Practical Artificial Intelligence
The head of the educational program
Program partner
Program Goals
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:
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.
Entrance tests
Program Advantages
You can build a portfolio of data science 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.
Curriculum
List of instructors and professors
№ | Full Name of the teacher | Position, academic degree | Discipline’s name |
1 | Associate professor, Candidate of Sciences | Design Workshop | |
Research work | |||
State final certification and Thesis Defense | |||
2 | Associate professor, Candidate of Sciences | Machine learning methods | |
Data Science Competitions | |||
Design Workshop | |||
3 | Associate professor, Candidate of Sciences | Mathematical Foundations of Artificial Intelligence | |
4 | Associate professor, Candidate of Sciences | Time Series Analysis
| |
Computer Vision | |||
Research work | |||
5 | Associate professor, Candidate of Sciences | Python | |
Research work | |||
6 | Associate professor, Candidate of Sciences | Philosophy and methodology of science | |
7 | Associate professor, Candidate of Sciences | Natural Language Processing | |
Research work | |||
8 | Associate professor, Candidate of Sciences | Web technologies in business | |
Development of web applications | |||
9 | Associate professor, Candidate of Sciences | Development of mobile applications | |
10 | Associate professor, Candidate of Sciences | Business Analytics |
Career Opportunities
After graduating from the program, you will be able to work in banks, Internet companies, telecom operators, software development companies, artificial intelligence startups, and many other exciting companies.
Possible job positions
Admission Requirements
Additional requirements
Knowledge and skills:
Questions
Can I pay for this program in installments?
Where is the Campus located?
What other funding options do you have for this program?
What documents are required to apply to this program?
All the applicants should submit the following suite of documents to be checked by the Admission board:
Please, consider that the documents in English, French, and German are also accepted for preliminary eligibility check. But at the stage of Admission, all the documents require notarized translations into the Russian Language.
What is the admission process for this program?
Document recognition
All the applicants should submit the suite of required education documents (Bachelor’s Diploma + Transcript of grades for the whole period of study) to be checked by the Admission board (the check takes 2-4 days)
Interview
Each applicant should pass one entrance exam in the form of an interview via Zoom with the Program Administrator. The interview is scheduled individually, all the details should be negotiated with the admissions manager.
Сontacts
Сoordinates:
Executive secretary: Sergeeva, Lyubov`
Phone number:
(343) 375-93-71
E-mail:
rtf.priem@urfu.ru, l.v.sergeeva@urfu.ru
Website:
priem-rtf.urfu.ru
Vkontakte community:
АБИТУРИЕНТ ИРИТ-РТФ
Telegram community:
МАГИСТРАТУРА ИРИТ-РТФ
Создано / Изменено: 14 июля 2020 / 24 июля 2024
© ФГАОУ ВО «УрФУ имени первого Президента России Б.Н. Ельцина»
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Дизайн портала: Artsofte
Институт радиотехники и информационных технологий - РТФ
Отборочная комиссия ИРИТ-РТФ:
+7 (343) 310-01-75
E-mail: rtf.priem@urfu.ru
Контакты
Отборочная комиссия ИРИТ - РТФ
Адрес: г. Екатеринбург, ул. Софьи Ковалевской 5, Т-907
Телефон: +7 (343) 310-11-66
E-mail: rtf.priem@urfu.ru
Сайт: priem-rtf.urfu.ru