MSc programs - DTU

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Mathematics and Informatics
MSc in Mathematical Modeling and Computation
Semesters: 4
Study credits: 120 ECTS
Start: September 2007
Seats: 60
Application date: March 15 or June 1, 2007
Today mathematics is more relevant, more needed than ever before, and is part of nearly every
aspect of our everyday lives. Mathematics is in cellular phones, train schedules and search engines
– just to name a few. And its future looks even brighter. There is an ever increasing demand for
mathematical models and methods in industrial applications, information technology, financial
institutions, agriculture, government, health care and many other areas driven by technological
achievements. The easy and fast access to data creates many new opportunities for doing things
better, more efficiently, and with less reliance on natural resources, as a result of our understanding
of complex underlying patterns and structures of the systems. Examples include airline scheduling,
medical imaging, DNA sequencing, wind power, and drug development. Embedded systems are
now so small and powerful that very advanced calculations supporting intelligent control can be
build 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 graduates with a solid foundation in applied mathematics and mathematical modeling
for industrial research and development, combined with skills in using modern computing facilities
for handling large amounts of data. The program is a continuation of a highly successful and popular
program, and the graduates now work in virtually all sectors of the society. The students who go
through the uniquely designed cooperative thesis projects with industry often receive employment
offers from the company or institution that is involved with the project. Moreover many students
continue their training in PhD programs, and are offered research and development jobs. Industrial
as well as governmental grants are also available.
Study lines: Computational Data Analysis
OR for Decision Making
Mathematics and Scientific Computing
Secure and Reliable Computing
Career opportunities: Working with mathematical modeling often is to usemathematics in some
completely different area – it could be health care or environmental engineering.
The work requires communication skills, creativity, an open mind
and a broad interest in the world around us and in working together
with others. Of the 150 graduates from the last two years, six has started
their own company, and more than 20 are PhD students. Others are working
in industries in Europe, in the US and in Australia.
Prerequisites: BSc degree in a related field, such as (applied) mathematics or engineering.
BSc degrees in other areas- e.g. environmental sciences or physics
– are also applicable. Basic university/college courses in Mathematical
Analysis and Algebra, plus one or more areas of applie mathematics,
broadly interpreted. Basic courses in Programming and, normally, in Phys-
ics and Chemistry.
Program coordinator: Professor Helle Rootzén (hero@imm.dtu.dk)
Department: Informatics and Mathematical Modelling (www.imm.dtu.dk) and
Department of Mathematics (www.mat.dtu.dk)
Read more: www.imm.dtu.dk
MSc in Computer Science and Engineering
Semesters: 4
Study credits: 120 ECTS
Start: September 2007
Seats: 60
Application date: March 15 or June 1, 2007
Computer Science and Engineering considers the design and use of computing components, software
or hardware, to solve technical problems in an efficient and competitive way. The focus is on
understanding and making the right choices of abstractions which makes it possible to implement
IT solutions from existing and future components.
As a professional designer you will model, analyze, design, implement, and validate complex IT systems,
based on theoretically and technologically well-founded methods, tools and techniques. The
Computer Science and Engineering Program will educate you to become a highly qualified engineer
capable of developing complex IT systems consisting of both hardware and software, using these
methods, tools and techniques.
DTU has a strong and growing IT environment with competences in areas of great importance for
the value growth and productivity of industry, academia and society. This covers areas such as safe
and secure systems, system integration, distributed and embedded systems, networks, software
engineering, algorithms, system-on-chip and digital systems. As a student in Computer Science and
Engineering you will take part in this active IT environment.
Study lines: Safe and Secure IT Systems
System-on-Chip Design
Career opportunities: Candidates in Computer Science and Engineering are able to use, develop
and produce IT-systems at a high technical level. This makes them very
attractive for both Danish and international companies and institutions.
Candidates are typically employed in a very broad range of companies
within the area of IT, electronics and telecommunications.
Prerequisites: Technical BSc degrees in computer science, electronics or telecommunication.
Skills within software programming and basic algorithms, and at
least one of the following subjects: modeling, concurrency, networks, and
digital systems.
Program coordinator: Professor Jan Madsen (jan@imm.dtu.dk)
Department: Department of Informatics and Mathematical Modeling
(www.imm.dtu.dk)
Read more: www.imm.dtu.dk/cse