The M.S. in Applied Statistics program is focused on producing graduates who are skilled in the science of big data, perform statistical analysis to detect hidden patterns in data, perform risk factor analysis and perform predictive analysis. The program is intended for students who have a mathematical background (not necessarily having a degree in mathematics or statistics) that want to develop strong data analytic skills to solve complex, real world problems. In addition to coursework, students also take a statistical consulting practicum course. The practicum is intended to give students practical, hands-on statistical consulting training.<br><br>If you have a background in mathematics and are looking to earn a master's degree full or part-time, Marquette's applied statistics master's program maybe the perfect fit. Whether youre a recent graduate or a working professional seeking career advancement, a master of science in applied statistics will help you develop strong data analytics skills that can be applied in a variety of fields. With our courses, students develop skills that give them a competitive edge in the workplace. Classes including modern data topics in Regression Analysis, Computational Probability, Statistical Simulation, Design of Scientific Experiments, and Statistical Machine Learning provide students with the know-how to succeed in various careers.<br><br>Along with our required courses, students also take a practicum course in Statistical Consulting, providing hands-on statistical consulting training. In turn, our program produces graduates who can deal with big data and perform statistical, risk factor and predictive analysis. <br><br>Full-time, dedicated students can complete the degree in as little as 12 months.