StudyQA — Master: Systems, Control and Robotics

Description Contents Requirements Funding

The purpose of the Master’s programme in Systems, Control and Robotics is to equip students with the skills necessary to analyse, design and control complex technical systems. Such systems are key components in infrastructure and industry, and host a wide array of functions in our daily lives. Therefore, the successful integration of cutting-edge training in engineering with a balanced, holistic systems perspective will remain a crucial area of specialisation for the future.

The Master’s programme is taught in English and involves team collaborations and projects emphasising the academic and cultural diversity of the field. The coursework is based around four areas of focus: Robotics and Autonomous Systems (AS), Networked Control Systems (NC), Systems and Control Theory (SC) and Electric Energy Systems (ES). Students will be able to incorporate and use KTH’s strong ties with research and industry leaders for their thesis project in the second year, providing them with excellent career opportunities.

Year 1

Mandatory courses

Theory and Methodology of Science with Applications (Natural and Technological Science) 7.5 credits
Image Analysis and Computer Vision 7.5 credits
Power System Analysis 6.0 credits
The Sustainable Systems and Control Engineer 3.0 credits
Applied Estimation 7.5 credits
Hybrid and Embedded Control Systems 7.5 credits
Control Theory and Practice, Advanced Course 7.5 credits
Nonlinear Control 7.5 credits
Model Predictive Control 7.5 credits
Modelling of Dynamical Systems 7.5 credits

Conditionally elective courses

Artificial Intelligence 6.0 credits
Deep Learning in Data Science 7.5 credits
Robotics and Autonomous Systems 9.0 credits
Computational Photography 6.0 credits
Machine Learning 6.0 credits
Artificial Neural Networks and Other Learning Systems 6.0 credits
Machine Learning, Advanced Course 7.5 credits
Speech and Speaker Recognition 7.5 credits
Power System Stability and Control 7.5 credits
Communication and Control in Electric Power Systems 6.0 credits
Computer Applications in Power Systems 4.5 credits
Electrical Machines and Drives 6.0 credits
Power Electronics 6.0 credits
Microsystem Technology 7.5 credits
Hands-On Microelectromechanical Systems Engineering 7.5 credits
Automatic Control, Project Course 15.0 credits
Automatic Control, Project Course, Smaller Course 7.5 credits
Stochastic Control and Optimization 7.5 credits
Queuing Theory and Teletraffic Systems 7.5 credits
Networked Systems Security 7.5 credits
Digital Signal Processing 7.5 credits
Adaptive Signal Processing 6.0 credits
Optimal Filtering 6.0 credits
Computer Hardware Engineering 7.5 credits
Dynamics and Motion Control 9.0 credits
Robust Mechatronics 6.0 credits
Embedded Systems for Mechatronics, II 6.0 credits
Complex Analysis 6.0 credits
Mathematical Systems Theory 7.5 credits
Geometric Control Theory 7.5 credits
Optimal Control Theory 7.5 credits

Recommended courses

Program System Construction Using C++ 6.0 credits
Algorithms and Complexity 7.5 credits
Software Engineering 6.0 credits
Neuroscience 7.5 credits
Language Engineering 6.0 credits
Mathematical Modelling of Biological Systems 9.0 credits
Statistical Methods in Applied Computer Science 6.0 credits
Software Reliability 7.5 credits
Bigger Advanced, Individual Course in Computer Science 9.0 credits
Search Engines and Information Retrieval Systems 9.0 credits
Human-Computer Interaction, Introductory Course 6.0 credits
Multimodal Interaction and Interfaces 7.5 credits
Electricity Market Analysis 7.5 credits
Business Development and Quality Management 7.5 credits
Management of Projects 7.5 credits
Automatic Control, General Course 6.0 credits
Systems and Control in Practice 1.5 credits
Scientific Programming 7.5 credits
Building Networked Systems Security 7.5 credits
Signal Theory 7.5 credits
Digital Communications 9.0 credits
Speech Signal Processing 6.0 credits
Sensor Based Systems 7.5 credits
Embedded Systems 7.5 credits
Embedded Software 7.5 credits
English for Employment 7.5 credits
Rhetoric - the Art of Persuasion 7.5 credits
Technical Communication in English 7.5 credits
English for Writing and Presenting a Degree Project in Science and Engineering 7.5 credits
Industrial Management, Basic Course 6.0 credits
Leadership in Cross-Cultural and Industrial Contexts 6.0 credits
Optimization 6.0 credits
Parallel Computations for Large- Scale Problems 7.5 credits
Applied Linear Optimization 7.5 credits
Probability Theory 7.5 credits
Time Series Analysis 7.5 credits

Year 2

Mandatory courses

Theory and Methodology of Science with Applications (Natural and Technological Science) 7.5 credits
The Sustainable Systems and Control Engineer 3.0 credits
Principles of Wireless Sensor Networks 7.5 credits

