Admission to the graduate program in 113 Applied Mathematics (track: Data Science and Mathematical Modeling) in 2019 is conducted on a competitive basis.

Additional information about applying for graduate programs can be found on the Igor Sikorsky KPI Admission Committee website.

Exam syllabi for admissions to the graduate program:

• Syllabus of Composite Professional Exam for Admissions to the Master (Graduate) Program (113 Applied Mathematics Major, Data Science and Mathematical Modeling Track)
• Syllabus of Additional Admission Exam for Admissions to the Master (Graduate) Program (113 Applied Mathematics Major, Data Science and Mathematical Modeling Track)
• Syllabus of Admission Exam in Foreign Language for Specific Purposes for Admissions to the Master (Graduate) Program

The following courses are taught at the graduate program:

• Educational and Professional Master Program, 1 year and 4 months (see curriculum): “Machine Learning,” “Fuzzy Mathematics,” “Data Mining,” "Architecture and Technology of Big Data Systems," "Blockchain Technology," “Decision Support Methods,” “Methods of Reliability Theory and Risks,” “Complex Systems Modeling,” “Numerical Methods for Partial Differential Equations,” “Mathematical Modeling of Biomedical Systems and Processes,” “Foundations of Scientific Research”
• Educational and Scientific Master Program, 1 year and 9 months (see curriculum): the same as above plus “Big Data Mining,” “Text Mining,” “Project Management,” “Applied Modeling,” “System Engineering,” “Scientific Wokrshop”

We wish you the best of luck with your application, and look forward to meeting you at the Applied Mathematics Department!