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Nowadays, one can without hesitation, state that there is mathematics in virtually everything. There is mathematics behind mobile phones, cars and oil tankers. Internet is built on mathematics and Google is based on probability theory. Cryptology and secure data transfer are based on classical number theory.New mathematical methods are necessary for understanding modern physics and chemistry, e.g. 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 e.g. gene mapping.
The master's programme provides a solid base in mathematics and/or 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. On completion of the master's programme, you will be able to not only 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 turns to you who wants to sharpen your engineering studies with state-of-the-art mathematical competence as well as to you who with a keen curiosity-driven mathematical interest. Of course, it also turns to you who have realised that deep mathematical knowledge is on-demand in an ever-increasing number of areas.
Topics covered
The subjects of mathematical statistics, computational science and engineering mathematical modeling are fundamental areas in the Engineering Mathematics and Computational Science master’s programme. The courses included in the programme plan handle topics such as engineering mathematics, applied mathematics, mathematical biology, machine learning, big data science, pure math and mathematical physics.
Nowadays, one can without hesitation, state that there is mathematics in virtually everything. There is mathematics behind mobile phones, cars and oil tankers. Internet is built on mathematics and Google is based on probability theory. Cryptology and secure data transfer are based on classical number theory.New mathematical methods are necessary for understanding modern physics and chemistry, e.g. 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 e.g. gene mapping.
The master's programme provides a solid base in mathematics and/or 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. On completion of the master's programme, you will be able to not only 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 turns to you who wants to sharpen your engineering studies with state-of-the-art mathematical competence as well as to you who with a keen curiosity-driven mathematical interest. Of course, it also turns to you who have realised that deep mathematical knowledge is on-demand in an ever-increasing number of areas.
Topics covered
The subjects of mathematical statistics, computational science and engineering mathematical modeling are fundamental areas in the Engineering Mathematics and Computational Science master’s programme. The courses included in the programme plan handle topics such as engineering mathematics, applied mathematics, mathematical biology, machine learning, big data science, pure math and mathematical physics.
Admission Requirements
62+
90+
6.5+
180+
Bachelor’s degree (or equivalent) with a major in: Engineering Physics, Physics, Mathematics or an Engineering Discipline
Prerequisites: Mathematics (at least 37.5 cr. including Linear Algebra, Multivariable Analysis, Mathematical Statistics) and experience with Mathematical Software
2 Years
Sep
International
160,000 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:
Engineering Mathematics and Computational Science, MSc
Campus Johanneberg, Gothenburg, Sweden
# 151-200QS Subject Rankings
24 monthsProgramme duration
160,000 SEKTuition Fee/year
MathematicsMain Subject Area
Programme overview
Main Subject
Mathematics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Engineering mathematics and computational science master's programme at Chalmers
Nowadays, one can without hesitation, state that there is mathematics in virtually everything. There is mathematics behind mobile phones, cars and oil tankers. Internet is built on mathematics and Google is based on probability theory. Cryptology and secure data transfer are based on classical number theory.New mathematical methods are necessary for understanding modern physics and chemistry, e.g. 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 e.g. gene mapping.
The master's programme provides a solid base in mathematics and/or 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. On completion of the master's programme, you will be able to not only 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 turns to you who wants to sharpen your engineering studies with state-of-the-art mathematical competence as well as to you who with a keen curiosity-driven mathematical interest. Of course, it also turns to you who have realised that deep mathematical knowledge is on-demand in an ever-increasing number of areas.
Topics covered
The subjects of mathematical statistics, computational science and engineering mathematical modeling are fundamental areas in the Engineering Mathematics and Computational Science master’s programme. The courses included in the programme plan handle topics such as engineering mathematics, applied mathematics, mathematical biology, machine learning, big data science, pure math and mathematical physics.
Programme overview
Main Subject
Mathematics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Engineering mathematics and computational science master's programme at Chalmers
Nowadays, one can without hesitation, state that there is mathematics in virtually everything. There is mathematics behind mobile phones, cars and oil tankers. Internet is built on mathematics and Google is based on probability theory. Cryptology and secure data transfer are based on classical number theory.New mathematical methods are necessary for understanding modern physics and chemistry, e.g. 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 e.g. gene mapping.
The master's programme provides a solid base in mathematics and/or 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. On completion of the master's programme, you will be able to not only 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 turns to you who wants to sharpen your engineering studies with state-of-the-art mathematical competence as well as to you who with a keen curiosity-driven mathematical interest. Of course, it also turns to you who have realised that deep mathematical knowledge is on-demand in an ever-increasing number of areas.
Topics covered
The subjects of mathematical statistics, computational science and engineering mathematical modeling are fundamental areas in the Engineering Mathematics and Computational Science master’s programme. The courses included in the programme plan handle topics such as engineering mathematics, applied mathematics, mathematical biology, machine learning, big data science, pure math and mathematical physics.
Admission Requirements
International
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:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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