Courses HSE/Skoltech
| 1st year | |
| Basic Courses
| |
| Modern Methods of Data Analysis: Stochastic Calculus Credits: 9; University: HSE; Module: 1-2. | |
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Credits: 3; University: HSE; Module: 3,4. | |
| Credits: 6; University: Skoltech; Module: 2. | |
| Modern Methods of Decision Making: Advanced Statistical Methods Credits: 3; University: HSE/Scoltech; Module: 4. | |
| Machine Learning Credits: 6; University: Scoltech; Module: 3. |  |
| High-dimensional Statistical Methods Credits: 6; University: HSE; Module: 3. | |
| Elective Courses | |
| Introduction to Data Science Credits: 3; University: Skoltech; Module: 1. |  |
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| Introduction to Artificial Intelligence
Credits: 3; University: Skoltech; Module: 1.
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| Efficient Algorithms and Data Structures Credits: 6; University: Skoltech; Module: 2. |  |
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Computational Imaging | |
| Theoretical Methods of Deep Learning Credits: 3; University Skoltech; Module: 2. | |
|
Introduction to Computer Vision | |
| Statistical Learning Theory Credits: 6; University: Skoltech; Module: 4. | |
| Deep Learning Credits: 6; University: Skoltech; Module: 4. |  |
| 2nd year | |
| Basic Courses | |
| Modern Algorithmical Optimization Credits: 6; University: HSE; Module: 1-2. |  |
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| Research Seminar Credits: 6; University: HSE; Module: 1-2. | |
| Elective Courses | |
| Bayesian Methods for Machine Learning Credits: 6; University: Skoltech; Module: 1. |  |
| Random Matrix Theory Credits: 6; University: HSE; Module: 1. | |
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| Mathematical Foundations of Reinforcement learning (HSE) |
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Statistical Learning Theory