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HSE University

Moscow , Moscow ,Russia

Master’s Programme in Statistical Learning Theory

This new joint programme trains the next generation of scientists to effectively carry out fundamental research and work on new challenging problems in statistical learning theory. This field is at the cutting edge of various disciplines of mathematics and computer science. It is one of the most dynamic areas of modern science, encompassing mathematical statistics, machine learning, optimization, and information and complexity theory. From the start of the programme, students collaborate in thematic working groups and actively participate in research, learning from HSE and Skoltech scientists as well as leading global specialists in statistics, optimization and machine learning.

Intakes

  • Nov Deadline: July
  • Nov Deadline: July

Application Processing Time in Days: 14

Minimum English Language Requirements

English Level Description IELTS (1.0 -9.0) TOEFL IBT (0-120) TOEFL CBT (0-300) PTE (10-90)
Expert 9 120 297-300 86-90
Very Good 8.5 115-119 280-293 83-86
Very Good 8 110-114 270-280 79-83
Good 7.5 102-109 253-267 73-79
Good 7 94-101 240-253 65-73
Competent 6.5 79-93 213-233 58-65
Competent 6 60-78 170-210 50-58
Modest 5.5 46-59 133-210 43-50
Modest 5 35-45 107-133 36-43
Limited 4 32-34 97-103 30-36
Extremely Limited < 4 < 31 < 93 < 30