Master of Science - Applied Mathematics - Data Analytics

In our graduate program you will master probabilistic modeling, data mining and machine learning, operations research and statistics, and work on projects that combine these tools to solve complex problems and make informed decisions. Analytics is one of the fastest growing fields in business, industry and government. According to the Bureau of Labor and Statistics, job growth in this field will increase by 30% in the next 10 years. If you have a quantitative undergraduate degree and have taken Calculus I-II-III, Linear Algebra and Probability, then our 30-credit M.S. in applied mathematics - data analytics program provides students with experience in: computational methods; applied linear algebra; statistical methodology and probabilistic modeling; machine learning; operations research and non-linear optimization; and database methods. You will use computing and programming environments such as MATLAB, R and Python. You can also take electives in mathematics, business and computer science.