Artificial Intelligence and Machine Learning

Peter the Great St. Petersburg Polytechnic University
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1
Contract-based places
20
places on a budget basis
4 018
$
Cost of tuition per year

About the training program

This program is one of the pioneering and most critical in today's field of artificial intelligence. Its goal is to train unique specialists—future leaders in AI—who will contribute to the national initiative of building a digital economy. The program is designed to meet the growing demand for AI experts across industries such as manufacturing, healthcare, and finance. A key feature of the program is its access to the renowned Supercomputer Center at the Polytechnic University, providing students with cutting-edge computational resources for advanced AI research and development.

What will they teach you?

  • Machine Learning – Fundamentals and advanced algorithms
  • Big Data Analytics – Processing and interpreting large-scale datasets
  • Supercomputing & Parallel Programming – High-performance computing (HPC) techniques
  • AI-Driven Application Design – Developing scalable AI solutions
  • Industrial Python Programming – Efficient coding for AI/ML deployment
  • Applied Machine Learning – Real-world problem-solving in industry and research
  • Cloud Computing Technologies – AWS, Azure, and hybrid cloud platforms for AI
  • Deep Learning – Neural networks, NLP, and computer vision
  • Decision-Making Under Uncertainty – Probabilistic models and optimization

What do graduates do?

Career Paths for Graduates: • Data Analyst – Interpreting complex datasets to drive business decisions. • Machine Learning Specialist – Designing and optimizing AI/ML models for real-world applications. • Data Scientist – Solving analytical problems using statistical and machine learning techniques. • Big Data Engineer – Building scalable pipelines for large-scale data processing. • Intelligent Systems Developer – Creating AI-powered solutions (e.g., robotics, autonomous systems). Industry Demand: These roles are critical in sectors like finance, healthcare, manufacturing, and tech, aligning with global trends in AI and digital transformation.

Pass score on budget

2025
90
2024
90
2023
90

Entrance tests

Exam 1 from 2

Russian Language

Exam 2 from 2

Interview

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