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Master's programme in Applied and Engineering Mathematics

The Master’s Programme in Applied and Engineering Mathematics (N5TeAM) provides students with the knowledge of how to apply mathematics and problem-solving in a wide range of fields. Students study at two universities, graduate with a double degree and gain all-round mathematical skills.

Complete curriculum

Printable programme syllabus and course descriptions:
2013/2014

Programme in short

Admission requirements:
A Bachelor’s degree (or equivalent) of at least 180 ECTS. Specific requirements as specified by each Master’s programme.
Degree awarded:
Master of Science (120 credits). The degree gives access to third cycle qualifications (doctorate).
Duration:
120 credits/120 ECTS credits (two years). The system is compatible with ECTS credits. It is a full-time study programme.
Location:
KTH Campus, Stockholm
Programme start:
Late August
Application deadline:
January 31
Language of instruction:
English
The grading scale is:
A-Excellent, B-Very Good, C-Good, D-Satisfactory, E-Sufficient. No overall grade is given for a degree and students are not ranked.
Contact:
hanke@csc.kth.se

The N5TeAM joint curriculum has been developed to take advantage of the strengths and research specialisations of each member university.

The N5TeAM curriculum covers a broad range of engineering and theoretical topics providing students with a solid knowledge of the fundamentals of mathematics, and a wide range of focus and application areas. Subject areas include:

  • Applied mathematical analysis
  • Biocomputing
  • Computational mechanics, geosciences, and geometric intergration
  • Cryptology and coding theory
  • Numerical analysis
  • Partial differential equations
  • Stochastics, computational and spatial statistics

Official homepage of the programme: n5team.aalto.fi

Programme outline

Students study their first academic year at one university and their second at a different university: Aalto University (School of Science) in Finland, Chalmers University of Technology in Sweden, Technical University of Denmark (DTU), the Royal Institute of Technology in Sweden (KTH) or the Norwegian University of Science and Technology (NTNU).

During the first year, instruction consists of theoretical courses that prepare students for specialisation in the second year. These studies include individual projects. After the first academic year, a common summer school is organised for all the students in the programme. During the second academic year, an MSc thesis project comprising 30 ECTS will be completed. This project is supervised jointly with the university where students have completed their first year of studies.

The language of instruction is English. Upon graduation, students will be awarded a degree from each of the two universities they attended, thus receiving a double degree. Information about the academic year at the different partner universities is available from their local websites.

Degree project

The MSc thesis comprises 30 ECTS credits and is carried out in the second half of the second year of the programme. Students are supervised and examined by faculty from both the home and the host universities. Thesis work may be performed in a research group at the relevant university or as a project in industry or at a consulting company. The result of this thesis work is provided as a written report and as a presentation at a seminar.

Career prospects

All students who have successfully completed thir MScs in this programme may join the international research community by continuing on to PhD studies. These students may continue in applied or engineering mathematics, but graduates will also be excellent candidates for many PhD programmes in computational science fields. Graduates of this programme will also be qualified for demanding positions in industry, particularly in fields that require the use of mathematical models, optimisation and simulation. In many cases, MSc. thesis work will be carried out in the research units of companies or the public sector. Graduates of this programme have also gained valuable international experience from studying at two Nordic universities.

Admission

For issues related to admission please email: n5team@aalto.fi

Contact

For questions related to the content of the programme at KTH please contact:
Dr. Michael Hanke

Dept of Numerical Analysis
School of Computer Science and Communication
KTH Royal Institute of Technology
S-10044 Stockholm
Sweden