The Electrical Engineering and Embedded Systems master's program at University of Applied Sciences Ravensburg-Weingarten is a full-time, three-semester course commencing each winter semester. All lectures, labs, and practical exercises are conducted on campus at RWU, minimizing commuting between locations. The program emphasizes practical application and research in areas such as embedded computing, control systems, signal processing, wireless communication, and hardware engineering, including System-on-Chip design. It provides a solid foundation in advanced mathematics and prepares students for careers in research, development, and industry, including fields like autonomous driving and IoT. The curriculum is designed to foster international competencies and practical skills, facilitating employment with leading companies like Bosch, BMW, and ZF. Although internships are optional, RWU encourages voluntary internships to enhance practical experience and professional networks. Graduates are eligible to pursue a PhD in related fields.
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The Electrical Engineering and Embedded Systems master's program at University of Applied Sciences Ravensburg-Weingarten is a full-time, three-semester course commencing each winter semester. All lectures, labs, and practical exercises are conducted on campus at RWU, minimizing commuting between locations. The program emphasizes practical application and research in areas such as embedded computing, control systems, signal processing, wireless communication, and hardware engineering, including System-on-Chip design. It provides a solid foundation in advanced mathematics and prepares students for careers in research, development, and industry, including fields like autonomous driving and IoT. The curriculum is designed to foster international competencies and practical skills, facilitating employment with leading companies like Bosch, BMW, and ZF. Although internships are optional, RWU encourages voluntary internships to enhance practical experience and professional networks. Graduates are eligible to pursue a PhD in related fields.
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400 Students
AI/ML, Systems, Theory, Human-Computer Interaction
Access to cutting-edge research labs and industry partnerships
70.0
Starting 2026-09-01
Apply before 2125-04-18
Unknown
Courses include:Mathematics CommunicationCircuit & SystemsCommunicationSignal processingAdvanced ControlSystemsEmbedded Computing
No academic requirements found.
Applicants must hold a completed Bachelor's degree in electrical engineering, electronics, communications engineering, automation, power engineering, or a related field, with a minimum final grade of 2.5 (German grading system) and at least 210 ECTS credits (equivalent to a four-year full-time program). Those with only 180 ECTS must fulfill additional criteria. Candidates should have proven English language proficiency (TOEFL iBT score ≥70 or IELTS band score ≥6.0), knowledge of VHDL/Verilog, proficiency in an object-oriented programming language such as C++ or Java, and strong mathematical skills. Admission is based on academic performance, with priority given to transcripts from the 6th and 7th semesters, excluding 6th-semester-only transcripts.
₹1,56,375/Year
Annual Fee
1½ years
Total Duration
No Living costs available.
No University Scholarships Available
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Amount
1250 USD
Deadline
Not specified
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Amount
Various benefits
Deadline
Not specified
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Amount
Various benefits
Deadline
Not specified
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Amount
2000 USD
Deadline
15 Apr 2025
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Amount
300 EUR
Deadline
Anytime
No Eligibility Requirements Available
No Application Steps Available
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