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Practical Artificial Intelligence
09.04.02
Practical Artificial Intelligence

Уровень образования

Магистратура

Длительность обучения

2 года

Форма обучения

Очно

Проходной балл в 2025

-

Бюджетных мест в 2026

Нет

Контрактных мест в 2025

20

Стоимость обучения

To 245 000 per year

Руководитель образовательной программы
Руководитель образовательной программы
Dr. Vasilii I Borisov

Особенности поступления 2026

Календарь поступления

Документы для поступления

О программе

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.

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.

The students of the Practical Artificial Intelligence program can participate in the UrFU Data Science Competitions Workshop where they participate in the Kaggle competitions and are able to develop their Kaggle profile.

Syllabus:

First semester
- Mathematical foundations of artificial intelligence
- Python Programming
- Fundamentals of Software Engineering
- Philosophy and methodology of science
- Machine learning
- Project workshop

Second semester
- Machine learning
- Time series analysis
- Computer vision
- Advanced Software Engineering
- Mobile application development
- Project workshop

Third semester
- Sports data analysis
- Business Intelligence Tools
- Natural Language Processing
- Production, research work
- Project workshop

Fourth semester
- Industrial practice, research work
- Educational practice, technological (design and technological)
- Completion and defense of final qualifying work

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