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

The code Components of the Educational Program (disciplines, projects/works, practice, qualification work) Number of Credits ECTS Form of final control
1 2 3 4

MANDATORY EDUCATIONAL COMPONENTS
 General studying
GS1 Innovation Entrepreneurship and Startup Project Management 3 Test
GS2 Foreign Language for Professional Purposes 3 Test
GS3 Intellectual Property 3 Test
Specialized (Professional) Studying
SS1 Mathematical Methods of Machine Learning 1 5 Test
SS1 Ill-posed Problems of Data Processing 5 Exam
SS1 Mathematical Methods of Machine Learning 2 4 Exam
SS1 Nonlinear Processes and Models 4 Exam
SS1 Metaheuristic Optimization Methods 4 Exam
SS1 Fundamentals of Scientific Research 5 Exam
SS1 Pre-diploma Practice 11 Test
SS1 Certification 19 Test
Total Mandatory Components 66
ELECTIVE EDUCATIONAL COMPONENTS
Profiling studying
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
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
Free Choice Disciplines of Profiling Preparation (according to the list)
FCD1 Profiling Preparation Disciplines 1 4 Exam
FCD2 Profiling Preparation Disciplines 2 4 Exam
Total Elective Components 24
TOTAL VOLUME OF THE EDUCATIONAL PROGRAM 90