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Master's Programme in Product and Process Development - Production and Logistics

Education level CreditsSecond cycle 120 credits

Time2 years full-time

Study locationEskilstuna

This programme helps you develop knowledge of the most important issues in modern production and logistics systems. You learn to analyse, evaluate and optimise solutions that will enable you to develop the systems successfully and competitively.

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Credits

120 credits

Education level

Second cycle

Study pace

Full-time

Study location

Eskilstuna

Start

2026-08-31

Length

2 years

Teaching form

Normal teaching

Tutoring language

English

Application code

MDU-49010

Selection

University credits

Requirements

A completed Bachelor's degree from an institution of higher education of three years or more, equivalent to 180 credits, within the fields of Technology of which at least 15 credits in Mathematics/Applied Mathematics. In addition English course 6 or English level 2 or a TOEFL test result, with a minimum score of 575 with a TWE score of at least 4.5 (PBT) or 90 with a TWE score of at least 20 (iBT) or an IELTS test result with an overall band score of at least 6.5 and no band score below 5.5 or equivalent is required.

Tuition fee

For students outside EU/EEA

Per installment prior to each semester: null SEK

Annual tuition fee: 135000 SEK

Total programme fee: 270000 SEK

Apply autumn semester 2026, Eskilstuna

Apply on universityadmissions.se

About The Master's Programme in Product and Process Development

You acquire an advanced base in the planning and optimising of production and logistics, including the use of advanced ICT tools, e.g. Internet of things, cloud computing, and Cyber Physical Systems. During the programme there will be numerous contacts with industry, in the form of guest lectures and applied project assignments. You will also test your new skills in our modern digital manufacturing lab.

This programme is a part of the research profile of Innovation and Product Realisation. Several of the courses in the programme are developed in co-production between researchers at Mälardalen University and the industry. This makes the programme very competitive from an industrial, as well as an academic perspective. As a student you can be invited to do your degree project within the frame of one of the University’s ongoing research projects. This provides a very good basis for future doctoral studies. Still, former students have proven to be highly appreciated in industry as well.

Future and career

On completion of the programme you are very competitive in the national and international labour market. You can work in industry as a highly-qualified expert, or pursue a research career in academia. At Mälardalen University there are a number of research teams, in product and process development, who are developing processes for competitive product realisation.

Application and admission

Read more about how and when to apply for the programme.

Application and admission

Programme structure and content

Here you can see how the program’s content is divided into different subjects and which courses you will take each year of the program. If you study full-time, you will take 30 credits (hp) per semester. Some courses within a program may be mandatory, while others may be elective.

This is a preliminary content of the program. Courses and subjects may be subject to change.

  • Product and Process Development

    94.0%

  • Mathematics/Applied Mathematics

    6.0%

    Courses within the programme

    Product and Process Development:

    • Introduction to Production and Logistics, 5 credits
    • Scientific Theory and Method, 7.5 credits
    • Intriduction to Internet of Things for Manufacturing Industry, 5 credits
    • Internet of Things Platforms for Manufacturing Industry, 5 credits
    • Big Data and Machine Learning on Cloud Platform for Industrial Applications, 7.5 credits
    • Simulation of Production Systems, 5 credits
    • Visualization för Industry 4.0, 7.5 credits
    • Supply Chain Management, 7.5 credits
    • Smart Factories, 7.5 credits

    Mathematics/Applied Mathematics:

    • Probability, 7.5 credits

    Product and Process Development:

    • Industrial Excellence, 7.5 credits
    • Optimization of Production Processes, 7.5 credits
    • Production System Development, 7.5 credits
    • Maintenance and Dependability, 7.5 credits
    • Master Thesis Work, Innovative Production, 30 credits

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