Students will acquire a fundamental, robust and versatile background in state-of-the-art programming, modelling and materials engineering; these are competencies which are sought by industry today.

Jörgen Ekman, Programme Coordinator

Computational Materials Science, Master's Programme (Two-Year)

Summary

Do you want to work with the development of new high-performing materials?

The two-year master’s programme in Computational Materials Science (CMS) gives you the in-demand skills and academic degree that allow you to work in a wide range of areas associated with materials development and processing. During the programme, you will gain knowledge in advanced programming, materials science and modelling techniques for testing and predicting material properties. Moreover, the programme includes an introduction to experimental characterisation techniques available at state-of-the-art neutron and synchrotron X-ray facilities such as the MAX IV research centre and the forthcoming ESS research centre, both of which are located just outside of Malmö. Such multidisciplinary knowledge and skills are widely sought by industry and academia, which opens up possibilities for work within the fields of design and engineering, or to pursue a future academic career as a PhD student.

Admission requirements

1. Engineering degree in mechanical engineering or a degree in a related field. All degrees must be equivalent to at least 180 higher education credits.
2. At least 22.5 credits in mathematics.
3. The equivalent of in Swedish secondary school English B or equivalent.

Selection:

credits 100%

About

Computational Materials Science is a two-year master’s programme that prepares students for research studies within computational-based sciences and technology. The courses offered give the students a broad perspective on material behaviours under different conditions, with a special focus on computational modelling of material mechanisms on different length scales. In addition, the programme covers relevant techniques associated with synchrotron light and neutron radiation used for experimental small-scale characterisations of materials. Students develop the ability to use research methods to address materials science-related issues and test their skills through the degree project during the programme’s second year. The degree project will typically be associated with either an ongoing research project or a relevant industry-related project.

A graduate from the programme will have skills requested by the industry to work as an engineer and/or product developer. Material testing is a vital but highly expensive and time-consuming part of product development. Consequently, there is a demand for people with advanced knowledge of how to use computational techniques to construct virtual testing and materials characterisation environments. With its unique and strong focus on modelling and simulation, the Computational Materials Science master’s programme gives students in-demand skillsets that are becoming increasingly relevant for the job market.

 

Interviews

Syllabus

Syllabus for students admitted autumn 2019

Programme Code:
TACMA revision 2
Swedish name:
Beräkningsbaserad materialvetenskap, masterprogram
Language:
English
Date of establishment:
31 August 2018
Date of ratification:
14 September 2018
Decision-making body:
Faculty of Technology and Society
Enforcement date:
02 September 2019

Entry requirements

1. Engineering degree in mechanical engineering or a degree in a related field. All degrees must be equivalent to at least 180 higher education credits.
2. At least 22.5 credits in mathematics.
3. The equivalent of in Swedish secondary school English B or equivalent.

Organisation

The programme allows the student to gain deeper knowledge and skills within computational materials science. The student will also acquire knowledge and skills related to methods applied for research and development within materials science.

Content

Courses

For programme with start Autumn 2019:
Autumn 2019 - Semester 1
Spring 2020 - Semester 2
Autumn 2020 - Semester 3
Spring 2021 - Semester 4

Learning outcomes

The Swedish Higher Education Act
Second-cycle programmes should lead to the acquisition of deeper knowledge, skills and abilities in comparison with first-cycle programmes and shall, in addition to the criteria that apply for first-cycle programmes:
• further develop the student’s capacity for independent integration and application of knowledge;
• develop the student’s ability to handle complex phenomena, issues and situations; and
• develop the student’s capacity for professional practice that places high demands on independence or on research and development work.

The Higher Education Ordinance qualification descriptor
Knowledge and understanding
In order to receive a master’s degree in Computational Materials Science, the student shall:
• demonstrate knowledge and understanding of materials science, comprising broad knowledge within the field and substantial specialised knowledge within certain parts of the field, in addition to specialised insight into relevant research and development work; and
• demonstrate specialised methodology knowledge within materials science.
Skills and abilities
In order to receive a master’s degree in Computational Materials Science, the student shall:
• demonstrate the ability to critically and systematically integrate knowledge and to analyse, assess and handle complex phenomena, issues and situations, even with limited information;
• demonstrate the ability to identify and formulate issues critically, autonomously and creatively as well as to plan and, using appropriate methods, undertake advanced tasks within predetermined time frames, thereby contributing to the formation of knowledge as well as developing the ability to evaluate this work;
• demonstrate the ability in both national and international settings to clearly describe and discuss their conclusions and the knowledge and arguments on which these are based, in dialogue with different groups, both orally and in writing; and
• demonstrate the skills required to take part in research and development work or independent work for another advanced enterprise.


Judgement and approach
In order to receive a master’s degree in Computational Materials Science, the student shall:
• demonstrate the ability, within materials science, to make judgements in relation to relevant scientific, social and ethical factors, and demonstrate awareness of ethical issues in research and development work;
• demonstrate an insight into the opportunities and limitations of science, the role these play in society and individuals’ responsibility for how this is applied; and
• demonstrate the ability to identify personal needs for further knowledge and to take responsibility for their ongoing learning.

Degree

Master's Degree (120 credits).

Master’s degree (120 credits).
Master of Science (120 credits) with a major in Computational Materials Science.
To qualify for a master’s degree in the Computational Materials Science, the student must have completed all courses within the programme, comprising a total of 120 higher education credits. Moreover, the student must have completed a bachelor’s degree or professional qualification of minimum 180 higher education credits, or an equivalent degree abroad.

Other Information

The prerequisites for admission to each individual course are provided in the respective syllabi.

Contact

The education is provided by the Faculty of Technology and Society at the department Materials Science and Applied Mathematics.

Further information

Studentservice TS - Malmö Universitet,
Jörgen Ekman, Programme Coordinator
Phone: 040-6657682

Application

02 September 2019 Day-time 100% Malmö Application code: mau-98004

National application round

Tuition fees

for non-EU students only

First instalment: 120000 SEK
Full tuition Fee: 240000 SEK

Application deadline 15 January

Apply