Education Industry i.e. universities mainly in Europe and online platforms like coursera are launching courses specific to the stream of IoT to provide a pool of trained and talented IoT professionals. Most of these courses are still in their early stages as they have been recently launched and also many of them are online, very few being taught in universities.
Through this article we explore the top universities that offer courses in the field of ‘Internet of Things’ and have an in-depth look as to what they offer their students. This list does not include courses offered by online platforms like Coursera or EdX, though one can find many IoT courses on those platforms.
IoT India Magazine brings you a list of top 10 University courses in the field of IoT around the world (listed in alphabetic order). This would help our IoT aspirants, who wish to enter the field of IoT and contribute to the change, to get a fair idea of various education options available worldwide.
The Internet of Things (IoT) Engineering is an interdisciplinary bachelor’s degree programme that combines the study of electronic engineering and computer science, with an emphasis on internet technologies, wireless communications, sensor devices, and cloud computing. The Internet of Things (IoT) programme modules are taught in English. The majority of course modules are taught by University College Dublin academic staff who are experts in research areas relevant to this exciting interdisciplinary programme. The Internet of Things (IoT) programme provides access to state-of-the-art technologies and students will engage in the creative development of the innovative Internet of Things. The first two years of instruction offer twice as much English language exposure than is currently required by the Chinese educational system. Students will graduate with two degrees from both Beijing University of Technology and University College Dublin, both highly regarded world-class universities.
The Master in Internet of Things (IoT) is the answer to the ongoing revolution of the new generation of uses and applications of mobile devices, wearables and ubiquitous sensors rapidly emerging with the deployment of new networks and specialized hardware.
The program provides the knowledge to develop solutions in different hardware platforms and networks from a holistic perspective, from data acquisition to analysis, including the potential of Big Data technologies in the backend need.
The aim of this course is that students should deepen their understanding of the Internet of Things (IoT) and how to design and engineer IoT-based systems. This Internet of Things master course involves advanced technologies and research in Computer Science.
Application areas include for instance: smart transportation, smart cities, smart living, smart energy, smart health, and smart learning.
Relevant research areas include for instance Self-Adaptive Systems, Cyber Physical Systems, Systems of Systems and Engineering of all such systems.
Within this master course the student has the possibility to deepen her/his own understanding of Computer Science and Internet of Things and to develop the basis to continue her/his studies after graduate level (PhD studies).
While the promise of the Internet of Things (IoT) brings many new business prospects, it also presents significant challenges ranging from technology architectural choices to security concerns. MIT Professional Education’s new Internet of Things: Roadmap to a Connected World course offers important insights on how to overcome these challenges and thrive in this exciting space.
The concept of Internet of Things (IoT), which has roots at MIT, has begun to make an impact in industries ranging from industrial systems to home automation to healthcare. MIT researchers continue to conduct ground-breaking research on topics ranging from RFID to cloud technologies, from sensors to the World Wide Web.
This innovative Internet of Things (IoT) MSc programme will help you adapt to become one of the highly skilled and in-demand engineers who are able to fully exploit the potential that these technologies offer. The MSc in IoT is designed to meet the demand for a new kind of IT specialist and skills, those who can:
- engineer new interactive products – things;
- acquire, fuse and process the data they collect from things;
- interact with, and interconnect these things as part of larger, more diverse, systems.
The MSc IoT is organised along 3 pathways: Data pathway, Engineering pathway, and the Intelligent Sensing pathway to enable students to focus on these different aspects of the course.
The Masters in The Internet of Things at Royal Holloway will provide you with advanced knowledge and skills in three essential and critical areas:
- Data analytics is essential for getting value from the IOT. For example, in Formula One racing there are hundreds of sensors providing thousands of data points for analysis such as tyre pressure and fuel burn efficiency, which have to be collected in real-time for very quick analysis by race engineers onsite.
- Distributed computing and systems concern technical aspects such as algorithms for distributed coordination, time-synchronisation, scalable storage, virtualisation and cloud computing technologies, as well as methodological aspects such agent-based modelling and simulation.
- Cybersecurity is another essential aspect of the IOT. Recent news such as the safety recall issued by Fiat Chrysler of 1.4m vehicles in the US after tech magazine Wired reported that hackers had taken control of a Jeep Cherokee via its internet-connected entertainment system, are examples of how privacy, safety and security are major concerns for the IOT.
The programme can be taken part-time over two years, but without a placement.
The University of Oxford has put together a data science course for developers targeting the IoT space based on statistics suggesting that one in five developers are targeting IoT for upcoming projects.
The course duration overall is six months with the first three months being conducted mainly online with a few face-to-face lessons taught at the university’s campus in Oxford. Following this, students have three months of coding exercises and learning consolidation activities.
The four key areas of the course include the IoT ecosystem, data science (including time series data), programming and problem solving, and online engagement and programming exercises.
The University of Oxford says participants are expected to have “a mindset of exploration” to be able to address real world problems with data science.
The course requires students to have a good grasp of mathematics and will use IoT databases, large-scale IoT datasets, specific case studies and commercial data products like MapR, Numenta and MongoDB.
To run the course, the university is also working with IoT companies and organisations such as Hyper/Cat, FlexEye, Microsoft, Siemens and MongoD.
The Master Degree in Internet of Things at the University of Salamanca is designed to train multidisciplinary professionals with the necessary skills to adapt to the different challenges the Internet of Things proposes.
The MSc Internet of Things (IoT) forms part of the Advanced Computing framework here at UWS and is a post graduate course focusing on teaching advance topics of the internet-of-things. It is designed to develop practical skills by providing a comprehensive understanding of fundamental knowledge and hands-on experience of IoT technologies within industry and academia.
In the programme, unique and challenging modules are introduced for example Mobile networks and smartphone applications, Data mining and visualization, in addition to Ethics for IT professionals and Object-oriented analysis and design that provide the basics for Internet of Things (IoT). Advanced wireless networking technologies and Internet of Things are introduced to in depth knowledge of the field. In addition, two modules which focus on research and the latest trends in the field, namely, Research design and methods and Emerging topics in smart networks, help to define and complete the research project on time.
This course will explore the disciplines, technologies, tools and business opportunities involved in both sensing and connecting people, places and things. Powerful, connected, always-on devices and sensors, combined with sophisticated cloud infrastructure, are fast becoming a major focus for new products and services. The graduate will be ideally positioned with a unique combination of knowledge in a new and exciting field.
In keeping with IoT trends, the programme will avail of open, web-based technologies and accessible electronic devices that are driving the emergence of IoT. Students will be encouraged to connect and incorporate their own personal devices in project work. They will programme diverse devices, including embedded sensors, mobile phones, single board computers and cloud systems. e.g. Raspberry Pi
Students will also share and disseminate their work using industry standards and collaborative tools, such as github, building a digital portfolio of work, which will allow them to showcase their broad spectrum of skills to potential employers.