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  Study programme, year:  1 2

Study programme syllabus for
MPENM - ENGINEERING MATHEMATICS AND COMPUTATIONAL SCIENCE, MSC PROGR Academic year: 2021/2022
MATEMATIK OCH BERÄKNINGSVETENSKAP, MASTERPROGRAM
Associated to: TKTEM
The Study programme syllabus is adopted 2017-02-23 by Dean of Education and is valid for students starting the programme the academic year 2021/2022
 

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:

Bachelor’s degree (or equivalent) with a major in: Engineering Physics, Physics, Mathematics or an Engineering Discipline.

 

Prerequisities:

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

 
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 have a broad mathematical knowledge and they are able to make relevant choices of
    continued courses and specializations according to their interests and capabilities
  • All students will obtain basic competence and skills in an entrepreneurial approach to solving problems and creating value for others. Through the compulsory courses, students will learn to take initiative, work cooperatively to combine their skills and competencies with their peers, and create value for others.


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 or statistics

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

  • analyze new mathematical and computational challenges in science
    and engineering and thereby contribute to advancements in science and industry

  • contribute in the field of industrial mathematics and to operate on a European scale. This applies in particular to those students who have got an ECMI-certificate. 

  • 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 2021/2022:

See study programme

 

Accredited to the following programmes the accademic year 2021/2022:


Degree of Master of Science in Engineering
TKATK - ARCHITECTURE AND ENGINEERING
TKAUT - AUTOMATION AND MECHATRONICS ENGINEERING
TKBIO - BIOENGINEERING
TKMED - BIOMEDICAL ENGINEERING
TKKMT - CHEMICAL ENGINEERING
TKKEF - CHEMICAL ENGINEERING WITH ENGINEERING PHYSICS
TKSAM - CIVIL ENGINEERING
TKDAT - COMPUTER SCIENCE AND ENGINEERING
TKTEM - ENGINEERING MATHEMATICS
TKTFY - ENGINEERING PHYSICS
TKGBS - GLOBAL SYSTEMS ENGINEERING
TKMAS - MECHANICAL ENGINEERING
TKITE - SOFTWARE ENGINEERING

 
Degree:
 Degree requirements:
  Degree of master of science (120 credits):
Passed courses comprising 120 credits
Degree project 30 credits
Courses (including degree project) within a main field of study 60 credits
Passed advanced level courses at Chalmers (degree project can be included) comprising at least 45 credits
Passed advanced level courses (degree project can be included) comprising at least 90 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 Local Qualifications Framework - first and second cycle qualifications
 

Title of degree:

Master of Science (120 credits). The name of the Master's programme and the major subject Mathematics are stated in the degree certificate. Specializations and tracks are not stated.

 

Main field of study:

Mathematics

 

Page manager Published: Thu 03 Nov 2022.