Engineering mathematics and computational science, MSc 24 months Postgraduate Programme By Chalmers University of Technology |TopUniversities

Programme overview

Main Subject

Mathematics

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Nowadays, there is mathematics in virtually everything, from mobile phones to passenger cars and oil tankers. The internet is built on mathematics. Google is based on probability theory, while cryptology and secure data transfer are based on classical number theory. Modern physics, chemistry, climate science, bioinformatics — the list is long.


This master's programme will provide you with a solid base in a combination of mathematics, mathematical statistics and computational science. After graduation, you will not only be able to master a given area of engineering, but also take part in the development of mathematical models and algorithms.


Engineering mathematics and computational science master's programme​ at Chalmers


New mathematical methods are necessary for understanding modern physics and chemistry, for example, advanced mathematical and statistical models are required in climate science.


Bioinformatics has quickly grown to become one of the big areas of applied mathematics. Continuing the development of mathematical methods is necessary in order to deal with the huge amounts of information generated by for example gene mapping.


The master's programme gives you a solid base in mathematics, mathematical statistics or computational science. It is also possible to choose a direction towards bioinformatics. We also offer a number of courses in financial mathematics.

Programme overview

Main Subject

Mathematics

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Nowadays, there is mathematics in virtually everything, from mobile phones to passenger cars and oil tankers. The internet is built on mathematics. Google is based on probability theory, while cryptology and secure data transfer are based on classical number theory. Modern physics, chemistry, climate science, bioinformatics — the list is long.


This master's programme will provide you with a solid base in a combination of mathematics, mathematical statistics and computational science. After graduation, you will not only be able to master a given area of engineering, but also take part in the development of mathematical models and algorithms.


Engineering mathematics and computational science master's programme​ at Chalmers


New mathematical methods are necessary for understanding modern physics and chemistry, for example, advanced mathematical and statistical models are required in climate science.


Bioinformatics has quickly grown to become one of the big areas of applied mathematics. Continuing the development of mathematical methods is necessary in order to deal with the huge amounts of information generated by for example gene mapping.


The master's programme gives you a solid base in mathematics, mathematical statistics or computational science. It is also possible to choose a direction towards bioinformatics. We also offer a number of courses in financial mathematics.

Admission Requirements

62+
4.5+
6.5+
180+

General entry requirements


An applicant must either have a Bachelor's degree in Science/Engineering/Technology/Architecture or be enrolled in his/her last year of studies leading to such a degree.


Specific entry requirements


Bachelor’s degree (or equivalent) with the main field of study:

Engineering Physics, Physics, Mathematics or Engineering


Prerequisites:

Mathematics (at least 37.5 cr. including Linear Algebra, Multivariable Analysis, Mathematical Statistics), experience with Mathematical Software

2 Years
Aug

Tuition fees

International
190,000 SEK

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

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