and data analysis.
- OR for Decision Making
Focus is on basic and advanced technical topics in optimization (linear and integer programming, non-linear optimization, network optimization, and heuristics). Also, more soft/organisatorial aspects are touched upon. Thesis projects are done in collaboration with industrial companies.
- Mathematics and Scientific Computing
Focus is on understanding of the underlying abstract and applied mathematical tools, as well as techniques that provide the necessary basis for the modeling of the problems and the design of efficient computer algorithms. Problems from other areas of the technical sciences as well as more theoretical problems are studied.
- Secure and Reliable Computing
Focus is on theory and the technology for designing, analyzing, implementing and validating modern and future safe and secure IT-systems - based on mathematically well-founded methods, tools and techniques.
Overall rules
The overall rules for obtaining this master degree
(including the rules for admission to the program)
are described
here.
Where can I get a job?
Read about your opportunities after DTU.
Go to the Job Opportunities section.
Life at the university
Read about how we teach at IMM and MAT, and learn about the facilities at
IMM, MAT and DTU. Go to Life on and around IMM and MAT.
The Ph.D. programme
Like to do research? Read about the Ph.D. Programme at DTU.
Other study lines that might be of interest for you!
Electrical Engineering, Informatics, Telecommunication.
Helpful links
Get Ready - a brochure for international students coming to DTU
Housing - can I get help to find accommodation?
How do current and former students fell about studying DTU? Read Tomas', Maia's, Ling's, and Jacquelines's stories.
What are the teachers' perspective on teaching?
Learn more about Lars Kai Hansen's visions.
Morten Nonboe Andersen, January 20, 2006.