- LocationNatural Science Building #214
The program aims to cultivate talents capable of mathematical thinking and deductive reasoning, which are the basis of modern science and technology. Further, it helps develop professional personnel who can build and analyze a mathematical model of phenomena in society and the industry, and practical talents who will lead the flow of the Fourth Industrial Revolution with data analysis and programming ability.
While as being faithful to the basics, the Applied Mathematics program provides various courses of applied mathematics in a balanced way for students who want to learn the essential knowledge of pure and applied mathematics and subsequently advance into professional jobs that utilize mathematics, or related fields such as statistics, computer science, and financial engineering.
The essential contents of undergraduate mathematics are as follows. Students learn differential and integral calculus and learn multivariate functional theory and vector analysis toward analysis. Additionally, courses ranging from topics such as linear algebra, differential equation, and complex analysis have been established. As algebra, number theory, topology, and differential geometry are established, students learn the essentials of undergraduate mathematics.
As a characteristic of Applied Mathematics major, there are several statistical courses such as basic statistics, mathematical statistics, insurance statistics, and practical education through numerical analysis. Further, through subjects such as financial mathematics, probability theory, and industrial mathematics, students are enabled to experience the power of mathematics that analyzes and solves problems focusing on modern society.
To learn the language of the fourth industrial era, a programming language is established in common with the first year undergraduate departments of Software & Service Computing and Software Convergence, and then, through graph theory, discrete mathematics, and probability theory, students learn mathematical theories that are widely used in computer science. The program operates machine learning and deep learning courses in common with the Software Convergence major and pursues diversity in career choices.
Career paths after graduation
- Advanced study of major through graduate school
- Path to middle and high school teacher through the Graduate School of Education
- Employment at financial institutions such as banks, securities companies and insurance companies
- Computer-related position at financial institution and company
- Professional programmer in computer-related venture company
- Employment at survey research organization