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  Study programme, year:  1 2

Study programme syllabus for
MPENM - ENGINEERING MATHEMATICS AND COMPUTATIONAL SCIENCE, MSC PROGR Academic year: 2013/2014
The Study programme syllabus is adopted 2013-02-21 by Dean of Education
 
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Entry requirements:
 

General entry requirements:

Basic eligibility for advanced level

 

Specific entry requirements:

 

English proficiency:

An applicant to a programme or course with English as language of instruction must prove a sufficient level of English language proficiency. The requirement is the Swedish upper secondary school English course 6 or B, or equivalent. For information on other ways of fulfilling the English language requirement please visit Chalmers web site.

 

Undergraduate profile:

Major in Engineering Physics, Physics, Mathematics or an Engineering Discipline.

 

Prerequisities:

Mathematics 37.5 cr. (including Linear algebra, Numerical analysis, Single- and Multivariable analysis and Mathematical statistics) and Scientific computing.

 
General organization:
 

Aim:

The master's programme Engineering Mathematics and Computational Science aims to provide the students with enhanced skills for mathematical-statistical-scientific analysis of real world problems in science and industry, as well as for numerical computational modeling of such problems and analysis/visualization of the computed results. Upon graduation the students will be well trained engineering mathematicians for industry or continuation in graduate studies.

 

Learning outcome:

Knowledge and understanding



  • After the compulsory part of the programme the students rely on a broad
    platform of scholarship and they are able to make relevant choices of
    continued courses and specializations according to their interests and
    capabilities


On the completion of the studies the students will be able to:



  • mathematically classify and analyze problems from the physical
    reality, to some extent also complex phenomena being beforehand unknown
    to them.

  • use computer algorithms, programs and software packages to compute
    solutions to current problems.


By a proper choices of courses preparing for continued studies, the
students will be well fostered for entering PhD studies in mathematics,
mathematical statistics, or computational science and thereby be able to
contribute to advancements in research in these areas.



Skills and abilities


On the completion of the studies the students will be able to:



  • make a mathematical model of a real‐world problem requiring
    non‐trivial mathematics, to some extent even for problems they have not
    met before. This outcome is unique for the specialization Mathematics

  • make a mathematical‐statistical model of a real‐word problem
    requiring non‐trivial mathematical statistics, to some extent even for
    problems they have not met before. This outcome is unique for the
    specialization Mathematical Statistics

  • derive and use the numerical techniques needed for a professional
    solution of a given mathematically‐statistically formulated problem.

  • With the generalist approach of the programme, the students will be
    able to analyze new mathematical and computational challenges in science
    and engineering and thereby contribute to advancements in science and
    industry.

  • By the courses in CSE the students become able to use computation as
    a professional tool in one or several scientific or engineering fields.
    This outcome is unique for the specialization Computational Science and
    Engineering.

  • The students, in particular those having got a diploma supplement in
    form of an ECMI certificate, are able to contribute in the field of
    industrial mathematics and to operate on a European scale

  • Through application and practice the students will be able to contribute to
    team‐based engineering work and projects in a multi‐cultural
    environment.


Formulation of judgements and attitudes


On the completion of the programme the students will be able to:



  • critically analyze and give advice regarding different choices of
    models, algorithms, and software with respect to efficiency and
    reliability.

  • critically analyze the accuracy of the obtained numerical results
    and to present them using computer graphics.

  • With the broad platform in Engineering Mathematics and Computational
    Science and Engineering formed by studies in this master's programme,
    the students will be able to:

  • contribute to a public discussion on the role of Mathematics and
    Scientific Computing in research, industry, and society.

  • make relevant considerations regarding scientific, social, and
    ethical aspects on research and development in these disciplines.


 

 

Extent: 120.0 c

 

Courses valid the academic year 2013/2014:

See study programme

 
Degree:
 Degree requirements:
  Degree of master of science (120 credits):
Passed courses comprising 120 credits
Passed advanced level courses (including degree project) comprising at least 90 credits
Degree project 30 credits
Advanced level courses passed at Chalmers comprising at least 45 credits
Courses (including degree project) within a major main subject 60 credits
Fulfilled course requirements according to the study programme
The prior award of a Bachelors degree, Bachelors degree in fine arts, professional or vocational qualification of at least 180 credits or a corresponding qualification from abroad.

See also the system of qualifications
 

Title of degree:

The degree designation is Master of Science (120 credits) (Teknologie masterexamen). The name of the Master's programme and the major subject are stated in the degree diploma. Specializations and tracks are not stated in the degree diploma.

 

Major subject:

Mathematics

 
Other information:
 

More information about the programme (url):

http://www.chalmers.se/en/education/programmes/masters-info/Pages/Engineering-Mathematics-and-Computational-Science.aspx


Published: Mon 28 Nov 2016.