• Data science is an interdisciplinary field that uses computer programs, statistics, probability, and analytics skills to extract knowledge and insights from structured and unstructured data. In the age of big data, strong analytical skills and the ability to manage and interpret big data are in high demand in many fields.
  • The study of statistics emphasizes careful problem analysis, the precision of thought and expression, and the mathematical skills needed for work in many other areas. Statisticians are interested both in the theory and the applications within their disciplines. Applied statisticians use tools growing out of probability, modeling, and computing to solve problems in science, industry, government, and other areas.
  • Data Scientists and statisticians may work in highly technical areas such as computer programming (e.g. as data scientists), or they may work in economics (e.g., marketing or risk analysts), in operations research, in insurance (as actuaries), or in any other field requiring sophisticated analytical skills. Some of these fields include sciences such as astronomy, chemistry, physics, engineering, biology, oceanography, meteorology, and ecology, or fields as diverse as linguistics, law, or business.
  • Miami's major in data science and statistics requires both theoretical and applied mathematics courses. During the first two years of study, most students majoring in statistics complete a sequence of calculus courses and a linear algebra course. With the help of an adviser, students select one or two additional courses that strengthen their preparation for upper-level studies.
  • The related hour's requirement is a concentration of courses in an area of study that has a well-established relationship with mathematics and statistics. This requirement enhances student's study of statistics and allows students to tailor the courses to their interests. There are specific tracks that students can follow in certain areas such as actuarial science and systems analysis. For other areas such as biological or social science, or decision science, students can design their program with departmental and adviser approval. The requirement also includes a course or demonstrated competency in computer programming.