Courses HSE/Skoltech
| 1st year | |
| Basic Courses | |
| Modern Methods of Data Analysis: Stochastic Calculus Credits: 6; University: HSE; Module: 1-2. |
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| Project Seminar/ Innovation Workshop Credits: 6; University: Skoltech; Module: 1. | |
| Numerical Linear Algebra Credits: 6; University: Skoltech; Module: 2. |
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| Modern Methods of Decision Making: Advanced Statistical Methods Credits: 6; University: HSE/Scoltech; Module: 3. |
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| Machine Learning Credits: 6; University: Scoltech; Module: 3. |
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| High-dimensional Statistical Methods Credits: 6; University: HSE; Module: 3. |
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| Elective Courses | |
| Introduction to Data Science 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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| Digital Image Processing Credits: 3; University: Skoltech; Module: 2. |
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| Information and Coding Theories Credits: 6; University: Skoltech; Module: 3. |
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| Deep Learning Credits: 6; University: Skoltech; Module: 4. |
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| Geometrical Methods of Machine Learning Credits: 3; University: Skoltech; Module: 4. |
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| 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. |
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| Elective Courses | |
| Bayesian Methods for Machine Learning Credits: 6; University: Skoltech; Module: 1. |
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| Random Matrix Theory Credits: 6; University: HSE; Module: 1. |
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| Neurobayesian Models Credits: 6; University: HSE; Module: 3. |
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