The term "Internet of Things" doesn't have a single definition and people today often use it to interchangeably refer to Wireless Sensor Network (WSN), Machine-to-Machine (M2M), Web of Things (WoT) and other concepts. The focus of IoT Track is to learn about these technologies that will be extending the Internet as we know it and use it today, to interconnect not only people and computers but also sensors and associated objects.

Namely the Track will cover IoT "pillar" technologies including wireless communications, sensing, data and signal processing, and give the opportunity for hands-on sessions where the students will become familiar with the hardware and software supporting the IoT. Apart from covering the theory behind the IoT and "how to connect things to the Internet", the courses will therefore also engage the students to demonstrate the feasibility of simple IoT real applications and will challenge them to improve their applications through the use of cognitive technologies and cloud computing.

This track is also available in a network form with TUSUR (Tomsk), SUAI (St. Petersburg) and Bauman MSTU (Moscow).

A successful graduate of this track will be able to:

• Use existing IoT technologies to produce applications which leverage on sensed data.
• Devise solutions for industrial cases (transport, healthcare, agriculture etc.) using IoT.
• Apply the theory behind the IoT to construct IoT real applications and improve them through the use of smart technologies.

More information about the IoT & Next Generation Wireless Technology track can be found here.

In the modern world one cannot imagine competing in science, business or industry without using powerful supercomputers capable to efficiently handle large scale calculations possibly on exponentially growing amounts of data. The focus of this track is to teach students how to efficiently and easily utilize modern supercomputing and Big Data architectures such as multi-core CPUs and GPUs for various applications in science and industry. Specifically, besides theoretical knowledge about parallel computing and Big Data, students will become familiar with standard parallel computing libraries (such as OpenMP, MPI, OpenACC and CUDA), Big Data frameworks (Hadoop), machine learning frameworks (such as Tensorflow), as well as visualization software (ParaView, Visit).

Additionally, students will be given a possibility to construct their own mini-supercomputer on the hands-on course, and learn how to maintain and administer it. Students will be given a chance of using Skoltech's world-class HPC facilities to learn typical methods and rules of working on the large-scale collectively used supercomputers.

A successful graduate of this track will be able to:

• Use existing HPC and Big Data frameworks to successfully answer modern world challenges.
• Develop and optimize massively parallel computer codes capable to efficiently use modern architectures, such as CPUs and GPUs.
• Administer and maintain HPC and Big Data infrastructure.
  

More information about the High Performance Computing (HPC) and Big Data track can be found here.

This track develops world-class professionals who specialize in an intersection of areas related to computer networks, the design of complex distributed systems, data processing and analysis, and machine learning. During the studies, the students will be able to collaborate with internationally recognized faculty and scientists of Lomonosov Moscow State University and Skoltech as well as leading global experts in Big Data, complex distributed systems, machine learning, and IoT.

The curriculum is designed in a way that allows students to master state-of-the-art methods and technologies of designing distributed computer systems and networks, modern computing architectures, cloud computing, virtualization, machine and deep learning, distributed algorithms, applied statistics, software protection, and logical verification.

The career path of successful graduates includes cloud architects, cloud system engineers, data scientists, DevOps engineers, Full-stack developers, IoT and network specialists equipped with a wide range of practical skills allowing them to be popular in the labor market.

A successful graduate of this track will be able to:

• Develop complex distributed computer systems and networks
• Use cutting-edge network technologies used internationally
• Create efficient infrastructures for IoT, Big Data, and Data Centers