Shape your career with pioneering IoT expertise at the interface of technology and innovation.
What is Computer Engineering for IoT Systems?
The Computer Engineering for IoT Systems degree programme is an interdisciplinary field that focuses on the integration of hardware and software systems to create interconnected networks of smart devices. These systems are designed to collect, process and exchange data to enable automated decision-making processes in various application areas such as smart homes, industrial automation, healthcare and more.
The programme combines the fundamentals of computer engineering with specialist knowledge in the field of IoT and enables students to master the challenges of developing secure, efficient and scalable IoT solutions.
Fields of work
Graduates of the Computer Engineering for IoT Systems degree programme have a wide range of career opportunities in various sectors. You can work in roles such as IoT System Architect, Embedded Systems Engineer, Cloud Solutions Architect and many more.
The skills you acquire during your studies will prepare you for management positions in industries such as manufacturing, healthcare, smart cities and telecommunications, where the need for IoT expertise is constantly growing.
At a glance
Study programme
Info
Short description:
CES
Academic degree:
Master of Engineering (M.Eng.)
Standard period of study / scope of services:
3 semesters / 90 ECTS credits
Teaching language:
English
Study format:
Full-time
Study start:
Start date: The programme starts in both the winter and summer semesters.
Duration: 3 semesters (for students with 210 ECTS credits) or 4 semesters (for students with 180 ECTS credits).
Pre-internship:
not required
Application period:
01.12. to 30.04. via the website of uni-assist (Interested parties with a German university degree via the university's online portal)
Admission restriction:
depending on the capacity
Admission requirements:
To be admitted to the degree programme, applicants must:
A Bachelor's degree in Computer Science, Computer Engineering or a comparable subject with a minimum grade of 2.5 (according to the German grading system).
Proof of English language proficiency at level B2 (TOEFL iBT 79 or higher, IELTS 6.0 or higher).
The APS certificate is required for applicants from India, China or Vietnam.
Tuition fees:
none
The Master's degree programme in Computer Engineering for IoT Systems at Nordhausen University of Applied Sciences was developed to equip students with the technical expertise and innovative thinking needed to succeed in the rapidly developing field of the Internet of Things (IoT).
As more and more industries around the world integrate smart systems into their operations, this programme offers a unique combination of theory and practical skills that will prepare you to design, develop and manage complex IoT solutions.
Information about the degree programme
The curriculum is designed to provide you with a comprehensive education in IoT systems, covering both theoretical foundations and practical applications. Courses include:
IoT system designLearn to develop integrated IoT systems.
Cloud computing for IoTExplore the role of cloud infrastructure in the IoT.
Embedded SystemsFocus on the software and hardware aspects of embedded IoT systems.
IoT securityUnderstand the importance of security in the IoT.
Master thesisApply your knowledge in a research project that addresses real-world challenges in the IoT field.
This degree programme is ideal for graduates in computer science, electrical engineering or related disciplines who have a passion for emerging technologies and wish to specialise in the field of IoT. It is particularly suitable for those who wish to pursue a career in research and development, system design or technical consultancy in the IoT field.
Graduates of this programme are well prepared for sought-after positions in the IoT sector, which covers numerous industries. Typical career paths include:
IoT Systems EngineerDesign and develop integrated IoT solutions for smart systems.
Cloud Solutions ArchitectDevelop and manage cloud infrastructures for scalable IoT solutions.
Embedded Systems DeveloperDevelop software and hardware solutions for embedded IoT devices.
Technical consultantAdvise companies on the implementation of IoT technologies to optimise processes.
The skills you gain on the programme will make you a valuable asset in industries such as manufacturing, healthcare, smart cities and telecommunications.
Applicants must submit the following documents:
Notarised copy of the Bachelor's certificate and the degree certificate
Proof of English language skills (TOEFL, IELTS or equivalent)
APS certificate (for students from India, China or Vietnam)
A letter of motivation outlining your interest in the programme and your future career goals
Conclusion: Master of Engineering (M.Eng.) in Computer Engineering for IoT Systems
Recognition: Recognised by leading industry and academic institutions
Accreditation: Accredited by ACQUIN, which ensures high educational standards and industry relevance.
Applications from international prospective students for Bachelor's and Master's programmes are submitted via uni-assist.
There, experts will check your documents and, after a successful assessment, forward them to Nordhausen University of Applied Sciences, which will decide on admission.
for the Master's programmes with 90 ECTS credits in the Department of Engineering at Nordhausen University of Applied Sciences
Reading Version in English language Edition Oct 2024
This reading version is based on the official examination regulation published in German language in the official announcements of the UAS Nordhausen no. 06/2020, and on the first modification published in the official announcement no. 22/2022, and on the second modification published in the official announcement no. 04/2024.
Fifth statute amending the study regulations for the Master's degree programmes in the Faculty of Engineering at Nordhausen University of Applied Sciences
Second amendment to the examination regulations for the Master's degree programmes in the Faculty of Engineering at Nordhausen University of Applied Sciences
Why you should study Computer Engineering for IoT Systems at HSN:
Studying at Nordhausen University of Applied Sciences offers several advantages:
Practical learningThe programme places great emphasis on practical experience through projects and internships, allowing students to get to know real challenges in the IoT sector.
State-of-the-art equipmentAccess to state-of-the-art laboratories and equipment ensures that students are well prepared for the demands of the IoT industry.
International focusWith English as the language of instruction and a diverse student body, the programme promotes a global perspective that is crucial in today's interconnected world.
Strong industry connectionsPartnerships with leading technology companies provide networking opportunities and increase employability after graduation.
Contact
It's easy to secure your place on your desired degree programme online!
Our Campus Management System HISinOne makes it possible:
Simply upload all your application documents in PDF format to the relevant fields in the online portal. And if you still need to submit something, that is No problem! You can easily send missing documents by e-mail to our Study Service Centre: Simply contact us at .
We know that student budgets are often tight. That's why we want to reassure you right away: At our university there are No tuition fees!
To support you in financing your studies, we provide you with the following information at BAföG helpful tips on how to apply and ensure that your application is complete. You will also find important contacts there. We want to support and encourage particularly talented and motivated students.
Under Scholarships you will find information on various scholarship programmes. There are also other funding options, such as the 'StudiumThüringenPlus' study start-up grant, parental funding, child benefit and the opportunity to earn your own money through a student job.
Unlike at a university, you will receive more support in your learning process at our university. We provide learning objective control questions, enable you to deepen your knowledge through exercises and also facilitate a great deal of interaction in lectures and seminars. These are big differences to courses with >300 students.
Do you have general questions about studying or need help with your application?
Credit points are earned for successfully completed coursework and examinations in accordance with the "European Credit Transfer and Accumulation System" (ECTS).
The ECTS points reflect the average learning effort. One ECTS point corresponds to 30 hours of study.
Based on the ECTS points, the study and examination achievements are internationally comparable.
Study Service Centre
+49 3631 420-222
House 18, Level 1, Room 18.0105