The pan-disciplinary PhD in Complex Systems and Data Science will be housed in the College of Engineering and Mathematical Sciences, providing strong computational and theoretical training, but varying with each student's chosen area of focus. Students will work within research groups across campus. With core courses such as Data Science, Principles of Complex Systems and Modeling Complex Systems and electives such as Machine Learning, Complex Networks, Evolutionary Computation, Human Computer Interaction and Data Mining, students will receive core training in empirical, computational and theoretical methods for describing and understanding complex systems and predicting, controlling, managing and creating such systems. Upon graduation, it is expected that graduates from the PhD in Complex Systems and Data Science will be highly sought out for professional roles in data science in a myriad of areas, including but not limited to, government, the military, journalism, professional sports and corporations.