Syllabi of disciplines

EDUCATIONAL – PROFESSINAL PROGRAM

«DATA ANALYTICS»

Second (master’s) level of higher education
in the specialty 113 Applied Mathematics
fields of knowledge 11 Mathematics and Statistics
Qualification: Master of Applied Mathematics

Code The name of discipline
Number of Credits ECTS Form of Final Control
1 MANDATORY EDUCATIONAL COMPONENTS
1.1 General studying
GS1 Intellectual Property 3 Test
GS2 Foreign Language for Professional Purposes 3 Test
GS3 Innovation Entrepreneurship and Startup Project Management 3 Test
1.2 Specialized (Professional) Studying
SS1 Nonlinear Processes and Models 4 Exam
SS2 Mathematical Methods of Machine Learning 1 5 Test
SS3 Mathematical Methods of Machine Learning 2 4 Exam
SS4 Ill-posed Problems of Data Processing 5 Exam
SS5 Metaheuristic Optimization Methods 4 Exam
SS6 Fundamentals of Scientific Research 5 Test
SS7 Pre-diploma Practice 15
SS Certification 15
Total Mandatory Components 66
2 ELECTIVE EDUCATIONAL COMPONENTS
2.1 Profiling studying
2.1.1 Profiling Discipline Package 1 “Big Data Intelligent Analysis”
PS1.1 Methods and Technologies for Working with Big Data 5  Exam
PS1.2 Graph Data Analysis 6  Exam
PS1.3 Machine Learning Engineering 5  Exam
2.1.2 Profiling Discipline Package 2 “Big Data Intelligent Analysis”
PS2.1 Analysis and Synthesis of Natural Language Information 5  Exam
PS2.2 Signal Processing Methods 6  Exam
PS2.3 Image Processing Methods 5  Exam
2.2 Free Choice Disciplines of Profiling Preparation (according to the list)
FCD1 Profiling Preparation Disciplines 1 4  Exam
FCD1 Profiling Preparation Disciplines 2 4  Exam

Total Elective Components

 24

TOTAL VOLUME OF THE EDUCATIONAL PROGRAM

 90