Master in Data Science

Skoltech is an international technological university of a new type. Combining world-class education with state-of-the-art research and applied technologies, it nurtures a new generation of technological leaders for high-tech industries. Skoltech is one of the best young universities in the world with globally-renowned faculty and research teams, unique labs, a vast network of partnerships and an alumni community across the globe.

Monthly scholarship (up to 55.000 rub/month) + full tuition waiver + coverage of relocation costs

The Skoltech Data Science program aims to train young leaders in artificial intelligence research. We provide high-quality knowledge and skills in fundamental and applied disciplines such as deep learning, generative modeling, transformers and large language models, numerical linear algebra, and optimization. The courses are taught by top active researchers in AI with publications at A* conferences and dozens of successfully completed industrial projects. Our program enables learning the mathematical and algorithmic foundations of AI, conducting research in the field of AI, including on generative and multimodal models and in other cutting-edge domains, creating efficient AI models to address practical problems.

Knowledge and skills: Calculus, differential equations, linear algebra, probability theory and mathematical statistics, discrete mathematics (including graph theory and basic algorithms), programming. Education: Bachelor's Degree or its equivalent in Mathematics, Computer Science, Information and Communication Technology, or related disciplines. English language: If your education has not been conducted in English, you will be expected to demonstrate evidence of an adequate level of English proficiency.

The graduates are sought-after both in academia and industry. They are also encouraged and provided with full support in startup activities. Alumni can secure mid-level to senior positions in data science, machine learning, and artificial intelligence departments of innovative companies. PhD positions at top universities are also a common post-graduation destination. Some graduates choose to establish their own startups.