The Master of Data Analytics (MDA) is a one year interdisciplinary, professional science master’s program designed to produce professionals ready to pursue an analytics-focused career. The MDA provides students with the skills they need to be proficient in data analytics and practical experience applying those skills in an organizational setting. Program entry is once a year in September. The fall and winter terms curriculum consists of core and specialty field courses. The core curriculum teaches fundamental, technical data analytic skills in statistics and computer science such as databases; data carpentry, munging and wrangling; visualization and exploratory data analysis; statistical modelling and inference; supervised and unsupervised machine learning; unstructured data; and ethical data analysis. In addition, professional skills are developed through Business Skills and Data Consulting courses along with a Career Development Seminar Series. The specialty field courses develop technical skills in one of the following areas: Artificial Intelligence; Finance, Banking and Insurance; or Generalist.  MDA courses are taught by a cohort of more than twenty outstanding professors, Canada Research Chairs, faculty scholars, current and former department chairs and lecturers from the Departments of Computer Science and Statistical & Actuarial Sciences, including instructors with direct industry experience. The summer term consists of an Experiential Learning Opportunity (ELO), typically a co-op internship in industry or in some cases a major research project, where students will get practical experience using the analytics skills they have developed in a workplace environment. Western’s MDA program provides the technical training, professional development, and the practical experience necessary for graduates of the program to transition into data analytics careers in the public and private sectors.