How can we get useful insights into big data sets? How can data help us understanding complex relationships? And how can we draw reliable conclusions from data and make realistic predictions?
Statisticians develop mathematical models and methods for gaining empirical knowledge. This opens up a brought variety of applications: statistical analyses in economics and science -- for example in medical or social surveys, or biological experiments -- demand people with profound knowledge in statistics.
If you apply for statistics, you can look forward to applied mathematics, its implementation in statistical software and interdisciplinary discussion of practical problems.