Conditionally elective courses

Artificial Intelligence 6.0 credits
Deep Learning in Data Science 7.5 credits
Robotics and Autonomous Systems 9.0 credits
Computational Photography 6.0 credits
Machine Learning 6.0 credits
Artificial Neural Networks and Other Learning Systems 6.0 credits
Machine Learning, Advanced Course 7.5 credits
Speech and Speaker Recognition 7.5 credits
Power System Stability and Control 7.5 credits
Communication and Control in Electric Power Systems 6.0 credits
Computer Applications in Power Systems 4.5 credits
Electrical Machines and Drives 6.0 credits
Power Electronics 6.0 credits
Microsystem Technology 7.5 credits
Hands-On Microelectromechanical Systems Engineering 7.5 credits
Automatic Control, Project Course 15.0 credits
Automatic Control, Project Course, Smaller Course 7.5 credits
Stochastic Control and Optimization 7.5 credits
Queuing Theory and Teletraffic Systems 7.5 credits
Networked Systems Security 7.5 credits
Digital Signal Processing 7.5 credits
Adaptive Signal Processing 6.0 credits
Estimation Theory, Accelerated Program Course 6.0 credits
Matrix Algebra, Accelerated Program 7.5 credits
Computer Hardware Engineering 7.5 credits
Dynamics and Motion Control 9.0 credits
Robust Mechatronics 6.0 credits
Embedded Systems for Mechatronics, II 6.0 credits
Complex Analysis 6.0 credits
Mathematical Systems Theory 7.5 credits
Geometric Control Theory 7.5 credits
Optimal Control Theory 7.5 credits
Regression Analysis 7.5 credits

Recommended courses

Program System Construction Using C++ 6.0 credits
Algorithms and Complexity 7.5 credits
Software Engineering 6.0 credits
Neuroscience 7.5 credits
Language Engineering 6.0 credits
Mathematical Modelling of Biological Systems 9.0 credits
Statistical Methods in Applied Computer Science 6.0 credits
Software Reliability 7.5 credits
Bigger Advanced, Individual Course in Computer Science 9.0 credits
Search Engines and Information Retrieval Systems 9.0 credits
Human-Computer Interaction, Introductory Course 6.0 credits
Multimodal Interaction and Interfaces 7.5 credits
Electricity Market Analysis 7.5 credits
Business Development and Quality Management 7.5 credits
Management of Projects 7.5 credits
Building Networked Systems Security 7.5 credits
Digital Communications 9.0 credits
Speech Signal Processing 6.0 credits
Sensor Based Systems 7.5 credits
Embedded Systems 7.5 credits
Embedded Software 7.5 credits
English for Employment 7.5 credits
Rhetoric - the Art of Persuasion 7.5 credits
German B2 for Engineers 7.5 credits
Technical Communication in English 7.5 credits
French B2 for Engineers 7.5 credits
English for Writing and Presenting a Degree Project in Science and Engineering 7.5 credits
Spanish B2 for Engineers 7.5 credits
Industrial Management, Basic Course 6.0 credits
Leadership in Cross-Cultural and Industrial Contexts 6.0 credits
Optimization 6.0 credits
Parallel Computations for Large- Scale Problems 7.5 credits
Applied Linear Optimization 7.5 credits
Probability Theory 7.5 credits
Time Series Analysis 7.5 credits

Degree project and thesis

The Master's thesis project is typically carried out during the second half of the second year, upon completion of the necessary programme credits. The project may involve work in a relevant industry or in a department at KTH, and may be combined with course work. For students who wish to pursue a career in research, the thesis project offers an excellent opportunity to develop contacts and the skills necessary to work within a research group; and for those wishing to go into industry, it serves as an important introduction and practical foundation for a career with a prospective employer.

Requirements

A completed Bachelor's degree, corresponding to a Swedish Bachelor's degree (180 ECTS credits), or equivalent academic qualifications from an internationally recognised university.
Students in their final year of undergraduate education may apply to KTH and, if qualified, receive conditional acceptance. If you have not yet completed your studies, please include a written statement issued by the degree awarding university. This statement must be certified and stamped by the Academic Registrar's Office, the Examinations Office or equivalent of the institution. Statements from other staff members, such as faculty members, will not be accepted.
Students who are following longer technical programmes, and have completed courses equivalent to a Bachelor´s degree (180 ECTS credits), will be considered on a case-by-case basis.
Cover sheet (generated from the web-based application). However, if you have a Swedish personal ID number or if you choose to upload your documents, the cover sheet is not required.
Certificates and diplomas from previous education at an internationally recognised university.
Transcripts of records (including course list). All courses taken and grades must be included. Sort them in reverse chronological order, i.e. put the last received document on top.
Proof of English proficiency.
A copy of your passport or some other document of identification. If you are from an EU/EEA country or Switzerland and are required to document your citizenship status in order to be considered exempt from paying application and tuition fees, your passport copy must be certified. If you are not a citizen of an EU/EEA country or Switzerland, certification of your passport copy is not required.
Letter of motivation. A letter explaining why you are interested in this programme.
Two letters of recommendation (in English).
Relevant work experience, if any. Work experience with relevance to the subject/field of the programme.
Curriculum Vitae
Completed summary sheet
IELTS A minimum overall mark of 6.5, with no section lower than 5.5 (only Academic Training accepted).
TOEFL Paper-based test: total result of 575 (written test, minimum grade 4.5)
TOEFL Internet-based test: total result of 90 (written test, minimum grade 20)

A Bachelor's degree, corresponding to 180 ECTS credits, including basic mathematics courses in linear algebra, calculus in one and several variables, probability theory and computer science. In addition a course in signals and systems including material about time-continuous and time-discrete systems, sampling, linear filters and systems, transform methods (Laplace and Z) and a course in control engineering is required. The above can also be described as the student to have completed courses corresponding to the following of KTH courses:
SF1624 Algebra and Geometry
SF1625 Calculus in One Variable
SF1626 Calculus in Several Variables
SF1901 Probability Theory and Statistics
SF1634 Differential Equations II
EL1110 Automatic Control, General Course
DD1343 Computer Science and Numerical Methods, part 1

The specific requirements can be assessed as not fulfilled if the average grade is less than 75% of the highest average grade.