Data Science

Program director: Maxim Fedorov

Program director: Maxim Fedorov

Also implemented in network form with Higher School of Economics (HSE) and Moscow Institute of Physics and Technology (MIPT).

Track "Machine Learning and Artificial Intelligence"

Track "Data-Intensive Mathematical Modelling and Simulations"

Compulsory Part

Numerical Linear Algebra

Machine Learning

Deep Learning

Elective Part

Introduction to Data Science

Introduction to Artificial Intelligence

Computational Imaging

Foundations of Software Engineering

Efficient Algorithms and Data Structures

Theoretical Methods of Deep Learning

Convex Optimization and Applications

Introduction to Computer Vision

Statistical Natural Language Processing

Principles of Applied Statistics

Perception in Robotics

Introduction to Digital Agro

Information and Coding Theory

Introduction to Digital Pharma

Advanced Statistical Methods

Statistical Learning Theory

Geometric Computer Vision

Biomedical Imaging and Analytics

Omics Technologies

Geometrical Methods of Machine Learning

Machine Learning in Chemoinformatics

Neural Natural Language Processing

Safety Aspects of Artificial Intelligence

Planning Algorithms in Artificial Intelligence

Bayesian Methods of Machine Learning

Matrix and Tensor Factorizations

Neuroimaging and Machine Learning for Biomedicine

Reinforcement Learning

Biomedical Mass Spectrometry

Models of Sequential Data

Elective Part

Introduction to Data Science

Scientific Computing

Soft Condensed Matter

Stochastic Methods in Mathematical Modeling

Foundations of Multiscale Modeling: Kinetics

Numerical Modeling

High Performance Computing and Modern Architectures

Thermodynamics and Transport at Nanoscale