Enterprise DevOps

Internet of Things is a dynamically developing technology with high investment attractiveness that is the foundation for many professions of the future in the fields of energy, retail, healthcare, transportation, construction, and others. The comprehensive Master’s program in computer science and engineering provides training for specialists in several fields, such as embedded systems, software engineering and data analysis. Students participate in solutions development based on AI as well as industrial Internet of Things and learn how to create UGV, digital twins, and analytical data processing systems. Graduates are able to analyze and easily design systems of different functionality that are based on the Internet of Things technologies.

Building information modeling is becoming an increasingly popular tool in the field of construction. The design philosophy is changing, making the demand for BIM engineers and other specialists grow. The full-time Master’s program in BIM Technologies in Design and Construction is a unique combination of the construction sphere and technologies aimed at producing specialists with data analysis intelligent techniques and programming fundamentals who will learn how to implement BIM solutions in construction and manufacture. Graduates become well-paid specialists and work in Russian and international high-profile companies as BIM managers, BIM coordinators and IT specialists in the BIM environment or continue their academic career.

The Master’s program in Industrial Design and Engineering produces specialists with scientific, creative and technological project activity methods in the field of Industrial Design and Engineering. The program launched in 2021 with the support of 2050.LAB, has a wide network of industrial partners such as Sber AI, Karfidov Lab, KUZIN Machinery, SmirnovDesign, T1, Moscow Transport Museum, Moscow Design Museum and Tsaritsyno Museum Reserve.

The Master’s program is the continuation of the undergraduate program in Industrial Design and Engineering that has a multitrack format. Industrial design is a key element in product creation, an innovation driver, and the basis for stability in economics. The development of this field and the attraction of new specialists facilitate the competitive capacity of enterprises and hasten the process of transition to the digital era.

Data Scientist is the most in-demand job in the field of Big Data. Master the best practices and technologies of the rapidly developing IT sector at the intersection of intelligent technologies and business and work remotely from anywhere in the world. Data scientist key responsibilities are processing and analyzing large amounts of unstructured data, creating predictive models using mathematical methods, training neural networks, working on new products and optimizing key business processes for production and society.

According to recruiting agencies, thousands of companies in Russia are looking for specialists in the field of Data Science. The average salary of graduates employed in the IT sector is around 200,000 rubles and it has no upper limit in practice.

Immerse yourself in the field of Data Science and build a career as a data engineer. The program in Data Engineering produces in-demand and highly paid specialists to work in teams of developers and analysts in a wide variety of fields: IT, banking, marketing, online retail, manufacture, telecommunication.

The program has educational tracks. During the learning process you can choose one of three educational tracks: “Data Engineering”, “Python Developer” or “Machine Learning”. Only paid education is available.

As data amounts increase every year in the modern world, many companies are interested in creating tools to filter, generate and identify workflow. The development of natural language processing (NLP) technologies helps businesses solve problems in text and speech analysis and computer processing using artificial intelligence and machine learning algorithms. During the Master’s program in Natural Language Processing, students will study major branches of traditional linguistics and applied data analysis algorithms, gain necessary skills for programming, learn how to create speech recognition systems and digital assistants (Alisa, Marusya, Siri) and will be able to process a large request and document stream, detect spam and define the emotional coloring of the text. Graduates will become in-demand NLP specialists who can work in high-profile IT companies as well as small startups connected with data analysis.

New program. Page under development.