This Master's level course, "Biological Basis of Hunting Management," is designed for first-year master's students. It provides an in-depth understanding of the biology of game animals, principles of rational natural resource management, and the relevant legal framework. The program emphasizes practical applications of hunting science and the specifics of scientific and practical work within various hunting estates. The course aims to equip students with a comprehensive understanding of the challenges, approaches, and operational structures of hunting management in the context of current legislation and intensive animal resource utilization. A key objective is to foster an understanding of sustainable resource management, hunting grounds, and hunting science, along with methods for organizing hunting estates in the Russian Federation. Practical tasks and simulations of hunting estate management are integral parts of the curriculum.
The curriculum covers a range of topics crucial for understanding and managing hunting resources.
Graduates from the Faculty of Computational Mathematics and Cybernetics (which likely houses related fields) are competitive in the job market due to their strong theoretical and practical training. They find employment in various sectors utilizing computer technology, including research institutes, universities, government bodies, financial institutions, and both Russian and international companies.
No fee information was provided for this program.
This Master's level course provides an in-depth understanding of game animal biology, rational natural resource management principles, and the relevant legal framework. It emphasizes practical applications of hunting science and the specifics of scientific and practical work within various hunting estates.
The curriculum includes modules such as Introduction to Hunting Management, Hunting: Types, Concepts, and Ecological Role, Management of Game Animal Populations, and the Modern Regulatory and Legal Framework of Hunting and Wildlife Exploitation in Russia.
This course is intended for first-year master's students.
No specific fee information was provided for this program.
Graduates can pursue roles such as Data Analyst, Software Developer, Researcher, or University Lecturer. Further postgraduate studies (Aspirantura) are also an option.
Information on how to apply to Moscow State University is not specific to this program. Prospective students should refer to the university's general admissions guidelines.