After completing the Program, the graduate:

• Lists and characterizes the main properties of fundamental particles;
• Describes the historical evolution of fundamental concepts in particle physics and reviews the current state of affairs;
• Describes specific mathematical methods used in both the Standard Model and other non-Abelian formal theories;
• Lists and describes the Lagrangian symmetries of the Standard Model, the parameters of models beyond the Standard Model, and methods for estimating their errors;
• Reviews the issues of neutrino physics and baryogenesis, interprets additional dimensions;
• Reviews the principles of the arrangement and operation of experimental facilities in high-energy physics;
• Reviews the issues of particle registration methodology;
• Lists and describes the technologies for creating existing detectors;
• Discusses the issues of modern experimental bases and technologies;
• Lists and characterizes the main elements of statistics and basic issues of data processing;
• Lists and characterizes the main methods of hypothesis testing, parameter estimation, and other methods;
• Lists the methods of multivariate analysis with machine learning and describes the methods of their use in data analysis;
• Lists and characterizes the main software packages for modeling and analyzing physical processes.

after completing the Program, the graduate:

• Relates fundamental interactions and properties of elementary particles;
• Demonstrates and evaluates the close connection between theoretical and experimental achievements in particle physics;
• Demonstrates the capabilities of theory and experiment and critically assesses their limits;
• Evaluates various theoretical models using experimental data and selects the optimal model;
• Critically evaluates the strengths and weaknesses of the Standard Model;
• Practically applies Noether's theorem;
• Evaluates the parameters of models beyond the Standard Model and their errors;
• Relates the properties of the interaction between the form symmetry group and fundamental particles;
• Constructs new models beyond the Standard Model;
• Practically uses existing detectors;
• Creates and develops new types of detectors;
• Operates a group of operating experimental facilities;
• Analyzes the situation and decides which new detector to engage in the development process;
• Operates the accelerators in the operation of the experimental facilities;
• Optimally uses the accelerator parameters during the experiment;
• Analyzes the situation and decides which new experiment to engage in the development process at the accelerator;
• Analyzes the data, sets a task, selects methods for solving it and applies it in practice;
• Uses the software packages necessary for statistical analysis in practice;
• Draws correct conclusions using criteria for testing statistical hypotheses;
• Independently conducts innovative research using experimental data.