The training program includes the following modules:

• The 2 subjects of the general knowledge block of Vietnam National University, Hanoi are Philosophy and Basic English. The basic English course is a conditional course, which is organized for general training throughout VNU for students in need and is assessed according to the 6-level Foreign Language Competency Framework for Vietnam or equivalent. The results of the foreign language course assessment are not included in the cumulative GPA, but are still included in the total number of credits of the training program;

• 6 compulsory modules including a specialized English course and 5 basic and specialized knowledge modules;

• 8 elective courses, 4 of which belong to the group Random Methods - Statistical Modeling - Modern Applied Statistics; 1 course belongs to the group of Parallel / Distributed Computing Methods (manipulating big data) and 3 modules to the group of applications: analysis of social network data, scientific data, sociology, management, big data mining, data visualization, practical internship. Graduation essay.

Compulsory courses:

• MAT6101 Numerical methods for linear algebra
• MAT6202 Advanced optimization
• MAT6204 Discrete math and algorithms
• MAT6205 Advanced software development for scientific computing
• MAT6209 Machine Learning and Data Mining

Elective courses:

• MAT6203 Introduction to statistical inference
• MAT6206 Randomization methods and applications
• MAT6207 Random algorithms and probability analysis
• MAT6208 Introduction to Statistical Modeling
• MAT6210 Machine Learning and Advanced Data Mining
• MAT6211 Distributed and optimized algorithms
• MAT6212 Parallel methods in numerical analysis
• MAT6213 Parallel computer architecture and programming
• MAT6214 Parallel and distributed data mining
• MAT6215 Analysis of information and social networks
• MAT6216 Data Mining
• MAT6217 Some computer graphics problems
• MAT6218 Specialized scientific data analysis
• MAT6219 Statistical analysis in management
• MAT6220 Modern statistical methods in sociology research