1, mathematical statistics
Mathematical statistics is to analyze and study the statistical data more deeply by using the results of probability theory, and to find the inherent laws of some phenomena by observing their frequency, so as to make the judgment and prediction of shortage; Summarize the results of these studies and finally form a mathematical model.
Its employment direction: finance, insurance industry; Market research, consulting and information industry sector; Investment, securities and social security institutions; Institutions of higher learning and national statistical departments; Various companies, etc.
2. Biostatistics
Biostatistics is a science that discusses how to design, sample, analyze, sort out and infer biological experimental research. Many schools in SPH have set up biostatistics (School of Public Health).
Its employment prospects are: graduates, whether masters or doctors, are easy to find jobs. Doctoral students can be teachers in universities; Be able to do analysis in pharmaceutical companies and biotechnology companies; Yes Graduates also enter the financial and insurance industry. You can work in a hospital or in a scientific research institution.
3. Financial statistics
Financial statistics refers to the investigation, collection, collation and analysis of information and data of various financial business activities by the central bank and statistical departments of financial institutions, providing statistical information and statistical consultation, exchanging and sharing information, and managing and supervising financial statistics.
Employment orientation: 1. Securities fund ii. Banking class 3. Four clubs. Regulator 6. Large monopoly state-owned enterprises 7. Insurance category 8. Others (investment companies, guarantee companies).
4. Applied statistics
Applied statistics refers to the application of general theories and methods of statistics in social, natural, economic, engineering and other fields, as well as specific methodological problems encountered in the application. It is an interdisciplinary subject between statistics and other disciplines, and it is the source of the development of theoretical statistics.
Its employment prospects are: the occupations that students can engage in after graduation include mathematicians, statisticians, operational analysts, computer programmers, teachers, financial analysts, corporate accountants, securities analysts and so on.