01.04.03 Mechanics and Mathematical Modeling

The program is aimed at training experts in mechanics and multidisciplinary areas with competencies in the development and implementation of mathematical models to solve actual clinical problems. In the process of training, students master modern methods of mathematical modeling of biological processes and objects, which allows improving existing and creating innovative approaches to diagnosis, treatment and prevention of diseases. The acquired skills help graduates to effectively solve the problems of drug development, as well as design and analyze clinical trials, contributing to the development of evidence-based and personalized medicine.

Quota Places (Targeted Admission) -

Quota Places (Special Category) -

Quota Places (Separate Category) -

State-Funded Places 15

Tuition-Based Places 10

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Program Curator Vaulina Kristina Igorevna

E-mail vaulina_k_i@staff.sechenov.ru

What will I study?

The programme includes courses in mathematical modelling in medicine, biomechanics, immunology, epidemiology, molecular dynamics and drug development. The programme includes courses in mathematical modelling in medicine, biomechanics, immunology, epidemiology, molecular dynamics and drug development. The mechanics of biological fluids and tissues are studied, as well as experimental methods for investigating biomechanical systems. This enables the formation of systems thinking and readiness to solve complex interdisciplinary problems.

Disciplines

Automated construction of computational grids in biomedical applications
Scientific Communication in Foreign Language
Artificial Intelligence
Mathematical modelling in biomedical engineering
Mathematical modelling in medicine
Mathematical modelling in molecular dynamics
Mathematical modelling in clinical research design and analysis
Mathematical modelling in medicinal development
Mechanics of biological fluids
Mechanics of biological tissues
Workshop on supercomputing
Optimisation theory
Pharmacometrics and population modelling
Experimental methods of biomechanical systems research

Program Advantages

Participation in solving topical problems of biomedicine using mathematical modelling methods
Opportunity to work on projects related to the analysis and prediction of physiological processes
Mastering the tools of machine learning and artificial intelligence for application in medical and pharmaceutical practice
Practical work under the supervision of leading scientists and specialists in the field of modelling and medicine
Inclusion in an interdisciplinary research environment and access to state-of-the-art laboratories
Develop skills in team-based research and clinician interaction
Preparation for careers at the intersection of maths, IT and healthcare

Career opportunities after graduation

Graduates of the programme can work as developers of mathematical and computer models to solve clinical and pharmaceutical problems, neural network architects, big data analysts, and data science researchers. A career as a Chief Data Officer in medical, pharmaceutical and research organisations is also possible.

Minimum Total Competitive Score for 2024

Total score including entrance exams and individual achievements

For quota places (targeted admission) -

For quota places (special category) -

For quota places (separate category) -

For state-funded places 47

For tuition-based places -

Entrance Exams

General Entrance Exams

For applicants with secondary general or higher education, as well as those mentioned in paragraph 3.11 of the Admission Rules

Exams

Preferential admission right according to Part 9 of Article 71 of the Federal Law No. 273-FZ

Internal Entrance Exams

For applicants with secondary vocational education

Exams

Preferential admission right according to Part 9 of Article 71 of the Federal Law No. 273-FZ

Tuition Fees

1st year of study

360000 ₽
2nd year of study

375000 ₽
Total Cost

735000 ₽