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In the present days, one can not imagine the aerospace industry or any other high-tech industries without AI, machine learning or neural networks. The computition are becoming more complex and demand more accurate instruments, and specialists able to use them. The following program includes a balanced curriculum, allowing students to obtain advanced knowledge and skills in development and application of AI, machine learning or neural networks, their various methods and approaches. 

Degree title                           

Master of Science in Artificial Intelligence and Machine Learning

Duration2 academic years
Application deadline10.08 (fall semester)
Contact for application issues

International Admission Office (preferably)

E-mail: omrs@tpu.ru

Tel: +7 (3822) 60-64-76

Online Application

Program contacts:

Division for Information Technology

Learning output

The program was designed to equip students with necessary skills, allowing them to:

  • apply modern methods and algorithms of computational intelligence for data analysis
  • apply computer vision algorithms to process and analyze digital images
  • develop and apply methods for detecting objects in images and video sequences
  • develop and apply algorithms for neural network recognition of objects on images
  • develop and apply methods of neural network recognition of texts on images and video recordings
  • develop and apply algorithms of neural network time series forecasting


The program curriculum includes the following subjects:

  • Smart Systems
  • Pattern Recognition Methods
  • Neuroevolutionary Computation
  • Intellectual Image Processing and Analysis Methods
  • Methods of Computer Image Processing
  • Neural Networks
  • Algorithms for Neural Network Processing
  • Methods of Computational Intelligence
  • Artificial Intelligence Technology
  • Professional English
  • Project Management
  • and others


Areas of expertise and employment

The program graduates can work at research and industrial organizations as engineer-programmers. Their areas of specialization include information and computer technologies, global and local computer networks, space technology, unmanned aerial vehicles, electronics, automation, control systems, technical diagnostics, and pattern recognition. The carefully designed program ensures the graduates' professional success and ensures their employment within their areas of specialization.

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