Practical Artificial Intelligence

Program description:

ch
Area of studies:
09.04.02
Information Systems and Technologies
ch
Branch of science:
Engineering, Technology and Engineering Sciences
ch
Institute:
Engineering School of Information Technologies, Telecommunications and Control Systems
ch
Degree awarded:
Master's degree
ch
Intake Year:
2022
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Mode and duration of study:
About admission this year, see here
Programs Open for Enrollment

The program focuses on various applications of data science and artificial intelligence. You will learn how to build artificial intelligence systems using state-of-the-art machine learning algorithms.

The program is for software developers and engineers, mathematicians, and computer science specialists, who want to move to the artificial intelligence field. The aim of the program is to develop artificial intelligence systems and put them into production.

The program is devoted to three practical areas:

• Algorithms and methods of machine learning and artificial intelligence, including both classical machine learning and modern deep neural networks.

• Various applications of machine learning and artificial intelligence systems such as computer vision, natural language processing, and time series analysis.

• Development of software for building machine learning and artificial intelligence systems, including Python programming and modern tools for business analysis and applied development.

In addition to theoretical courses, the program includes a project workshop. During the workshop, students are working on real data science and artificial intelligence projects from companies. 

You can build a portfolio of data science and artificial intelligence projects for your resume during project workshops.

The students of the Practical Artificial Intelligence program can participate in the UrFU Data Science Competitions Workshop where they participate in the Kaggle (www.kaggle.com) competitions and are able to develop their Kaggle profile. Expert Kaggle's profile is considered as an advantage by many companies that hire data scientists.

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