Óbuda University
Master of Science in Applied Mathematics

Budapest, Hungary

DEGREE TYPE

MSc

DURATION

4 semesters

LANGUAGES

English

PACE

Full time

APPLICATION DEADLINE

EARLIEST START DATE

STUDY FORMAT

On-Campus

Key Summary

About : The Master of Science in Applied Mathematics offers a comprehensive understanding of mathematical theories and their applications in various fields. The program emphasizes practical problem-solving skills and prepares students to tackle real-world challenges using mathematical models. You'll engage in advanced coursework and research, building a strong foundation for further academic pursuit or industry applications.

Career Outcomes : Graduates have opportunities in diverse sectors such as finance, data analysis, engineering, and technology. Potential career paths include roles like data scientist, quantitative analyst, and systems engineer. With a solid mathematical background, you can also pursue academic positions or contribute to research and development in various industries.

In today's typically inter- and multidisciplinary working environment, there is a strong need for professionals with a strong theoretical background, capable of analyzing and effectively solving mathematical problems in engineering applications. Our Master's degree in Applied Mathematics with a specialization in Engineering Mathematics is unique in the country and represents a niche in this field. Applied mathematics is a branch of mathematics that focuses on mathematical methods applied in engineering and natural sciences, industry, and economics, modeling, analyzing and studying problems, developing and applying methods to solve them, and providing algorithmic tools for their study. The aim of the course is to train mathematicians who are able to effectively model and solve problems that arise in real-life applications, within engineering, natural sciences, industry, and management. The curriculum follows the recommendations of the SIAM, putting emphasis on application-oriented mathematics, practical applications, modeling and communication skills, teamwork, computer programming, and high-performance computing.