Technical systems increasingly employ electronics and computers, to give the final product or system the desired properties. Driving factors are, for example, functional and quality demands, energy utilisation, environmental demands, or cost reductions. The wide range of industrial needs, from small embedded devices to large control systems for transportation, production or electric power distribution, is the primary motivation for this programme.
The aim of the programme is to prepare you for a professional career by providing a broad systems engineering base, suited to the engineering of complex, computer-controlled (embedded) products and systems. The programme also offers course packages towards subtopics (e.g. control; automation; mechatronics), and/or fields of application. Applications span a wide spectrum, from small consumer devices and medical equipment to large systems for process and production control.
Modern passenger cars increasingly depend on the integration of the car’s mechanical subsystems, with a substantial number of embedded computers, sensors, actuators, and communication devices, making it possible to create cars with active safety functions and new propulsion systems. Other evolving fields of this discipline are HVDC power transmission to minimize loss in the grid, and intelligent robots for households and industry, to name a few. To ensure development within the field, all these systems depend on engineers making them precise, effective, flexible, fast and safe. As a student, you will be able to contribute to the development that will lead to the integration of functions for sensing, monitoring and control with a wide range of products and systems. In collaboration with Universität Stuttgart, we offer you a possibility to pursue a double degree.
The programme leads to a wide range of career opportunities with emphasis on operation, design, development and research of complex technical systems within almost any branch of industry. In fact, the generality of many of the methods offers great opportunities in terms of choosing among many different application domains. The acquired skills are needed at manufacturing companies, supplier companies, consulting firms and utility companies.
Job roles range from applied research to product and system development and operation, as well as extend to sales support and product planning. In addition, other career opportunities may arise as academic researchers, technical advisors, project managers and teachers at different levels.
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Entry requirements (academic year 2018/19)
General entry requirements
To be eligible an applicant must either be a holder of a Bachelor's degree in Science/Engineering/Technology/Architecture or be enrolled in his/her last year of studies leading to such a degree. General entry requirements in detail
Chalmers Bachelor’s degree
Are you enrolled in a Bachelor’s degree programme at Chalmers now or do you already have a Bachelor’s degree from Chalmers? If so, different application dates and application instructions apply.
Specific entry requirements
Bachelor’s degree (or the equivalent) with a major in: Automation and Mechatronics Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, Computer Engineering, Chemical Engineering, Engineering Mathematics or Engineering Physics
Prerequisites: Mathematics (at least 30 cr. including Linear algebra, Multivariable analysis, Transforms and Mathematical Statistics), Automatic control (including PID-controllers, State-space models, Stability analysis for transfer functions and State-space models, Linearization of nonlinear models, Bode’s and Nyquist’s diagrams, Stability analysis using Nyquist’s full criteria), Physics (including Kirchoff’s cicuit laws and Newton’s second law for translation and rotational motions) and Basic programming
English Language Proficiency
The most common and important scores that are accepted are
- IELTS (academic training), 6.5 (with no part of the test below 5.5)
- TOEFL (Internet based): 90 (with a minimum of 20 on the written part)
- TOEFL (paper based): 575 (with a minimum of 4.5 on the written part)
English Language Proficiency in detail
Citizens of the Democratic People's Republic of Korea (DPRK)
Chalmers cannot admit applicants with citizenship only of the Democratic People's Republic of Korea due to the European Council Regulation U2017/01157/UH concerning restrictive measures against DPRK. Applicants with double citizenships of which one is of Democratic People's Republic of Korea and the other of another country, the citizenship of the other country has precedence in this respect.
International opportunities during the studies
In cooperation with Universität Stuttgart, Germany, Chalmers offers students in the Master's programme Systems Control and Mechatronics a possibility of receiving double Master’s degrees. If admitted to a double degree programme, you will study your first year of the programme at Chalmers and the second year in Stuttgart. After finished studies, you will receive one degree from Chalmers and one from Universität Stuttgart. Double Master's Degree
Please note that the above schematic view corresponds to the academic year starting in autumn 2018. Minor changes may occur.
In the basic courses our focus lies in developing your
engineering skills on a system level. In the elective part of the programme, we offer
course packages towards subtopics, e.g. control, automation and
mechatronics, and/or fields of application.
The five compulsory courses focus on general systems engineering skills and aim at providing a set of generic methods and tools:
- In Modelling and simulation, you will learn the basic tools for systematic modelling from physics, and/or experiments and simulation of those. These skills are used in many branches of systems engineering.
- Discrete event systems provides the basics for modelling and analysing systems with complex logic that is often present in man-made systems, for example, within embedded products and production systems.
- Linear control systems design describes the fundamental ideas behind feedback control systems, based upon the triplet sensing – decision – actuation, with focus on model-based control system design.
- In Model-based development of cyber-physical systems, you will apply the knowledge from the previous courses in modeling and control in a real project that includes all phases from modelling, simulation, and control design, to implementation, and validation and testing.
- In Design project in Systems, control and mechatronics, a structured project methodology is used in solving a larger design and implementation problem in a team where the skills from the previous courses are necessary to successfully solve the project.
The compulsory-elective courses in the programme comprise: Robust and nonlinear control; Applied signal processing; Modelling and control of mechatronic systems; Sensor fusion and nonlinear filtering; Constraint programming and applied optimisation; Simulation of production systems; Model predictive control; System identification; Nonlinear optimisation; Discrete optimisation, and Linear and integer optimisation with applications.
Suggested course packages
To guide you through the selection of elective courses, the programme provides multiple course packages that can be used to specialize towards a certain application, or to further focus on general methods:
- Algorithms and Artificial Intelligence provides knowledge about autonomous agents and biologically inspired optimisation methods.
- Autonomous Systems contains courses that focus on perception, sensor fusion, and control. This will prepare you for building autonomous systems, for example, selfdriving cars.
- Control and Signal Processing focuses on general methods for control, signal processing and optimisation.
Electric and Hybrid Powertrains – The powertrain in cars and trucks is now often partially or fully electrified. In this course package, you will learn about batteries, the electric and hybrid powertrains, and the control of those.
Embedded Systems focuses more on the hardware/software aspects of implementing embedded control systems.
- Industry 4.0 within production artificial intelligence together with new sensors, e.g. cameras, will make the next generation of automation systems self-configurable, and able to optimize and do self-diagnostics on the production system.
- Machine Learning – Artifical intelligence and machines that can learn skills based on data will be an important technique in many applications. In this course package, you will learn the key techniques in deep machine learning, and other data-driven methods, like system identification.
- Mathematical Systems Theory further focuses on general system-oriented courses for modelling and analysis of dynamic systems.
- Power Systems is focused on power systems and power electronic equipment connected to the grid including technologies like HVDC power transmission.
- Process Control is focused on control for chemical engineering applications, with more courses in process engineering.
For detailed information on the course packages: Download
the programme brochure
Programme content in detail
Due to its integrating properties, the programme leads to a wide range of career opportunities with emphasis on operation, design, development, and research of complex technical systems within almost any branch of industry. The generality of many of the methods offers great opportunities in terms of choosing among many different domains of application. The acquired skills are needed at manufacturing companies, supplier companies, consulting firms, and utility companies.
Job roles range from applied research to product and system development and operation, as well as sales support and product planning. In addition, other career opportunities may arise, such as academic researchers, technical advisors, project managers, and teachers at different levels.
Swedish industry has a strong tradition in systems engineering, and the long-lasting partnership between Chalmers and Swedish industry makes Chalmers a perfect choice for students wanting to pursue this rapidly evolving field of engineering.
Department of Electrical Engineering