Smart Systems

The Master of Science in Smart Systems at Furtwangen University offers students a comprehensive interdisciplinary education focused on the development, integration, and application of intelligent systems across various industries. This program is designed for graduates seeking to deepen their knowledge in areas such as embedded systems, Internet of Things (IoT), machine learning, artificial intelligence, and robotics. Throughout the coursework, students explore the design and implementation of smart devices, their connectivity, and their role in creating innovative solutions for real-world problems. The curriculum emphasizes both theoretical foundations and practical skills, providing hands-on experience through laboratory work, projects, and internships. Students are encouraged to work on interdisciplinary teams, fostering collaboration skills essential for modern technology development. The program prepares graduates for careers in industries such as manufacturing, healthcare, automotive, and consumer electronics, where intelligent systems are becoming indispensable. In addition to technical expertise, the program also covers topics like data security, ethical considerations in AI, and user-centered design, ensuring that students are well-equipped to address the societal impacts of smart technologies. The Master's degree aims to develop not only technical proficiency but also critical thinking and problem-solving abilities, enabling graduates to lead innovations in this rapidly evolving field. The program is delivered by experienced faculty members who are actively involved in research and industry collaborations, providing students with insights into the latest trends and developments in smart systems. Graduates of the MSc in Smart Systems are prepared to pursue careers in R&D, product development, consulting, or to continue their studies through doctoral research. The program’s strong focus on practical application, combined with an interdisciplinary approach, makes it an ideal choice for students passionate about pioneering the future of intelligent technologies and shaping the digital transformation across sectors.

Educational organisation

Students take classes and labs from core areas related to smart systems. Classes can be spread out over more than two semesters. However, students must be enrolled as full-time students during the thesis semester.
For details, please see: http://en.hs-furtwangen.de/degree-career/postgraduate-programmes/smart-systems-master.html

Internships

An internship is not required as part of the programme

Forms of assessment

Depending on the class: written examination, homework, lab work, presentation

Course objectives

Smart Systems Programme objectives

• Knowledge of basic theory and functions of smart systems
• Knowledge of important components and modules of smart systems
• Understanding of design methods, production techniques and implementation of new smarter systems
• Understanding of signal processing for and communication between smarter systems
• Understanding of modelling and simulation methods for smart systems
• Understanding of smarter systems applications using examples
• Ability to take a holistic view and carry out interdisciplinary analysis and design of smart systems (systematic thinking)

Job-oriented objectives

• Knowledge of interdisciplinary, system-oriented methods, which take account of rapid technological developments, in several smart systems areas (electronics, microsystems technology and computer applications)
• Familiarity with complex, workplace-relevant software and hardware tools in the areas of design, simulation and physical technology
• Ability to foresee and evaluate innovative developments and actively affect the shape they take

Language requirements

Applicants must provide proof of their German and English skills.
Level of English: TOEFL (IBT) 90 points, or IELTS 6
Level of German: level A1
Applicants whose native language is German need level B1 in English.

Application forms are available at: http://en.hs-furtwangen.de/faculty/mechanical-and-medical-engineering/smart-systems-master/apply-now.html

Academic requirements

Bachelor's degree in engineering
Language skills

• German A1
• English TOEFL (IBT) 90 points - or - IELTS 6 (non-German native speakers)
• English B1 (German native speakers)

Enrolment fees

120 EUR per semester
This includes fees for the students' union as well as for the social and administration office.

Costs of living

Approx. 750 EUR per month
This includes accommodation (200-300 EUR per month) and living expenses (food, clothing, etc., at least 400 EUR per month).

Job opportunities

Normally, a limited number of student assistant jobs will be available within the faculty or the university.

Arrival support

Support is available by phone or e-mail to answer any questions a student may have while preparing for his/her move to Germany. If necessary, students can be assisted in finding their way from the train station to the university or to their accommodation.
In addition, the International Center organises an orientation programme for international students in the two weeks prior to the beginning of the semester. Most of the administrative issues facing newly arrived students in Germany will be covered in this programme.

Services and support for international students

Students can obtain support from the programme director and the staff of the Faculty of Mechanical and Medical Engineering.
The International Center helps our international students to study successfully at our university. For example, it offers a range of free excursions which help international students to get to know Germany better.

Accommodation

Various types of accommodation are available. Most of our graduate students stay in student halls of residence. Privately rented rooms are usually slightly more expensive. Rent ranges from approx. 200-300 EUR. Rent in Furtwangen is typically less expensive than in many other university locations in Germany. Assistance in finding accommodation will be provided upon special request if you apply and are admitted in time.