The Bachelor's program in Analytics in Economics at HSE University – St Petersburg is designed to equip students with a strong foundation in economic theory and advanced analytical skills. This program focuses on applying mathematical and statistical methods to solve complex economic problems, preparing graduates for careers in data analysis, economic forecasting, and research. Students will engage with core economic principles alongside rigorous training in quantitative methods, including econometrics, data science, and mathematical modeling. The curriculum emphasizes practical application, enabling students to develop sophisticated analytical tools and interpret economic data effectively. The program aims to foster critical thinking and problem-solving abilities essential for success in the evolving field of economics.
The program covers a range of essential economic and analytical subjects, with specific courses structured across different academic years and modules. A sample course from the first year, second semester, is Linear Algebra.
Fee information pertains to Master's programs. Exact tuition fees for Bachelor's programs and living costs are not specified in the provided text.
The Bachelor's program in Analytics in Economics at HSE University – St Petersburg equips students with a strong foundation in economic theory and advanced analytical skills, focusing on applying mathematical and statistical methods to solve economic problems.
The program covers core economic principles alongside rigorous training in quantitative methods, including econometrics, data science, and mathematical modeling. A sample first-year course is Linear Algebra.
International applicants should visit the HSE University – St Petersburg Admissions website for undergraduate programs, prepare required documents, and submit an online application through the applicant's personal account on the HSE admissions portal.
The provided data states that fee information pertains to Master's programs, and exact tuition fees for Bachelor's programs are not specified.
Graduates are prepared for roles in data analysis, economic forecasting, and research, developing skills in economic analysis, data interpretation, and quantitative modeling.