N5TeAM - Master’s Programme in Applied and Engineering Mathematics

N5TeAM Programme


Mobility Plan and Study Tracks

N5TeAM is a two-year Master of Science programme (120 ECTS credits). During the programme the students study at two of the five Nordic partner universities: Aalto University in Finland, Chalmers University of Technology in Sweden, Technical University of Denmark (DTU), KTH Royal Institute of Technology in Sweden and Norwegian University of Science and Technology (NTNU).

Each partner acting as a home university (University 1) provides 60 ECTS as first year study package.  For the second year students, the host university (University 2) provides a 30 ECTS package of courses and Master´s thesis supervision jointly with the student’s home university.

The possible study tracks are the following:


The curriculum details and lists of courses: Aalto, Chalmers, DTU, KTH, NTNU.


First Year Studies

The first year studies are divided into core courses (30-40 credits) and key competences (20-30 credits). The core courses provided by the home university (University 1) cover the following areas:

  • Analysis
  • Scientific computing
  • Stochastics
  • Discrete mathematics


Second Year Specialisations

Here are the descriptions of the second year specialisations and the possible study tracks for each specialisation.

Scientific Computing and Biocomputing

Tracks: DTU – KTH, NTNU – KTH
Biocomputing, with sub-areas like Systems Biology and Computational Neuroscience, is a rapidly developing field. In this specialisation, the student will acquire knowledge and skills about model construction and simulation of these using specialised software tools. In this regard, he or she will learn about the types of differential equations encountered and the numerical methods used for solving these. The student may also learn about parallel implementation and simulation on high-performance computers. Models encountered include biochemical reactions, the biophysics of the cell, and simulation of networks of neurons. Carrier prospects for graduates include research and development both in academia and industry.
Link to courses


Applied Stochastics and Statistics

Tracks: Chalmers – NTNU, NTNU – Chalmers
This specialisation provides skills ranging from fundamental probability to applied statistics. Probabilistic modeling and statistical analysis are becoming more important as computing power continues to grow exponentially. This allows us to simulate increasingly complex models, whose constituent parts are behaving randomly constrained by some rules (which may be dependent). Examples of such models are neural nets, gas-kinetic models, stock-market models, geophysical processes, etc. Applied statistics is also heavily used (and abused!) in the empirical sciences, such as medicine, law, sociology etc, which are in great need of statistical expertise.
LInk to courses

High Performance and Scientific Computing

Tracks: KTH – Aalto, Chalmers – Aalto
This specialisation aims to the use of high quality models of phenomena in science and engineering. Very often such models contain partial differential equations and multiphysics, for example, structures and flows, or mechanical vibrations and electromagnetic fields. Efficient and accurate numerical simulation and optimisation of such models is an essential part of this specialisation. Specialists with this education are highly wanted in research and development projects.
Link to courses.

Computational Mechanics

Tracks: Aalto – Chalmers, DTU – NTNU, KTH – NTNU
In this specialisation the students learn to develop, analyse and use computational methods for relevant applications in the natural sciences and engineering.

Computational mechanics is an interdisciplinary topic which applies mathematics and computing to solve real-world challenges. Important components are the formulation of a mathematical model for a given mechanical phenomenon, making useful approximations suitable for computers, efficient implementation of the resulting methods, and presentation and evaluation of the results. Finite difference and finite element methods are commonly used to bridge the mathematical world with computing.
Link to courses.

Cryptology and Coding Theory

Tracks: Aalto – DTU, NTNU – DTU
Cryptology and coding theory is about secure and reliable communication. Coding theory is the study of how to transmit information efficiently and robustly in the presence of noise. It is the mathematics that allows data to be sent via satellites and scratched CD's to be read without errors. Cryptology protects information against malicious third parties. It is the science of protecting transmitted information from prying by an attacker, as well as integrity checking and autentication. Traditionally cryptography has been implemented only on fairly powerful computing devices but this has changed and today more and more smaller devices are in use, ranging from (still quite powerful) mobile telephones and PDAs to contactless smart cards and RFID tags.

In the specialisation of cryptology and coding theory there will be a focus on lightweight systems and the students will learn how to design state-of-the-art cryptosystems for confidentiality and authentication.
Link to courses.


N5TeAM Summer School

After the first academic year, a common summer school is organized for all  students in the programme. During the Summer School students engage in intensive case studies in small teams with guidance by international experts. 

The first N5TeAM Summer School will be organized 9 - 15 June, 2013 in The Archipelago Research Institute University of Turku on the island of Seili in Nauvo.

The Summer School 2013 programme


Degrees Awarded

Aalto: Master of Science (Technology)

Chalmers: Master of Science (120 credits)

DTU: Master of Science in Engineering

KTH: Master of Science (120 credits)

NTNU: Master of Science in Applied and Engineering Mathematics

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