Following a comprehensive, in-depth and well-paced curriculum, Bay Path's Applied Data Science program leads students through statistical topics from maximum likelihood, hypothesis testing, and survey sampling, to re-sampling methods, time series analysis, and Bayesian analysis, to various regression methods, and eventually to a detailed treatment of machine learning methods such as support vector machines, tree-based methods, neural networks, graphical models, EM algorithms and ensemble learning. Both applied aspects and theoretical principles will be emphasized throughout this advanced program. Important programming tools such as SQL, R, Python, and SAS will be utilized in our SAS joint certificate program.
Our outstanding faculty team boasts many academic achievements, years of industry experience, and includes leaders of cutting-edge data teams. For recent graduates, our program will provide you with a solid foundation in both theory and applications to launch your career in a desirable area. For seasoned business analysts, this will serve as a "bridge program" for effective collaboration with data scientists and for better business insights in your industry.