Master in Mechanical Engineering - Specialization Data-driven Mechanical Engineering

Education

The programme spans two years and includes core courses in scientific programming, machine learning, simulation, and mechanical design, alongside electives in robotics, sustainable development, and production systems. Students will work on real-world projects and gain hands-on experience with tools and methods used in industry and research.

Year 1

Autumn semester

• (C) Programming with mechanical engineering applications – 7.5 ECTS
• (C) Data Analysis and Applied Machine Learning – 7.5 ECTS
• (C) Polymer Engineering – 7.5 ECTS
• (E) Materials in Industrial Applications – 7.5 ECTS

or Finite Element Basics – 7.5 ECTS

Spring semester

• (C) Networking and Cybersecurity for Engineering Students – 7.5 ECTS
• (C) Optimization-Driven Mechanical Design – 7.5 ECTS
• (C) Simulation and Modelling – 7.5 ECTS
• (E) Production Systems II – 7.5 ECTS

or Engineering Design II – 7.5 ECTS

Year 2

Autumn semester

• (C) Data-Driven Mechanical Systems – 7.5 ECTS
• (C) Project in Data-Driven Mechanical Design – 7.5 ECTS
• (E) Sustainable Product Development – 15 ECTS

or Project in Simulation and Modelling – 7.5 ECTS

or Robotics and Intelligent Control – 7.5 ECTS

or Electrical Power Systems Technology – 7.5 ECTS

Spring semester

• (C) Final Project – 30 ECTS

Form of Instruction

The programme is taught in English and combines lectures, seminars, and practical lab work. Students engage in project-based learning and collaborate in interdisciplinary teams. Courses are delivered on campus with access to modern facilities and digital tools.

Examination

Examinations include written tests, project reports, oral presentations, and practical assignments. The final degree project is conducted in collaboration with industry or research groups and is presented in a public seminar.

Professional Contact

Students benefit from close collaboration with industry partners through guest lectures, company visits, and project supervision. The programme is developed in dialogue with companies in manufacturing, engineering services, and digital engineering sectors.

Semester 1	ECTS credits
Finite Element Methods for Bachelors students (Elective)	7.5
Materials in Industrial Applications (Elective)	7.5
Data analysis and applied machine learning (Obligatory)	7.5
Programming with mechanical engineering applications (Obligatory)	7.5
Polymer Engineering (Obligatory)	7.5

Semester 2	ECTS credits
Data-driven dynamical systems (Obligatory)	7.5
Design Optimization (Obligatory)	7.5
Networking and cybersecurity for engineering students (Obligatory)	7.5
Simulation and modelling (Obligatory)	7.5

Semester 3	ECTS credits
Project work on data-driven mechanical engineering (Obligatory)	7.5
Electrical power systems technology (Elective)	7.5
Sustainable Product Development (Elective)	15
Project work on simulation and modelling (Elective)	7.5
Robotics and intelligent control (Elective)	7.5

*Full-time study always equals 30 ECTS credits per semester (20 weeks).

Please note - not all programmes offer elective or optional courses.

Elective course: Students are free to choose among certain alternative courses, often depending on their choice of specialisation.

Optional course: Students are free to choose any course offered at Karlstad University or at other universities. Courses listed are examples of recommended or frequently chosen courses for a specific programme.